Journal articles: 'Micro turbine eoliche Hybrid energy system'

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Yin, Jun lian, De zhong Wang, Yu-Taek Kim, and Young-Ho Lee. "A hybrid energy storage system using pump compressed air and micro-hydro turbine." Renewable Energy 65 (May 2014): 117–22. http://dx.doi.org/10.1016/j.renene.2013.07.039.

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Chand, MRR, H. Ibrahim, Z. Azran, A. Arshad, and F. Basrawi. "Review on Recent Development Micro Gas Turbine -Trigeneration System and Photovoltaic Based Hybrid Energy System." MATEC Web of Conferences 74 (2016): 00028. http://dx.doi.org/10.1051/matecconf/20167400028.

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Yang, Yanzhao, Fu Chen, Jianyang Yu, Yanping Song, and Zhiping Guo. "Design and experiment study of a micro radial-flow turbine for a SOFC-MGT turbine hybrid system." Energy Conversion and Management 266 (August 2022): 115861. http://dx.doi.org/10.1016/j.enconman.2022.115861.

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Yaïci, Wahiba, Evgueniy Entchev, and Michela Longo. "Recent Advances in Small-Scale Carbon Capture Systems for Micro-Combined Heat and Power Applications." Energies 15, no. 8 (April 16, 2022): 2938. http://dx.doi.org/10.3390/en15082938.

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To restrict global warming and relieve climate change, the world economy requires to decarbonize and reduce carbon dioxide (CO2) emissions to net-zero by mid-century. Carbon capture and storage (CCS), and carbon capture and utilization (CCU), by which CO2 emissions are captured from sources such as fossil power generation and combustion processes, and further either reused or stored, are recognized worldwide as key technologies for global warming mitigation. This paper provides a review of the latest published literature on small-scale carbon capture (CC) systems as applied in micro combined heat and power cogeneration systems for use in buildings. Previous studies have investigated a variety of small- or micro-scale combined heat and power configurations defined by their prime mover for CC integration. These include the micro gas turbine, the hybrid micro gas turbine and solid-state fuel cell system, and the biomass-fired organic Rankine cycle, all of which have been coupled with a post-combustion, amine-based absorption plant. After these configurations are defined, their performance is discussed. Considerations for optimizing the overall system parameters are identified using the same sources. The paper considers optimization of modifications to the micro gas turbine cycles with exhaust gas recirculation, humidification, and more advanced energy integration for optimal use of waste heat. Related investigations are based largely on numerical studies, with some preliminary experimental work undertaken on the Turbec T100 micro gas turbine. A brief survey is presented of some additional topics, including storage and utilization options, commercially available CC technologies, and direct atmospheric capture. Based on the available literature, it was found that carbon capture for small-scale systems introduces a large energy penalty due to the low concentration of CO2 in exhaust gases. Further development is required to decrease the energy loss from CC for economic feasibility on a small scale. For the micro gas turbine, exhaust gas recirculation, selective gas recirculation, and humidification were shown to improve overall system economic performance and efficiency. However, the highest global efficiencies were achieved by leveraging turbine exhaust waste heat to reduce the thermal energy requirement for solvent regeneration in the CC plant during low- or zero-heating loads. It was shown that although humidification cycles improved micro gas turbine cycle efficiencies, this may not be the best option to improve global efficiency if turbine waste heat is properly leveraged based on heating demands. The biomass-organic Rankine cycle and hybrid micro gas turbine, and solid-state fuel cell systems with CC, are in early developmental stages and require more research to assess their feasibility. However, the hybrid micro gas turbine and solid-state fuel cell energy system with CC was shown numerically to reach high global efficiency (51.4% LHV). It was also shown that the biomass-fired organic Rankine cycle system could result in negative emissions when coupled with a CC plant. In terms of costs, it was found that utilization through enhanced oil recovery was a promising strategy to offset the cost of carbon capture. Direct atmospheric capture was determined to be less economically feasible than capture from concentrated point sources; however, it has the benefit of negative carbon emissions.

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Bedont, P., O. Grillo, and A. F. Massardo. "Off-Design Performance Analysis of a Hybrid System Based on an Existing Molten Fuel Cell Stack." Journal of Engineering for Gas Turbines and Power 125, no. 4 (October 1, 2003): 986–93. http://dx.doi.org/10.1115/1.1587742.

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This paper addresses the off-design analysis of a hybrid system (HS) based on the coupling of an existing Ansaldo Fuel Cells (formerly Ansaldo Ricerche) molten carbonate fuel cell (MCFC) stack (100 kW) and a micro gas turbine. The MCFC stack model at fixed design conditions has previously been presented by the authors. The present work refers to an off-design stack model, taking into account the influence of the reactor layout, current density, air and fuel utilization factor, CO2 recycle loop, cell operating temperature, etc. Finally, the design and off-design model of the whole hybrid system is presented. Efficiency at part load condition is presented and discussed, taking into account all the constraints for the stack and the micro gas turbine, with particular emphasis on CO2 recycle control.

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Lawan, Moussa Gaptia, Mamadou Baïlo Camara, Abdulkareem Shaheed Sabr, Brayima Dakyo, and Ahmed Al Ameri. "Power Control Strategy for Hybrid System Using Three-Level Converters for an Insulated Micro-Grid System Application." Processes 10, no. 12 (November 29, 2022): 2539. http://dx.doi.org/10.3390/pr10122539.

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This paper presents a simulation of an insulated micro-grid system based on the three-level converters control for energy management. Different renewable power sources (wind turbine and Photovoltaic (PV) energy systems) are used to energize the micro-grid. However, a battery energy storage system (BESS) and a variable diesel generator are also used to improve the reliability of the system. The contribution of this research is focused on the power control method based on improving the quality of energy transfer, mastering dynamic interactions and maximum energy production from renewable energies to reduce the fuel consumption by the diesel. Firstly, the proposed control model for each renewable energy was carried out through simulation in the environments of Matlab and Simulink to test the robustness and performance. The second part of this research is dedicated to managing the sharing of power between load, generators, and storage systems by extracting the references of power. The three-level PWM rectifiers for variable speed diesel generators was used to maintain and control the DC bus voltage of the isolated micro-grid. The results obtained from simulations show a good correlation between static and dynamic systems even for fluctuating sun power and wind speed.

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Al-Quraan, Ayman, and Muhannad Al-Qaisi. "Modelling, Design and Control of a Standalone Hybrid PV-Wind Micro-Grid System." Energies 14, no. 16 (August 9, 2021): 4849. http://dx.doi.org/10.3390/en14164849.

