Thematische Bibliographien / Micro distributed generation system

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Auswahl der wissenschaftlichen Literatur zum Thema „Micro distributed generation system“

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Veröffentlicht am 25. März 2025

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Zeitschriftenartikel zum Thema "Micro distributed generation system"

Qiu, Lu, und Yan Song Li. „Micro-Grid System Integrated with GSHP“. Advanced Materials Research 1092-1093 (März 2015): 288–91. http://dx.doi.org/10.4028/www.scientific.net/amr.1092-1093.288.

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In the past few decades, power system has developed into a large-scale network system of centralized electricity generation and long-distance transmission. But in recent years, electrical load has increasing, while the grid has not developed simultaneously, it makes transmission capacity of long-distance transmission lines increase, so as the decline of stability and security of power grid. In order to achieve the goal of not only increasing utilization of renewable energy, but also solving the drawbacks of large-scale power systems, implementing distributed power generation is an effective way. Despite the advantages of distributed generation, there are many problems in itself, for example, the high cost of distributed generation stand-alone access and control difficulties. In addition, distributed generation is a non-controllable source for large grid. Then in the beginning of this century, scholars have proposed the concept of micro-grid.

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Kostenko, Ganna, und Artur Zaporozhets. „Enhancing of the power system resilience through the application of micro power systems (microgrid) with renewable distributed generation“. System Research in Energy 2023, Nr. 3 (25.08.2023): 25–38. http://dx.doi.org/10.15407/srenergy2023.03.025.

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The power sector plays a critical role in the functioning of the economy and the security of a country, being closely interconnected with other vital infrastructures, such as gas supply, water supply, transportation, and telecommunications. Ensuring a stable power supply is crucial for the uninterrupted operation of these systems. One way to enhance the resilience of the power system is by integrating local networks with distributed renewable generation into the overall energy infrastructure. The flexibility, stability, controllability, and self-healing capabilities of microgrids make them an effective solution for improving the resilience of the power system. The power grid is susceptible to disturbances and disruptions that can cause large-scale power outages for consumers. Statistical data indicates that approximately 90% of outages occur due to issues in the distribution system, thus research focuses on local microgrids with distributed renewable generation. This study analyzed the role of microgrids with renewable generation in enhancing the resilience of power systems. Additionally, functions of microgrids that contribute to enhancing power system resilience, such as service restoration, network formation strategies, control and stability, as well as preventive measures, were summarized. It was found that local microgrids have significant potential to enhance power system resilience through the implementation of various strategies, from emergency response planning to providing reliable energy supply for quick responses to military, environmental, and human-induced crises. The concept of local distributed energy generation, storage, and control can reduce reliance on long-distance power transmission lines, reduce network vulnerabilities, and simultaneously improve its resilience and reduce recovery time. It has been determined that the most necessary and promising approaches to enhance the resilience of the power system include developing appropriate regulatory frameworks, implementing automatic frequency and power control systems, ensuring resource adequacy (including the reservation of technical components), promoting distributed generation, integrating energy storage systems into the energy grid, and strengthening cyber security. Keywords: resilience, local power systems, MicroGrid, distributed generation, renewable energy sources.

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Zhang, Ji Hong, Zhen Kui Wu, Hua Li und Han Shan Li. „Control Strategy of Wind Photovoltaic and Energy Storage System Stability Running“. Applied Mechanics and Materials 336-338 (Juli 2013): 547–50. http://dx.doi.org/10.4028/www.scientific.net/amm.336-338.547.

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Micro grid may exert adequately distributed generation efficiency, and that wind Photovoltaic and Energy Storage is a key equipment in the micro grid. Aiming at the distributed generation existing intermittence and randomicity characteristic, the paper discussed the micro grid P/Q control method under the connection grid state and the micro grid U/F control method under the disconnection grid state. It also studied the distributed generation parameters variational law under the micro grid different run mode, and built the correlative mathematics model and tested by simulation. The results show: the control strategy ensured the mice grid running stably, and achieved the system anticipative design request, and offered theory foundation for the distributed generation extend application.