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The problem of electrical power delivery is a common problem, especially in remote areas where electrical networks are difficult to reach. One of the ways that is used to overcome this problem is the use of networks separated from the electrical system through which it is possible to supply electrical energy to remote areas. These networks are called standalone microgrid systems. In this paper, a standalone micro-grid system consisting of a Photovoltaic (PV) and Wind Energy Conversion System (WECS) based Permanent Magnet Synchronous Generator (PMSG) is being designed and controlled. Fuzzy logic-based Maximum Power Point Tracking (MPPT) is being applied to a boost converter to control and extract the maximum power available for the PV system. The control system is designed to deliver the required energy to a specific load, in all scenarios. The excess energy generated by the PV panel is used to charge the batteries when the energy generated by the PV panel exceeds the energy required by the load. When the electricity generated by the PV panels is insufficient to meet the load’s demands, the extra power is extracted from the charged batteries. In addition, the controller protects the battery banks in all conditions, including normal, overcharging, and overdischarging conditions. The controller should handle each case correctly. Under normal operation conditions (20% < State of Charge (SOC) < 80%), the controller functions as expected, regardless of the battery’s state of charge. When the SOC reaches 80%, a specific command is delivered, which shuts off the PV panel and the wind turbine. The PV panel and wind turbine cannot be connected until the SOC falls below a safe margin value of 75% in this controller. When the SOC goes below 20%, other commands are sent out to turn off the inverter and disconnect the loads. The electricity to the inverter is turned off until the batteries are charged again to a suitable value.

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Bashar, Abul, and Smys S. "Integrated Renewable Energy System for Stand-Alone Operations with Optimal Load Dispatch Strategy." June 2021 3, no. 2 (June 3, 2021): 89–98. http://dx.doi.org/10.36548/jei.2021.2.002.

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The hybrid system configuration is used for meeting the thermal and electrical load demands of an off-grid network simultaneously with the model proposed in this paper. Li-ion battery, Micro Gas Turbine (MGT), wind turbine and solar photovoltaic configurations are analyzed. Hybrid Optimization of Multiple Electric Renewables (HOMER) software is used for estimating utilization of various strategies for power management, recovered waste heat and excess energy in the model. The heating demand is met and examined by the thermal load controller with and without the options of waste heat recovery. The hybrid system hardware components are sized, compared and analyzed based on cyclic charging (CC) and load following (LF) dispatch strategies. Various electrical to thermal load ratio are considered for examining the system performance. Various uncertainties and their effects are reported on comparison of grid-connected and stand-alone options. The hardware components are reduced in size thereby appreciable cost benefits are observed in the results. In the optimized hybrid system, the renewable energy fraction is increased causing high renewable penetrations and the CO2 emission is reduced by a large value. For all the configurations analyzed, several environmental and cost benefits are offered by the CC strategy.

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Marcellan, Anna, Alessio Abrassi, and Marius Tomberg. "Cyber-Physical System of a Solid Oxide Fuel Cell/Micro Gas Turbine Hybrid Power Plant." E3S Web of Conferences 113 (2019): 02006. http://dx.doi.org/10.1051/e3sconf/201911302006.

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A hybrid power plant combining a solid oxide fuel cell (SOFC) and a micro gas turbine (MGT) is a suitable technology solution for decentralized energy production utilizing natural gas and biogas. Despite having high electrical efficiency and low emissions, the dynamic interactions between components can lead to damages of the system if a comprehensive control strategy is not applied. Before building a coupled hybrid power plant demonstrator, the “hybrid system emulators” approach is followed to solve any integration issues. A test rig consisting of an MGT and emulated SOFC is developed. The dynamics of the SOFC are reproduced by a real time model. The created cyber-physical system provides an effective platform to validate and optimize the control concepts for the future hybrid demonstrator by adding the complexity of the hybrid plant to the MGT test rig. The ability to develop and test the control strategy on such a system dramatically reduces the technology risk and increases the chances of success for the demonstrator operation.

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Cameretti, Maria Cristina, Antonino Pontecorvo, and Raffaele Tuccillo. "Performance and Combustion Analysis of a Micro Gas Turbine–Solid Oxide Fuel Cell Hybrid System." Journal of Fuel Cell Science and Technology 4, no. 4 (April 28, 2006): 459–67. http://dx.doi.org/10.1115/1.2756572.

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An integrated methodology aims at estimation of the actual possibility of operating an hybrid system based on a solid oxide fuel cell and a micro gas turbine, by paying special attention to the adaptation of the rotating and stationary components to the off-design conditions. The method leads to the definition of the operating space of the hybrid system, thus allowing detection of optimal choices for an efficient part-load operation. The computational fluid dynamics (CFD)-based analysis of the combustion chamber is addressed to the verification of the response of this component when employed as an afterburner of the residual species from the fuel cell.

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Duan, Jiandong, Junjie Liu, Qian Xiao, Shaogui Fan, Li Sun, and Guanglin Wang. "Cooperative controls of micro gas turbine and super capacitor hybrid power generation system for pulsed power load." Energy 169 (February 2019): 1242–58. http://dx.doi.org/10.1016/j.energy.2018.12.004.

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Figaj, Rafał, Krzysztof Sornek, Szymon Podlasek, and Maciej Żołądek. "Operation and Sensitivity Analysis of a Micro-Scale Hybrid Trigeneration System Integrating a Water Steam Cycle and Wind Turbine under Different Reference Scenarios." Energies 13, no. 21 (October 30, 2020): 5697. http://dx.doi.org/10.3390/en13215697.

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Renewable energy sources, such as solar, wind, biomass, and geothermal energy, are being more and more adopted in small and micro-scale distributed generation systems. In this context, different hybrid configurations and layouts that may adopt, lead to different energy and economic performance of energy generation systems. In micro-scale applications, biomass and solar energy sources are more frequently investigated in literature compared to other combinations as biomass and wind energy. The analysis of the performance of a novel small-scale trigeneration system is presented in this paper. The system includes biomass boiler, water steam turbine, absorption chiller, and wind turbine, and it is linked to the electric grid by means of a bidirectional connection, allowing to the store virtually the electrical energy produced in excess, and use when needed. For the proposed system, a zootechnical farm and a residential building are considered as case study, including different scenarios for the reference energy system. The Transient System Simulation (TRNSYS software is used to model, simulate, and investigate the system performance under realistic operation conditions. Energy and economic performance of the system is assessed by means of a daily, weekly, and yearly analysis. The effect of the main design parameters, as steam and wind turbine power on the system performance, is investigated by means of a sensitivity analysis. The investigations show that the Simple Pay Back time of the proposed system is below 6 years, when the biomass is free, capacities of steam and wind turbines lower than 4 kW are selected, and a reference system with a natural gas boiler and electrical grid is considered. The system allows one to achieve satisfactory energy and economic performance under the considered conditions, when a proper design of the system component capacities is adopted.

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Mohamed, Ali, Alkhalaf, Senjyu, and Hemeida. "Optimal Allocation of Hybrid Renewable Energy System by Multi-Objective Water Cycle Algorithm." Sustainability 11, no. 23 (November 20, 2019): 6550. http://dx.doi.org/10.3390/su11236550.