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Zhao, Yao, Ru Qi Cheng, Geng Shen Zhao und Zhi Hua Zha. „Power Optimal Utilization of DС Bus Micro-Grid System“. Advanced Materials Research 430-432 (Januar 2012): 820–23. http://dx.doi.org/10.4028/www.scientific.net/amr.430-432.820.

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Multiple distributed generations construct the micro-grid system through the DC bus, each distributed generation has its own maximum power point, research on the method to improve the overall utilization of the DC bus. Discussed the micro-grid including solar photovoltaic and wind power generations, built the mathematical model of the two generations, used simulation methods to get the power output curve, proposed the improved MPPT method for the DC bus to obtain maximum power. Through micro-grid experimental platform, verify the method is effective to improve the energy utilization efficiency of the DC bus.

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Nikkhajoei, H., und M. R. Iravani. „A Matrix Converter Based Micro-Turbine Distributed Generation System“. IEEE Transactions on Power Delivery 20, Nr. 3 (Juli 2005): 2182–92. http://dx.doi.org/10.1109/tpwrd.2004.838517.

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Sang, Ying Jun, und Yuan Yuan Fan. „Micro Grid Technology Research Based on the Distributed Generation“. Advanced Materials Research 804 (September 2013): 383–86. http://dx.doi.org/10.4028/www.scientific.net/amr.804.383.

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The paper presents the concept and structure of micro grid technology based on distributed generation, and especially introduces the key technology of micro network which includes five parts: micro-grid planning and design, micro-grid communication technology, micro-grid power electronic technology, micro-grid control and energy management system. At last problems need to be solved in the future have been put forward and discussed in this paper.

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Hur, Kwang Beom, Sang Kyu Rhim, Jung Keuk Park und Jae Hoon Kim. „System Development of Micro Gas Turbine Co-Generation“. Key Engineering Materials 345-346 (August 2007): 1003–6. http://dx.doi.org/10.4028/www.scientific.net/kem.345-346.1003.

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The new market penetration using the distributed generation technology is linked to a large number of factors like economics and performance, safety and reliability, market regulations, environmental issues, or grid connection standards. KEPCO, a government company in Korea, has performed the project to identify and evaluate the performance of Micro Gas Turbine (MGT) technologies focused on 30, 60kW-class grid-connected optimization and combined Heat & Power performance. This paper describes the results for the mechanical, electrical, and environmental tests of MGT on actual grid-connection under Korean regulations. As one of the achievements, the simulation model of Exhaust-gas Absorption Chiller was developed, so that it will be able to analyze or propose new distributed generation system using MGT.

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KURATA, Osamu, Katsuhiko KADOGUCHI, Norihiko IKI, Takayuki MATSUNUMA, Hiro YOSHIDA, Tetsuhiko MAEDA und Hiromi TAKEUCHI. „E106 MICRO GAS TURBINE CO-GENERATION SYSTEM AT SAPPORO CITY UNIVERSITY UNDER SERVICE CONDITIONS(Distributed Energy System-1)“. Proceedings of the International Conference on Power Engineering (ICOPE) 2009.1 (2009): _1–263_—_1–268_. http://dx.doi.org/10.1299/jsmeicope.2009.1._1-263_.

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Wei, Ming Yue. „Impact of Distributed Generation on Power System“. Applied Mechanics and Materials 543-547 (März 2014): 681–84. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.681.

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For the study of distributed generation and its impact on power system, this paper briefly introduces the basic concept, the advantages of distributed generation, and the concept and basic structure of micro-grid. From the power system planning, system voltage, power quality, island effect, relay protection and other aspects, this paper analysis and discusses the influence of distributed power on power system. To properly resolve the grid-connected distributed generation power influence, it will be helpful for the development of future of distributed power generation. Distributed power generation can be used not only as an important supplement of the traditional centralized power supply mode, but also as a very important role in energy utilization, it will become an important area of research and development in future energy.

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Chen, Wei Min, und Cai Hui. „Design on a Micro-Grid System without Inverse-Power-Flow Based on Distributed Generation“. Applied Mechanics and Materials 321-324 (Juni 2013): 1342–46. http://dx.doi.org/10.4028/www.scientific.net/amm.321-324.1342.