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This article offers a multi-objective framework for an optimal mix of different types of distributed energy resources (DERs) under different load models. Many renewable and non-renewable energy resources like photovoltaic system (PV), micro-turbine (MT), fuel cell (FC), and wind turbine system (WT) are incorporated in a grid-connected hybrid power system to supply energy demand. The main aim of this article is to maximize environmental, technical, and economic benefits by minimizing various objective functions such as the annual cost, power loss and greenhouse gas emission subject to different power system constraints and uncertainty of renewable energy sources. For each load model, optimum DER size and its corresponding location are calculated. To test the feasibility and validation of the multi-objective water cycle algorithm (MOWCA) is conducted on the IEEE-33 bus and IEEE-69 bus network. The concept of Pareto-optimality is applied to generate trilateral surface of non-dominant Pareto-optimal set followed by a fuzzy decision-making mechanism to obtain the final compromise solution. Multi-objective non-dominated sorting genetic (NSGA-III) algorithm is also implemented and the simulation results between two algorithms are compared with each other. The achieved simulation results evidence the better performance of MOWCA comparing with the NSGA-III algorithm and at different load models, the determined DER locations and size are always righteous for enhancement of the distribution power system performance parameters.

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Reale, Fabrizio, and Raniero Sannino. "Numerical Modeling of Energy Systems Based on Micro Gas Turbine: A Review." Energies 15, no. 3 (January 26, 2022): 900. http://dx.doi.org/10.3390/en15030900.

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In the context of the great research pulse on clean energy transition, distributed energy systems have a key role, especially in the case of integration of both renewable and traditional energy sources. The stable interest in small-scale gas turbines can further increase owing to their flexibility in both operation and fuel supply. Since their not-excellent electrical efficiency, research activities on micro gas turbine (MGT) are focused on the performance improvements that are achievable in several ways, like modifying the Brayton cycle, integrating two or more plants, using cleaner fuels. Hence, during the last decades, the growing interest in MGT-based energy systems encouraged the development of many numerical approaches aimed to provide a reliable and effective prediction of the energy systems’ behavior. Indeed, numerical modeling can help to individuate potentialities and issues of each enhanced layout or hybrid energy system, and this review aims to discuss the various layout solutions proposed by researchers, with particular attention to recent publications, highlighting the adopted modeling approaches and methods.

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Feddaoui, Omar, Riad Toufouti, Labed Jamel, and Salima Meziane. "Fuzzy logic control of hybrid systems including renewable energy in microgrids." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 6 (December 1, 2020): 5559. http://dx.doi.org/10.11591/ijece.v10i6.pp5559-5569.

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With a growing demand for more energy from subscribers, a traditional electric grid is unable to meet new challenges, in the remote areas remains the extension of the conventional electric network very hard to do make prohibitively expensive. Therefore, a new advanced generation of traditional electrical is inevitable and indispensable to move toward an efficient, economical, green, clean and self-correcting power system. The most well-known term used to define this next generation power system is Micro Grid (MG) based on renewable energy sources (RES). Since, the energy produced by RES are not constant at all times, a wide range of energy control techniques must be involved to provide a reliable power to consumers. To solve this problem in this paper we present a Fuzzy Logic Control of isolated Hybrid Systems (HRES) Including Renewable Energy in Micro-Grids to maintain a stability in voltage and frequency output especially in the standalone application. The considered HRES combine a wind turbine (WT) and photovoltaic (PV) panels as primary energy sources and an energy storage system (ESS) based on battery as a backup solution. Simulation results obtained from MATLAB/Simulink environment demonstrate the effectiveness of the proposed algorithm in decreasing the electricity bill of customer.

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Huang, Xiaoqin, and Fangming Yang. "Research on thermal energy control of photovoltaic fuel based on advanced energy storage management." Thermal Science 24, no. 5 Part B (2020): 3089–98. http://dx.doi.org/10.2298/tsci191030083h.

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This paper proposes a photovoltaic fuel cell power generation system to convert solar thermal energy into electrical energy after storage. The energy conversion method of the system mainly utilizes hydrogen storage to realize long-term storage of thermal energy, and realizes continuous and stable power supply through the co-operation between the micro-gas turbine and the proton exchange membrane fuel cell. Based on the model of each component, the simulation platform of photovoltaic fuel cell hybrid thermal energy storage control power generation system is built. Based on the design principle and design requirements of photovoltaic power generation system, the photovoltaic fuel cell hybrid power generation system studied in this paper has a simple capacity. Match the design and conduct thermal energy storage management research on the system according to the system operation requirements. The paper studies the management of hybrid fuel energy storage control system for photovoltaic fuel cells. The paper is based on advanced thermal energy storage management for photovoltaic prediction and load forecasting, and through the organic combination of these three layers of thermal energy storage management to complete the thermal energy storage management of the entire system. Finally, the real-time thermal energy storage management based on power tracking control is simulated and analyzed in MATLAB/Simulink simulation environment.

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KIMIJIMA, Shinji. "Performance analysis of the small distributed energy system based on a micro gas turbine-solid oxide fuel cell hybrid system." Proceedings of the Symposium on Environmental Engineering 2004.14 (2004): 419–22. http://dx.doi.org/10.1299/jsmeenv.2004.14.419.

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Komatsu, Y., S. Kimijima, and J. S. Szmyd. "Performance analysis for the part-load operation of a solid oxide fuel cell–micro gas turbine hybrid system." Energy 35, no. 2 (February 2010): 982–88. http://dx.doi.org/10.1016/j.energy.2009.06.035.

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Wu, Xiao-Juan, Qi Huang, and Xin-Jian Zhu. "Power decoupling control of a solid oxide fuel cell and micro gas turbine hybrid power system." Journal of Power Sources 196, no. 3 (February 2011): 1295–302. http://dx.doi.org/10.1016/j.jpowsour.2010.07.095.

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Wu, Xiao-Juan, and Xin-Jian Zhu. "Multi-loop control strategy of a solid oxide fuel cell and micro gas turbine hybrid system." Journal of Power Sources 196, no. 20 (October 2011): 8444–49. http://dx.doi.org/10.1016/j.jpowsour.2011.05.075.

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Laxmi, Ch, Narendra Kumar, and Rajendra Kumar Khad. "An Effective Load Management for Grid Connected Hybrid Energy Sources." International Journal of Circuits, Systems and Signal Processing 16 (September 19, 2022): 1129–34. http://dx.doi.org/10.46300/9106.2022.16.136.