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Recent years, traditional radiate passive power distribution will become an active power with many medium or small power sources and loads, when distributed generation by new energy (such as wind power or photovoltaic power) are connected to power grid more and more. This change of power distribution brings large harm to security of power grid. This paper proposed a micro-grid system without inverse-power-flow based on distributed generation, which center controller and load controller are deployed, and distribution powers, loads and load controllers are partitioned into different domains connected to micro-grid by controllable switch. The function of main units of micro-grid is discussed; as well as the operation strategy of micro grid based on distributed generation is studied. Finally, the experiment results show the feasibility of the proposed micro-grid system.

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Dissertationen zum Thema "Micro distributed generation system"

Eliasstam, Hannes. „Design, Management and Optimization of a Distributed Energy Storage System with the presence of micro generation in a smart house“. Thesis, Linköpings universitet, Institutionen för systemteknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-86818.

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The owners of a house in today’s society do not know in real-time how much electricity they use. It could be beneficial for any residential consumer to have more control and overview in real-time over the electricity consumption. This could be done possible with a system that monitors the consumptions, micro renewables and the electricity prices from the grid and then makes a decision to either use or sell electricity to reduce the monthly electricity cost for the household and living a "Greener" life to reduce carbon emissions. In this thesis, estimations are made based on artificial neural network (ANN). The predictions are made for air temperature, solar insolation and wind speed in order to know how much energy will be produced in the next 24 hours from the solar panel and from the wind turbine. The predictions are made for electricity consumption in order to know how much energy the house will consume. These predictions are then used as an input to the system. The system has 3 controls, one to control the amount of sell or buy the energy, one to control the amount of energy to charge or discharge the fixed battery and one to control the amount of energy to charge or discharge the electric vehicle (EV). The output from the system will be the decision for the next 10 minutes for each of the 3 controls. To study the reliability of the ANN estimations, the ANN estimations (SANN) are compared with the real data (Sreal ) and other estimation based on the mean values (Smean) of the previous week. The simulation during a day in January gave that the expenses are 0.6285 € if using SANN, 0.7788 € if using Smean and 0.5974 € if using Sreal. Further, 3 different cases are considered to calculate the savings based on the ANN estimations. The first case is to have the system connected with fixed storage device and EV (Scon;batt ). The second and third cases are to have the system disconnected (without fixed battery) using micro generation (Sdiscon;micro) and not using micro generation (Sdiscon) along with the EV. The savings are calculated as a difference between Scon;batt and Sdiscon, also between Sdiscon;micro and Sdiscon. The saving are 788.68 € during a year if Scon;batt is used and 593.90 € during a year if Sdiscon;micro is used. With the calculated savings and the cost for the equipment, the pay-back period is 15.3 years for Scon;batt and 4.5 years for Sdiscon;micro. It is profitable to only use micro generation, but then the owner of the household loses the opportunity to be part of helping the society to become "Greener".

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Navarro, Espinosa Alejandro. „Low carbon technologies in low voltage distribution networks : probabilistic assessment of impacts and solutions“. Thesis, University of Manchester, 2015. https://www.research.manchester.ac.uk/portal/en/theses/low-carbon-technologies-in-low-voltage-distribution-networks-probabilistic-assessment-of-impacts-and-solutions(cc5c77df-54fe-4c1c-a599-3bbea8fbd0c1).html.

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The main outcome of this research is the development of a Probabilistic Impact Assessment methodology to comprehensively understand the effects of low carbon technologies (LCTs) in low voltage (LV) distribution networks and the potential solutions available to increase their adoption. The adoption of LCTs by domestic customers is an alternative to decreasing carbon emissions. Given that these customers are connected to LV distribution networks, these assets are likely to face the first impacts of LCTs. Thus, to quantify these problems a Monte Carlo-based Probabilistic Impact Assessment methodology is proposed in this Thesis. This methodology embeds the uncertainties related to four LCTs (PV, EHPs, µCHP and EVs). Penetration levels as a percentage of houses with a particular LCT, ranging from 0 to 100% in steps of 10%, are investigated. Five minute time-series profiles and three-phase four-wire LV networks are adopted. Performance metrics related to voltage and congestion are computed for each of the 100 simulations per penetration level. Given the probabilistic nature of the approach, results can be used by decision makers to determine the occurrence of problems according to an acceptable probability of technical issues. To implement the proposed methodology, electrical models of real LV networks and high resolution profiles for loads and LCTs are also developed. Due to the historic passive nature of LV circuits, many Distribution Network Operators (DNOs) have no model for them. In most cases, the information is limited to Geographic Information Systems (GIS) typically produced for asset management purposes and sometimes with connectivity issues. Hence, this Thesis develops a methodology to transform GIS data into suitable computer-based models. In addition, thousands of residential load, PV, µCHP, EHP and EV profiles are created. These daily profiles have a resolution of five minutes. To understand the average behaviour of LCTs and their relationship with load profiles, the average peak demand is calculated for different numbers of loads with and without each LCT.The Probabilistic Impact Assessment methodology is applied over 25 UK LV networks (i.e., 128 feeders) for the four LCTs under analysis. Findings show that about half of the studied feeders are capable of having 100% of the houses with a given LCT. A regression analysis is carried out per LCT, to identify the relationships between the first occurrence of problems and key feeder parameters (length, number of customers, etc.). These results can be translated into lookup tables that can help DNOs produce preliminary and quick estimates of the LCT impacts on a particular feeder without performing detailed studies. To increase the adoption of LCTs in the feeders with problems, four solutions are investigated: feeder reinforcement, three-phase connection of LCTs, loop connection of LV feeders and implementation of OLTCs (on-load tap changers) in LV networks. All these solutions are embedded in the Probabilistic Impact Assessment. The technical and economic benefits of each of the solutions are quantified for the 25 networks implemented.

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van, der Walt Rhyno Lambertus Reyneke. „Photovoltaic based distributed generation power system protection“. Diss., University of Pretoria, 2017. http://hdl.handle.net/2263/62807.

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In recent years, the world has seen a significant growth in energy requirements. To meet this requirement and also driven by environmental issues with conventional power plants, engineers and consumers have started a growing trend in the deployment of distributed renewable power plants such as photovoltaic (PV) power plants and wind turbines. The introduction of distributed generation pose some serious issues for power system protection and control engineers. One of the major challenges are power system protection. Conventional distribution power systems take on a radial topology, with current flowing from the substation to the loads, yielded unidirectional power flow. With the addition of distributed generation, power flow and fault current are becoming bi-directional. This causes loss of coordination between conventional overcurrent protection devices. Adding power sources downstream of protection devices might also cause the upstream protection device to be blinded from faults. Conventional overcurrent protection is mainly based on the fault levels at specific points along the network. By adding renewable sources, the fault levels increase and become dynamic, based on weather conditions. In this dissertation, power system faults are modelled with sequence components and simulated with Digsilent PowerFactory power system software. The modeling of several faults under varying power system parameters are combined with different photovoltaic penetration levels to establish a framework under which protection challenges can be better defined and understood. Understanding the effects of distributed generation on three phase power systems are simplified by modeling power systems with sequence networks. The models for asymmetrical faults shows the limited affect which distributed generation has on power system protection. The ability of inverter based distributed generators to provide active control of phase current, irrespective of unbalanced voltage occurring in the network limits their influence during asymmetrical faults. Based on this unique ability of inverter based distributed generators (of which PV energy sources are the main type), solutions are proposed to mitigate or prevent the occurrence of loss of protection under increasing penetration levels of distributed generation. The solutions include using zero and negative sequence overcurrent protection, and adapting the undervoltage disconnection time of distributed generators based on the unique network parameters where it is used. Repeating the simulations after integrating the proposed solutions show improved results and better protection coordination under high penetration levels of PV based distributed generation.
Dissertation (MEng)--University of Pretoria, 2017.
Electrical, Electronic and Computer Engineering
MEng
Unrestricted

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Ibrahim, Sarmad Khaleel. „DISTRIBUTION SYSTEM OPTIMIZATION WITH INTEGRATED DISTRIBUTED GENERATION“. UKnowledge, 2018. https://uknowledge.uky.edu/ece_etds/116.