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This paper introduces to control a standalone hybrid renewable system, involving PV cell and wind turbines as the primary energy sources along with fuel cell and battery energy source as an emotionally supportive system. While trying to work on the solidness and security of the hybrid renewable system sustainable framework, a battery bank, is incorporated as supporting units, due to the discontinuous and fluctuation in primary energy sources commitment. In this paper we model an independent sustainable source micro grid with various sources, which are wind energy with PMSG, PV panel, Fuel cell and battery storage system. Analysis of each source is done under variation conditions and variation of source parameters, such as wind speed of wind turbine, illumination, temperature of PV cell and state of charge of the battery. If main power sources of PV panel and wind turbines is not available, the battery storage device act as backup supply for load. This storage source (battery) can be charged when abundance power is produced from the PV panel and wind generation system. Investigation on each sources with dynamic changes of boundaries are studied with siumulation results analysis is studied by utilizing MATLAB/ SIMULINK software.

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Saib, S., A. Gherbi, R. Bayindir, and A. Kaabeche. "Multi-objective Optimization of a Hybrid Renewable Energy System with a Gas Micro-turbine and a Storage Battery." Arabian Journal for Science and Engineering 45, no. 3 (August 5, 2019): 1553–66. http://dx.doi.org/10.1007/s13369-019-04066-4.

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Autissier, N., F. Palazzi, F. Marechal, J. van Herle, and D. Favrat. "Thermo-Economic Optimization of a Solid Oxide Fuel Cell, Gas Turbine Hybrid System." Journal of Fuel Cell Science and Technology 4, no. 2 (June 15, 2006): 123–29. http://dx.doi.org/10.1115/1.2714564.

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Large scale power production benefits from the high efficiency of gas-steam combined cycles. In the lower power range, fuel cells are a good candidate to combine with gas turbines. Such systems can achieve efficiencies exceeding 60%. High-temperature solid oxide fuel cells (SOFC) offer good opportunities for this coupling. In this paper, a systematic method to select a design according to user specifications is presented. The most attractive configurations of this technology coupling are identified using a thermo-economic multi-objective optimization approach. The SOFC model includes detailed computation of losses of the electrodes and thermal management. The system is integrated using pinch based methods. A thermo-economic approach is then used to compute the integrated system performances, size, and cost. This allows to perform the optimization of the system with regard to two objectives: minimize the specific cost and maximize the efficiency. Optimization results prove the existence of designs with costs from 2400$∕kW for a 44% efficiency to 6700$∕kW for a 70% efficiency. Several design options are analyzed regarding, among others, fuel processing, pressure ratio, or turbine inlet temperature. The model of a pressurized SOFC–μGT hybrid cycle combines a state-of-the-art planar SOFC with a high-speed micro-gas turbine sustained by air bearings.

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Magistri, L., P. Costamagna, A. F. Massardo, C. Rodgers, and C. F. McDonald. "A Hybrid System Based on a Personal Turbine (5 kW) and a Solid Oxide Fuel Cell Stack: A Flexible and High Efficiency Energy Concept for the Distributed Power Market." Journal of Engineering for Gas Turbines and Power 124, no. 4 (September 24, 2002): 850–57. http://dx.doi.org/10.1115/1.1473825.

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In this paper a high efficiency and flexible hybrid system representing a new total energy concept for the distributed power market is presented. The hybrid system is composed of a very small size (5 kW) micro gas turbine (named personal turbine—PT) presented in a companion paper by the authors coupled to a small size solid oxide fuel cell (SOFC) stack. The power of the whole system is 36 kW depending on the design parameters assumed for the stack. The design and off-design performance of the hybrid system have been obtained through the use of an appropriate modular code named “HS-SOFC” developed at the University of Genoa and described in detail in this paper. The results of the simulation are presented and discussed with particular regards to: choice of the hybrid system (HS) design point data, HS design point performance, off-design performance of PT and SOFC stack, and off-design performance of the whole HS. Some preliminary economic results are also included based on different fuel and capital cost scenarios and using the cost of electricity as the parameter for comparison between PT and HS.

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Gilev, Bogdan, Gergana Vacheva, Plamen Stanchev, and Nikolay Hinov. "Design Consideration of Charging Station with Hybrid Energy Sources." International Journal of Circuits, Systems and Signal Processing 16 (June 23, 2022): 1035–44. http://dx.doi.org/10.46300/9106.2022.16.126.

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In current research a hybrid autonomous supplying system for electric vehicles applications is presented. The hybrid system is consisted of fuel cell, micro gas turbine and supercapacitor. There are realized with averaged models in MATLAB/Simulink environment. The supplying elements are connected to a DC bus for charging a different type of EVs. In this case as a load is use two EVs: BMW-i3 and Nissan Leaf. This system can operate autonomously in hard-to-reach places where there is no supplying from the distributed grid and other sources. These places could be remote holiday villages, research centers positioned at hard-to-reach places and also for production of agricultural crops with the aids of electric vehicles. This requires the necessity for searching of different structural and conceptual solutions for production and storage of electric energy. An optimization problem is resolved in order to reduce the value of the capacitance of the supercapacitor with which it will decrease his price. Thus, it also decreases the price for construction of the entire charging station. Recently, the usage of natural gas and his transportation is well organized which can contribute for assuring of the reserved energy for the autonomous charging station.

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Faiyaz, Sadman Al, Habib Tahmid Hossain, Abir Hossain Mridul, Mohammad Ali Hossain, and Kazi Jubaer Ahmed. "Load analysis of an off-grid hybrid power system using micro-hydro and diesel power technology in the remote areas of Bangladesh." Future Energy 2, no. 4 (November 15, 2023): 31–37. http://dx.doi.org/10.55670/fpll.fuen.2.4.4.

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Hybrid power technology plays an important role in the field of energy systems. This technology can be used with or without a grid by merging renewable and non-renewable sources. This study analyses electricity generation through an off-grid hybrid technology, which is composed of micro-hydro power and diesel generator power in a remote area of Bangladesh. In this investigation, some of the crucial cases will be examined, which are the optimum turbine placement with the aid of fluid flow simulation using the flow parameters, electric power production in a single power unit and hybrid power system unit, and cost analysis of the hybrid power system unit in order to inspect the feasibility of the system.

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SAKAMOTO, Momoko, Yosuke NAKADA, Yoichi TAKEDA, and Akio OHJI. "G0801-1-2 Cycle Analysis of the Distributed Energy Supply System of Micro Gas Turbine and Fuel Cell Hybrid Power System." Proceedings of the JSME annual meeting 2009.3 (2009): 143–44. http://dx.doi.org/10.1299/jsmemecjo.2009.3.0_143.

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Ani, Vincent Anayochukwu. "Optimal Operational Strategy for PV/Wind-Diesel Hybrid Power Generation System with Energy Storage." International Journal of Energy Optimization and Engineering 3, no. 1 (January 2014): 101–20. http://dx.doi.org/10.4018/ijeoe.2014010107.

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Telecommunications industry requires efficient, reliable and cost-effective hybrid power system as alternative to the power supplied by diesel generator. This paper proposed an operational control algorithm that will be used to control and supervise the operations of PV/Wind-Diesel hybrid power generation system for GSM base station sites. The control algorithm was developed in such a way that it coordinates when power should be generated by renewable energy (PV panels and Wind turbine) and when it should be generated by diesel generator and is intended to maximize the use of renewable system while limiting the use of diesel generator. Diesel generator is allocated only when the demand cannot be met by the renewable energy sources including battery bank. The developed algorithm was used to study the operations of the hybrid PV/Wind-Diesel energy system. The control simulation shows that the developed algorithm reduces the operational hours of the diesel generator thereby reducing the running cost of the hybrid energy system as well as the pollutant emissions. With the data collected from the site, a detailed economic and environmental analysis was carried out using micro power optimization software homer. The study evaluates savings associated with conversion of the diesel powered system to a PV/Wind-Diesel hybrid power system.

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Zenned, Sameh, Emna Aridhi, and Abdelkader Mami. "Modeling and Control of Micro-grid Powered by Solar and Wind Energies." International Journal of Power Electronics and Drive Systems (IJPEDS) 8, no. 1 (March 1, 2017): 402. http://dx.doi.org/10.11591/ijpeds.v8.i1.pp402-416.

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The number of installations of Micro-Grid or intelligent micro power networks will increase to quadruple by 2020.The purpose is to reduce the cost and the consumption of electricity in transmission and distribution networks, using a hybrid system powered by solar and wind sources, as well as integrating storage devices. This paper reviews and discusses the Micro-Grid Model. It describes various Micro-Grid components and different configurations. It also presents the model of two generation units (Photovoltaic and Wind Turbine). Then, a comparative study of different battery types used for large-scale electricity storage is carried out, followed by a review of control strategies.

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Mishra, Sonalika, Suchismita Patel, Ramesh Chandra Prusty, and Sidhartha Panda. "MVO optimized hybrid FOFPID-LQG controller for load frequency control of an AC micro-grid system." World Journal of Engineering 17, no. 5 (July 15, 2020): 675–86. http://dx.doi.org/10.1108/wje-05-2019-0142.

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Purpose This paper aims to implement a maiden methodology for load frequency control of an AC multi micro-grid (MG) by using hybrid fractional order fuzzy PID (FOFPID) controller and linear quadratic Gaussian (LQG). Design/methodology/approach The multi MG system considered is consisting of photovoltaic, wind turbine and a synchronous generator. Different energy storage devices i.e. battery energy storage system and flywheel energy storage system are also integrated to the system. The renewable energy sources suffer from uncertainty and fluctuation from their nominal values, which results in fluctuation of system frequency. Inspired by this difficulty in MG control, this research paper proposes a hybridized FOFPID and LQG controller under random and stochastic environments. Again to confer viability of proposed controller its performances are compared with PID, fuzzy PID and fuzzy PID-LQG controllers. A comparative study among all implemented techniques i.e. proposed multi-verse optimization (MVO) algorithm, particle swarm optimization and genetic algorithm has been done to justify the supremacy of MVO algorithm. To check the robustness of the controller sensitivity analysis is done. Findings The merged concept of fractional calculus and state feedback theory is found to be efficient. The designed controller is found to be capable of rejecting the effect of disturbances present in the system. Originality/value From the study, the authors observed that the proposed hybrid FOPID and LQG controller is robust hence, there is no need to reset the controller parameters with a large change in network parameters.

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Elgammal, Adel, and Tagore Ramlal. "Optimal Voltage Compensation of Small Hydropower Grid Linked Structure Centered on PV-STATCOM Smart Inverter." European Journal of Electrical Engineering and Computer Science 5, no. 5 (September 21, 2021): 24–31. http://dx.doi.org/10.24018/ejece.2021.5.5.359.

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Alternative renewable energy structures for example hydro turbine generators can be utilised to replace or rise in the efficiency of energy distribution infrastructure in remote communities. A small hydro turbine linked to grid divides the load into current and electricity. The voltage amplitude in the energy distribution structure will be changed as a result of the power quality problem, and this will have a direct influence on the electric load. This study introduces the PV-STATCOM, a novel smart inverter that can be used to control a solar inverter as dynamic reactive power compensator (DRPC). The recommended photovoltaic STATCOM can be utilised to offer voltage regulate for serious structure demands. For the night, the whole inverter capacity is utilised for STATCOM operations. The smart inverter temporarily disables its real power generating function during a large system outage throughout the day and makes its whole inverter capacity accessible for STATCOM operation. This research examines the stability of the voltage control structure`s excitation in the Micro Hydro Power Plant. The MOPSO algorithm may be used to regulate the Permanent Magnet Synchronous Machine and control the voltage on the direct current linked part of system. The system will most probably be unstable if the exact definition of system parameters is uncertain. To present the parameter specifications for the stable structure, the DC-link control system is modelled, theoretically assessed, and simulated. This paper proposes the use of a particle swarm optimization centred SVC controller for reactive power optimization and adjustment in a separated hybrid system with micro hydro and wind diesel. The small linear signal model of the hybrid micro hydro Diesel wind model is investigated under various loading scenarios. The SVC controller is compared to the GA-based controller and optimised using the PSO approach. The purpose of study is to employ STATCOM for reactive power compensation in order to increase energy structure's dependable operating limit. It also tries to reduce voltage variations caused by renewable energy sources' variable nature. To obtain an acceptable outcome, the proper modification of Proportional–Integral parameters in STATCOM is conducted consequentially centred on BFA and GA. The STATCOM control circuit's PI controller's settings have been optimised. This article discusses the optimization and adjustment strategies for PID controllers in a STATCOM based circuit for PV-Micro hydro hybrid system voltage stability.

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Figaj, Rafał, Maciej Żołądek, Maksymilian Homa, and Anna Pałac. "A Novel Hybrid Polygeneration System Based on Biomass, Wind and Solar Energy for Micro-Scale Isolated Communities." Energies 15, no. 17 (August 30, 2022): 6331. http://dx.doi.org/10.3390/en15176331.

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The availability of freshwater and energy is a serious issue in remote and islanded areas, especially at a small scale, where there may not be the possibility to access the grid and/or water distribution systems. In this context, polygeneration systems operating on the basis of local, renewable energy sources can be an answer to the users’ demand for electricity, heating, cooling, and domestic hot water. The scope of the proposed paper was to investigate, numerically, the energy and economic feasibility of a novel hybrid polygeneration system powered by biomass, solar, and wind energy for a micro-district of households. The proposed system consists of a biomass-fueled steam cycle, wind turbine, photovoltaic field coupled with thermal and electrical energy storage, adsorption chiller, and a reverse osmosis water desalination unit. The system is also assisted by an LPG generator set running as backup. The system provides space heating and cooling, electrical energy, and fresh and domestic hot water to 10 households located on Pantelleria Island, Italy. The proposed system is modelled and simulated through TRNSYS software with realistic user demand. The energy and economic performance of the proposed system are assessed with respect to a reference system in different scenarios, taking into account islanded operation, connection to the grid, and biomass tariffs. The results show that the proposed system achieves an excellent primary energy saving performance in all the investigated scenarios, with savings of more than 94% for all the investigated scenarios. Excluding any kind of funding, in case of new investment for the system, the simple payback oscillates between 7 and 12 years, showing that the developed alternative is fairly valid with respect to traditional solutions.