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In this dissertation, several volt-var optimization methods have been proposed to improve the expected performance of the distribution system using distributed renewable energy sources and conventional volt-var control equipment: photovoltaic inverter reactive power control for chance-constrained distribution system performance optimisation, integrated distribution system optimization using a chance-constrained formulation, integrated control of distribution system equipment and distributed generation inverters, and coordination of PV inverters and voltage regulators considering generation correlation and voltage quality constraints for loss minimization. Distributed generation sources (DGs) have important benefits, including the use of renewable resources, increased customer participation, and decreased losses. However, as the penetration level of DGs increases, the technical challenges of integrating these resources into the power system increase as well. One such challenge is the rapid variation of voltages along distribution feeders in response to DG output fluctuations, and the traditional volt-var control equipment and inverter-based DG can be used to address this challenge. These methods aim to achieve an optimal expected performance with respect to the figure of merit of interest to the distribution system operator while maintaining appropriate system voltage magnitudes and considering the uncertainty of DG power injections. The first method is used to optimize only the reactive power output of DGs to improve system performance (e.g., operating profit) and compensate for variations in active power injection while maintaining appropriate system voltage magnitudes and considering the uncertainty of DG power injections over the interval of interest. The second method proposes an integrated volt-var control based on a control action ahead of time to find the optimal voltage regulation tap settings and inverter reactive control parameters to improve the expected system performance (e.g., operating profit) while keeping the voltages across the system within specified ranges and considering the uncertainty of DG power injections over the interval of interest. In the third method, an integrated control strategy is formulated for the coordinated control of both distribution system equipment and inverter-based DG. This control strategy combines the use of inverter reactive power capability with the operation of voltage regulators to improve the expected value of the desired figure of merit (e.g., system losses) while maintaining appropriate system voltage magnitudes. The fourth method proposes a coordinated control strategy of voltage and reactive power control equipment to improve the expected system performance (e.g., system losses and voltage profiles) while considering the spatial correlation among the DGs and keeping voltage magnitudes within permissible limits, by formulating chance constraints on the voltage magnitude and considering the uncertainty of PV power injections over the interval of interest. The proposed methods require infrequent communication with the distribution system operator and base their decisions on short-term forecasts (i.e., the first and second methods) and long-term forecasts (i.e., the third and fourth methods). The proposed methods achieve the best set of control actions for all voltage and reactive power control equipment to improve the expected value of the figure of merit proposed in this dissertation without violating any of the operating constraints. The proposed methods are validated using the IEEE 123-node radial distribution test feeder.

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Zhang, Zhipeng. „Contributions of distributed generation to electric transmission system“. Thesis, University of Bath, 2017. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.715266.

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Distributed generation (DG) refers to electricity generating plant that is connected to a distribution network rather than the transmission system. At present, small-scale DGs are mostly treated as ‘negative demand’ to the transmission system. However, if their contribution to transmission levels are fully understood and properly assessed, these generators can make into valuable assets to improve operational efficiency and substitute major infrastructure investment. This PhD research aims to addresses this challenge from three key aspects: 1. On assessment methodologies, our current industrial practices to evaluate DG-to- transmission-contribution reveal inherent defects. The method given in the transmission system (SQSS) is not sufficient to reflect today’s dispersed generation technologies; while the method for the distribution system (P2/6) fails to reflect and discriminate between different characteristics of distribution networks that DGs are connected. Overcoming these drawbacks, enhanced frameworks to evaluate DG contribution have been developed in this research. 2. On generator’s contribution, little attention has been paid to photovoltaic (PV) outputs characterization and their integration to the overall evaluation process. Neither SQSS nor P2/6 pays sufficient attantion to evaluating PV’s contribution to system. In this regard, an approach aiming at characterizing PV seasonal outputs is proposed. Integrating with the proposed frameworks, this part of the research completes the DG contribution evaluation architecture. 3. On commercial arrangements, conventional business models largely rely on network investment to meet customer demand. Earning a fixed rate of return on invested capital, incumbent distribution network operator (DNO) businesses are encouraged to invest in network assets, very little has been done to support third party service providers for more efficient network development. In the third part of this research, alternative DNO business models and market mechanisms are proposed to further unlock the potential of DG, substantially increase the potential of their contributions to the transmission system.