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Sutikno, Tole, Syahid Hikmatul Wahid, Rizky Ajie Aprilianto, Arsyad Cahya Subrata, and Auzani Jidin. "An Automatic Wind Turbine Braking System on PLTH Bayu Baru through a Fuzzy Logic Controller." JURNAL NASIONAL TEKNIK ELEKTRO 11, no. 1 (March 29, 2022): 1–7. http://dx.doi.org/10.25077/jnte.v11n1.887.2022.

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PLTH Bayu Baru is one of the hybrid power plants (HPP) located in Baru beach, Pandansimo, Bantul, Yogyakarta, Indonesia. It generates electrical energy from two sources, wind and solar energy. However, a problem is encountered regarding wind turbine mechanics due to using a manual switch for braking during periods of excessive wind speed. This study proposes an automatic wind turbine braking system through a utilized fuzzy logic controller (FLC) for the PLTH Bayu Baru application. The Mamdani type FLC without complex mathematical models is applied to the Arduino Uno development board to realize the proposed systems. The error (Error_V) and delta error (dError_V) values from the generator voltage sensor become the input of the proposed systems, while the pulse width modulation (PWM) becomes the output for controlling the on/off period of the MOSFET as switching devices. The proposed systems have been tested on a micro-scale wind turbine with PMSG 12V/400W type. From the testing results, the proposed system successfully braked automatically at the point wherein the generator voltage exceeds the setpoint value. Also, the proposed system keeps the generator voltage less than 13.8V, so the problem caused by excessive speed can be resolved.

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Figaj, Rafał, Maciej Żołądek, and Wojciech Goryl. "Dynamic Simulation and Energy Economic Analysis of a Household Hybrid Ground-Solar-Wind System Using TRNSYS Software." Energies 13, no. 14 (July 8, 2020): 3523. http://dx.doi.org/10.3390/en13143523.

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The adoption of micro-scale renewable energy systems in the residential sector has started to be increasingly diffused in recent years. Among the possible systems, ground heat exchangers coupled with reversible heat pumps are an interesting solution for providing space heating and cooling to households. In this context, a possible hybridization of this technology with other renewable sources may lead to significant benefits in terms of energy performance and reduction of the dependency on conventional energy sources. However, the investigation of hybrid systems is not frequently addressed in the literature. The present paper presents a technical, energy, and economic analysis of a hybrid ground-solar-wind system, proving space heating/cooling, domestic hot water, and electrical energy for a household. The system includes vertical ground heat exchangers, a water–water reversible heat pump, photovoltaic/thermal collectors, and a wind turbine. The system with the building is modeled and dynamically simulated in the Transient System Simulation (TRNSYS) software. Daily dynamic operation of the system and the monthly and yearly results are analyzed. In addition, a parametric analysis is performed varying the solar field area and wind turbine power. The yearly results point out that the hybrid system, compared to a conventional system with natural gas boiler and electrical chiller, allows one to reduce the consumption of primary energy of 66.6%, and the production of electrical energy matches 68.6% of the user demand on a yearly basis. On the other hand, the economic results show that that system is not competitive with the conventional solution, because the simple pay back period is 21.6 years, due to the cost of the system components.

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Babatunde, O. M., J. L. Munda, and Y. Hamam. "Off-grid hybrid photovoltaic – micro wind turbine renewable energy system with hydrogen and battery storage: Effects of sun tracking technologies." Energy Conversion and Management 255 (March 2022): 115335. http://dx.doi.org/10.1016/j.enconman.2022.115335.

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Eluri, Himabindu, and M. Gopichand Naik. "Energy Management System and Enhancement of Power Quality with Grid Integrated Micro-Grid using Fuzzy Logic Controller." International Journal of Electrical and Electronics Research 10, no. 2 (June 30, 2022): 256–63. http://dx.doi.org/10.37391/ijeer.100234.

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A modern hybrid model is introduced, which is a combination of PV, Wind turbine, converter components to improve Microgrid (MG) operation, to improve system dependability, effective efficiency, which are fundamental qualities. In view of renewable energy Maximum Power Point Tracking (MPPT) is frequently applied to improve PV efficiency in which randomness, flexibility of solar energy because of changes in temperature. To achieve MPPT P&O rule, Incremental conductance (IC) methods are implemented in this manuscript. The design, execution of EMS with Fuzzy Logic Controller (FLC) for AC/DC microgrid is implemented. Apart from designing of EMS the power quality of MG is improved. It proposes analysis, control of storage devices. The FLC improves battery life and also will achieve desirable SoC. An FLC based EMS grid integrated MG is adopted, to mitigate power quality issues under nonlinear, unbalanced load conditions. The proposed model is executed by adopting MATLAB/SIMULINK

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Sucipta, Made, Shinji Kimijima, and Kenjiro Suzuki. "Solid Oxide Fuel Cell–Micro Gas Turbine Hybrid System Using Natural Gas Mixed with Biomass Gasified Fuel." Journal of The Electrochemical Society 155, no. 3 (2008): B258. http://dx.doi.org/10.1149/1.2825175.

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Alattar, Alhassan H., S. I. Selem, Hamid M. B. Metwally, Ahmed Ibrahim, Raef Aboelsaud, Mohamed A. Tolba, and Ali M. El-Rifaie. "Performance Enhancement of Micro Grid System with SMES Storage System Based on Mine Blast Optimization Algorithm." Energies 12, no. 16 (August 13, 2019): 3110. http://dx.doi.org/10.3390/en12163110.

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Frequency control represents a critically significant issue for the enhancement of the dynamic performance of isolated micro grids. The micro grid system studied here was a wind–diesel system. A new and robust optimization technique called the mine blast algorithm (MBA) was designed for tuning the PID (proportional–integral–differential) gains of the blade pitch controller of the wind turbine side and the gains of the superconducting magnetic energy storage (SMES) controller. SMES was implemented to release and absorb active power quickly in order to achieve a balance between generation and load power, and thereby control system frequency. The minimization of frequency and output wind power deviations were considered as objective functions for the PID controller of the wind turbine, and the diesel frequency and power deviations were used as objective functions for optimizing the SMES controller gains. Different case studies were considered by applying disturbances in input wind, load power, and wind gust, and sensitivity analysis was conducted by applying harsh conditions with varying fluid coupling parameter of the wind–diesel hybrid system. The proposed MBA–SMES was compared with MBA (tuned PID pitch controller) and classical PI control systems in the Matlab environment. Simulation results showed that the MBA–SMES scheme damped the oscillations in the system output responses and improved the system performance by reducing the overshoot by 75% and 36% from classical and MBA-based systems, respectively, reduced the settling time by 45% compared to other systems, and set the final steady-state error of the frequency deviation to zero compared to other systems. The proposed scheme was extremely robust to disturbances and parameter variations.

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Kaneko, T., J. Brouwer, and G. S. Samuelsen. "Power and temperature control of fluctuating biomass gas fueled solid oxide fuel cell and micro gas turbine hybrid system." Journal of Power Sources 160, no. 1 (September 2006): 316–25. http://dx.doi.org/10.1016/j.jpowsour.2006.01.044.

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Kefif, Nesrine, Bachir Melzi, Mehran Hashemian, Mamdouh El Haj Assad, and Siamak Hoseinzadeh. "Feasibility and optimal operation of micro energy hybrid system (hydro/wind) in the rural valley region." International Journal of Low-Carbon Technologies 17 (November 27, 2021): 58–68. http://dx.doi.org/10.1093/ijlct/ctab081.

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Abstract With the increase in the global and local demand for electrical energy, which is necessary for the functioning of several fields such as the economy and agriculture, this study introduces a micro-hydro–wind hybrid system in order to obtain an economic feasibility of the off-grid isolated and renewable energy system. The main objective of this research is to determine the optimum design size for a hydro–wind hybrid energy system that is supposed to meet the demand for the electric load in front of a valley in Algeria called Yesser with variable water flow and wind speeds in three positions. Batteries are supplied to increase the reliability of the system when the performance of the wind turbine energy and the flow rate of the hydro system are evaluated. This system is proposed to reduce financial costs in addition to the possibility of providing interchangeable energy and operating reserves with short start times. The Homer Pro software is used to model the hybrid renewable energy system and to perform the required analysis of the economic side of the system in terms of the valley's flow rate and the wind speed. The average speed of the water flow in Yesser valley is varied between 10 and 24.6 m3/s, and three cases of the valley's flow rate were studied with the maximum and minimum wind speeds: the passage (the transit) with 10 m3/s, the downstream (the estuary) with 19 m3/s and the valley's upstream (the source) with 24.6 m3/s. From the results, it appears that the hydro power was not enough to meet the load demand in the first area (the transit); however, the hydro/wind hybrid system was capable to feed the required load. For the second area (the estuary) the wind power was needed just in summer season, and for the third area (the source) the hydro generator was sufficient to feed the load all the year as the hydro power generated exceeds the load demand. The Homer Pro software calculations prove that the financial cost of the system is inversely proportional with the wind speed, such that the higher the wind speed the lower the cost of the system, the same relationship is for the flow rate speed as we consider the third case the most cost-effective with 61 330.46 USD.

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Xia, Tian, Mostafa Rezaei, Udaya Dampage, Sulaiman Ali Alharbi, Omaima Nasif, Piotr F. Borowski, and Mohamed A. Mohamed. "Techno-Economic Assessment of a Grid-Independent Hybrid Power Plant for Co-Supplying a Remote Micro-Community with Electricity and Hydrogen." Processes 9, no. 8 (August 6, 2021): 1375. http://dx.doi.org/10.3390/pr9081375.

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This study investigates the techno-economic feasibility of an off-grid integrated solar/wind/hydrokinetic plant to co-generate electricity and hydrogen for a remote micro-community. In addition to the techno-economic viability assessment of the proposed system via HOMER (hybrid optimization of multiple energy resources), a sensitivity analysis is conducted to ascertain the impact of ±10% fluctuations in wind speed, solar radiation, temperature, and water velocity on annual electric production, unmet electricity load, LCOE (levelized cost of electricity), and NPC (net present cost). For this, a far-off village with 15 households is selected as the case study. The results reveal that the NPC, LCOE, and LCOH (levelized cost of hydrogen) of the system are equal to $333,074, 0.1155 $/kWh, and 4.59 $/kg, respectively. Technical analysis indicates that the PV system with the rated capacity of 40 kW accounts for 43.7% of total electricity generation. This portion for the wind turbine and the hydrokinetic turbine with nominal capacities of 10 kW and 20 kW equates to 23.6% and 32.6%, respectively. Finally, the results of sensitivity assessment show that among the four variables only a +10% fluctuation in water velocity causes a 20% decline in NPC and LCOE.

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Wu, Xiao-Juan, Qi Huang, and Xin-Jian Zhu. "Thermal modeling of a solid oxide fuel cell and micro gas turbine hybrid power system based on modified LS-SVM." International Journal of Hydrogen Energy 36, no. 1 (January 2011): 885–92. http://dx.doi.org/10.1016/j.ijhydene.2010.08.022.

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Yang, Chen, Kangjie Deng, Hangxing He, Haochuang Wu, Kai Yao, and Yuanzhe Fan. "Real-Time Interface Model Investigation for MCFC-MGT HILS Hybrid Power System." Energies 12, no. 11 (June 8, 2019): 2192. http://dx.doi.org/10.3390/en12112192.

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The research on the control strategy and dynamic characteristics of the Molten Carbonate Fuel Cell-Micro Gas Turbine (MCFC-MGT) hybrid power system has received much attention. The use of the Hardware-In-the-Loop Simulation (HILS) method to study the MCFC-MGT hybrid power system, where the MCFC is the model subsystem and the MGT is the physical subsystem, is an effective means to save development cost and time. The difficulty with developing the MCFC-MGT HILS system is the transfer of the mass, energy, and momentum between the physical subsystem and the model subsystem. Hence, a new Simulation–Stimulation (Sim–Stim) interface model of the MCFC-MGT HILS hybrid power system to achieve a consistent mass, energy, and momentum with the prototype system of the MCFC-MGT hybrid power system is proposed. In order to validate the Sim–Stim interface model before application in an actual system, both a real-time model of the MCFC-MGT hybrid power system and the MCFC-MGT HILS hybrid power system based on the Sim–Stim interface model were developed in the Advanced PROcess Simulation (APROS) platform. The step-up and step-down of the current density, which were strict for the Sim–Stim interface model, were studied in these two models. The results demonstrated that the Sim–Stim interface model developed for the MCFC-MGT HILS hybrid power system is rapid and reasonable.

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SAKAMOTO, Momoko, Yoichi TAKEDA, and Akio OHJI. "125 Evaluation of Total Energy Efficiency and System Optimization of Solid Oxide Fuel Cell and Micro Gas Turbine Hybrid Power System by Various Fuel." Proceedings of Conference of Tohoku Branch 2010.45 (2010): 52–53. http://dx.doi.org/10.1299/jsmeth.2010.45.52.

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Gbadega, Peter Anuoluwapo, and Olufunke Abolaji Balogun. "Modeling and Control of Grid-Connected Solar-Wind Hybrid Micro-Grid System with Multiple-Input Ćuk DC-DC Converter for Household & High Power Applications." International Journal of Engineering Research in Africa 58 (January 11, 2022): 191–224. http://dx.doi.org/10.4028/www.scientific.net/jera.58.191.