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Sahoo, Smrutirekha. „Impact Study: Photo-voltaic Distributed Generation on Power System“. Thesis, Mälardalens högskola, Akademin för ekonomi, samhälle och teknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-32369.

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The grid-connected photo-voltaic (PV) system is one of the most promising renewable energy solutions which offers many benefits to both the end user and the utility network and thus it has gained the popularity over the last few decades. However, due to the very nature of its invariability and weather dependencies, the large scale integration of this type of distributed generation has created challenges for the network operator while maintaining the quality of the power supply and also for reliable and safe operations of the grids. In this study, the behavioral impact of large scale PV system integration which are both steady and dynamic in nature was studied. An aggregate PV model suited to study the impacts was built using MATLAB/Simulink. The integration impacts of PV power to existing grids were studied with focus on the low voltage residential distribution grids of Mälarenergi Elnät AB (10/0.4 kV). The steady state impacts were related to voltage profile, network loss. It was found that the PV generation at the load end undisputedly improves the voltage profile of the grid especially for the load buses which are situated at farther end of the grid. Further, with regard to the overvoltage issue, which is generally a concern during the low load demand period it was concluded that, at a 50% PV penetration level, the voltage level for the load buses is within the limit of 103% as prescribed by the regulator excepting for few load buses. The voltage level for load buses which deviate from the regulatory requirement are located at distance of 1200 meter or further away from the substation. The dynamic impact studied were for voltage unbalancing in the grid, which was found to have greater impact at the load buses which is located farther compared to a bus located nearer to the substation. With respect to impact study related to introduction of harmonics to the grid due to PV system integration, it was found that amount of harmonic content which was measured as total harmonic distortion (THD) multiplies with integration of more number of PV system. For a 50 % penetration level of PV, the introduced harmonics into the representative network is very minimal. Also, it was observed from the simulation study that THD content are be less when the grid operates at low load condition with high solar irradiance compared to lower irradiance and high load condition.

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Bakkar, Mostafa. „Sag effects on protection system in distributed generation grids“. Doctoral thesis, Universitat Politècnica de Catalunya, 2022. http://hdl.handle.net/10803/673721.