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There is a continuous global need for more energy, which must be cleaner than energy produced from the conventional generation technologies. As such, this need has necessitated the increasing penetration of distributed generation technologies and primarily on renewable energy sources. This paper presents a dynamic modeling and control strategy for a sustainable micro-grid, principally powered by multiple renewable energy sources (solar energy, wind energy and Fuel cell), micro sources (such as diesel generator, micro-gas turbine etc.) and energy storage scheme. More importantly, a current-source-interface, multiple-input dc-dc converter is utilized to coordinate the sustainable power sources to the main dc bus. Thus, for tracking maximum power available in solar energy, maximum power point tracking algorithm is applied. The proposed system is designed to meet load demand, manage power flow from various sources, inject excess power into the grid, and charge the battery from the grid as needed. More so, the proposed converter architecture has reduced number of power conversion stages with less component count, and reduced losses compared to existing grid-connected hybrid systems. This improves the efficiency and reliability of the system. The utilization of energy storage is essential owing to the intermittent nature of the renewable energy sources and the consequent peak power shift between the sources and the load. Following this further, a supervisory control system is designed to handle various changes in power supply and power demand by managing power intermittency, power peak shaving, and long-term energy storage. The entire hybrid system is described given along with comprehensive simulation results that reveal the feasibility of the whole scheme. The system model is designed and simulated in MATLAB SimPowerSystem in order to verify the effectiveness of the proposed scheme.

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Loreti, Gabriele, Andrea Luigi Facci, and Stefano Ubertini. "High-Efficiency Combined Heat and Power through a High-Temperature Polymer Electrolyte Membrane Fuel Cell and Gas Turbine Hybrid System." Sustainability 13, no. 22 (November 12, 2021): 12515. http://dx.doi.org/10.3390/su132212515.

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High-temperature proton-exchange membrane fuel cells are a promising technology for distributed power generation thanks to their high-power density, high efficiency, low emissions, fast start-up, and excellent dynamic characteristics, together with their high tolerance to CO poisoning (i.e., CO in the feed up to 3%). In this paper, we present an innovative, simple, and efficient hybrid high-temperature proton-exchange membrane fuel cell gas turbine combined heat and power system whose fuel processor relies on partial oxidation. Moreover, we demonstrate that the state-of-the-art fuel processors based on steam reformation may not be the optimal choice for high-temperature proton-exchange membrane fuel cells’ power plants. Through steady-state modeling, we determine the optimal operating conditions and the performance of the proposed innovative power plant. The results show that the proposed hybrid combined heat and power system achieves an electrical efficiency close to 50% and total efficiency of over 85%, while a state-of-the-art system based on steam reformation has an electrical efficiency lower than 45%. The proposed innovative plant consists of a regenerative scheme with a limited power ratio between the turbine and fuel cell and limited optimal compression ratio. Therefore, micro-gas turbines are the most fitting type of turbomachinery for the hybrid system.

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Jain, Shubhanshee, and Eknath Borkar. "Operational Cost Minimization of Grid Connected Microgrid System Using Fire Fly Technique." Journal of Informatics Electrical and Electronics Engineering (JIEEE) 1, no. 2 (November 18, 2020): 1–26. http://dx.doi.org/10.54060/jieee/001.02.001.

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Present time, green energy sources interfacing to the utility grid by utilizing microgrid system is very vital to satisfy the ever increasing energy demand. Optimal operation of the microgrid system improved the generation from the distributed renewable energy sources at the lowest operational cost. Large amount of constraints and variables are associated with the microgrid economic operation problem. Thus, this problem is very complex and required efficient technique for handing the problem adequately. There-fore, this research utilized the efficient fire fly optimization technique for solving the formulated microgrid operation control problem. Fire fly algorithm is based on the behavior and nature of the fire flies. A microgrid system modelling which incorporated various distributed energy sources such as solar photo voltaic, wind turbine, micro turbine, fuel cell, diesel generator, electric vehicle technology, battery energy storage system and demands. Energy storage system is utilized in this research for supporting renewable energy sources’ integration in more reliable and qualitative way. Further, the electric vehicle technology i.e. battery electric vehicle, plug-in hybrid electric vehicle and fuel cell electric vehicle are utilized to support the microgrid and utility grid systems with respect to variable demands. Optimal operational cost minimization problem of the developed microgrid system is solved by fire fly algorithm and compared with the grey wolf optimization and particle swarm optimization techniques. By comparative analysis it is clear that the fire fly algorithm provides the minimum operational cost of microgrid system as compared to the GWO and PSO. MATLAB software is utilized to model the microgrid system and implementation of the optimization techniques.

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Mohammed, Nuhu, Ademola Bello Adisa, Mohammed Ahmed Bawa, and Habou Dandakuta. "Design of Wind/Diesel Generator Micro-Grid Power System in Kano, Nigeria, Using Homer." International Journal of Engineering & Technology 7, no. 3.36 (May 6, 2018): 16. http://dx.doi.org/10.14419/ijet.v7i3.36.29072.

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A micro-grid system has been designed using wind/diesel generators power sources. The system is aimed to cater for the electricity demand of Kwankwasiyya city Kano, Nigeria. The city has about 400 housing units with average daily electricity demand of 10000 kWhr. The project employed the use of homer, a software that performs Hybrid Optimization Model for Electric Renewables. The most appropriate system architecture was chosen from the optimisation result based on the selection factors set (initial investment cost, total electrical production to site primary demand ratio and so on). A system comprising single wind turbine (800 kW), and two generators of 400 kW and 300kW has been selected based on the selection criteria. The electrical output shows that 82% of the total production will be consumed onsite with the remaining would be sold to the grid. The system has a cost of energy value of 0.279 kWh with net present cost of about $11,000,000. The system is economically viable considering the need of reliable power in the region even though, the price of the electricity is higher than what is obtainable from the grid.

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Sanaye, Sepehr, and Arash Katebi. "4E analysis and multi objective optimization of a micro gas turbine and solid oxide fuel cell hybrid combined heat and power system." Journal of Power Sources 247 (February 2014): 294–306. http://dx.doi.org/10.1016/j.jpowsour.2013.08.065.

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Song, Tae Won, Jeong Lak Sohn, Jae Hwan Kim, Tong Seop Kim, Sung Tack Ro, and Kenjiro Suzuki. "Performance analysis of a tubular solid oxide fuel cell/micro gas turbine hybrid power system based on a quasi-two dimensional model." Journal of Power Sources 142, no. 1-2 (March 2005): 30–42. http://dx.doi.org/10.1016/j.jpowsour.2004.10.011.

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Journal articles on the topic 'Micro turbine eoliche Hybrid energy system'

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