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Distributed Generators (DGs) are sensible to voltage sags, so the protection devices must trip fast to disconnect the faulted part of the grid. The DG disconnection will not be desirable in the near future with a large penetration, so it will be necessary to lay down new requirements that should be based on avoiding unnecessary disconnections. Therefore, to prevent unnecessary tripping when inverter-based DGs are connected to the Medium Voltage (MV) grid, reliable and effective protection strategies need to be developed, considering the limited short-circuit current contribution of DG. The initial goal of this study is to employ different possible control strategies for a grid-connected inverter according to the Spanish grid code and to analyze the output voltage behavior during symmetrical and unsymmetrical voltage sags. The analytical development of the proposed strategies shows the impacts of the sag on currents, voltages, active and reactive powers. Another goal of this research is to propose a protection strategy based on Artificial Intelligence for a radial or ring distribution system with high DG penetration. The protection strategy is based on three different algorithms to develop a more secure, redundant, and reliable protection system to ensure supply continuity during disturbances in ring and radial grids without compromising system stability. In order to classify, locate and distinguish between permanent or transient faults, new protection algorithms based on artificial intelligence are proposed in this research, allowing network availability improvement disconnecting only the faulted part of the system. This research introduces the innovative use of directional relay based on a communication system and Artificial Neural Network (ANN). The first algorithm, Centralize algorithm (CE), collects the data from all the PDs in the grid in the centralized controller. This algorithm detects the power flow direction and calculates the positive-sequence current of all the PDs in the grid. Significant benefits of this system are that it consolidates the entire systems security into a single device, which can facilitate system security control. However, the CE will not pinpoint the exact location of the fault if there is any loss of information due to poor communication. Therefore, the systems redundancy can be improved by cooperating with a second algorithm, the Zone algorithm (ZO). ZO algorithm is based on zone control using peer-to-peer connectivity in the same line. The faulty line in that zone may be identified by combining the two PDs data on the same line. The most relevant advantage of this algorithm is its flexibility to adapt to any grid modification or disturbance, even if they are just temporary, unlike the CE, which is fixed to the existing grid configuration. The third protection algorithm, Local algorithm (LO), has been proposed without depending on the communication between the PDs; then, the protection system can work properly in case of a total loss of communication. Each PD should be able to detect if the fault is located in the protected line or another line by using only the local information of the PD. According to the type of fault and based on local measurements at each PD of abc voltages and currents, different algorithms will be applied depending on the calculation of the sequence components. The main advantage of this algorithm is the separate decision of each PD, and avoiding communication problems. In case of radial grids, both mechanical breakers and Solid State Relays (SSRs) are used to verify the protection strategies, and in the case of ring grids, mechanical breakers are used, due to the limitations in required voltage difference of SSR. The proposed protection algorithms are compared with conventional protections (Overcurrent and Differential) protections to validate the contribution of the proposed algorithms, especially in reconfigurable smart grids.
El objetivo inicial de este estudio es emplear diferentes estrategias de control posibles para un inversor conectado a la red segun el código de red español y analizar el comportamiento de la tensión de salida durante caídas de tensión simétricas y asimétricas. El desarrollo analítico de las estrategias propuestas muestra los impactos de los huecos de tensión en las corrientes, tensiones, potencias activas y reactivas. Otro objetivo de esta investigación es proponer una estrategia de protecclón basada en lnteligencia Artificial para una red del Sistema de Distribución, radial o en anillo, con elevada penetración de Generación Distribuida. La estrategia de protección se basa en tres algoritmos diferentes para desarrollar un sistema de protección más seguro, redundante, y fiable, que asegure la continuidad de suministro durante perturbaciones en redes radiales o en anillo sin comprometer la estabilidad del sistema. Para clasificar, localizar y distinguir entre faltas permanentes o transitorias, se proponen en este trabajo nuevos algoritmos de protección basados en inteligencia artificial, permitiendo la mejora de la disponibilidad de la red, al desconectar sólo la parte del sistema en falta. Esta investigación introduce la innovación del uso del rele direccional basado en un sistema de comunicación y Redes Neuronales Artificiales (ANN). El primer algoritmo, Algoritmo Central (CE), recibe los datos de todos los PDs de la red en un control central. Este algoritmo detecta la dirección de flujo de cargas y calcula la corriente de secuencia positiva de todos los PDs de la red. El entrenamiento de ANNs incluye variaciones en la corriente de cortocircuito y la dirección del flujo de potencia en cada PD. Los beneficios mas significativos de este sistema son que concentra la seguridad total del sistema en un único dispositivo, lo que puede facilitar el control de la seguridad del sistema. Sin embargo, el CE no determinara con precisión la localización exacta de la falta si hay alguna perdida de información debida a una pobre comunicación. Por lo tanto, la redundancia del sistema se puede mejorar cooperando con un segundo algoritmo, el algoritmo de Zona (ZO). El algoritmo ZO se basa en un control de zona usando la conectividad entre dispositivos de protección de una misma línea. La línea en falta en esa zona puede identificarse combinando los datos de los dos PDs de la misma línea.. La ventaja mas relevante de este algoritmo es su flexibilidad para adaptarse a cualquier modificación de la red o perturbación, incluso si sólo son temporales, a diferencia del CE, que se ha adaptado para la configuración de la red existente. El tercer algoritmo de protección, algoritmo Local (LO), ha sido propuesto sin dependencia de la comunicación entre PDs; por lo tanto, el sistema de protección puede operar correctamente en el caso de una pérdida total de comunicación. Cada PD debe poder detectar si la falta esta ubicada en la línea protegida o en otra línea, utilizando sóIo la información local del PD. Según el tipo de falta, y en base a medidas locales en cada PD, de tensiones y corrientes abc, se aplican diferentes algoritmos en función del cálculo de las componentes simétricas. La principal ventaja de este algoritmo es la actuación por separado de cada PD, evitando los problemas de comunicación. En el caso de las redes radiales, se utilizan tanto interruptores mecánicos como réles de estado sóIido (SSR) para verificar las estrategias de protección, y en el caso de las redes en anillo se utilizan interruptores mecánicos, debido a las limitaciones de tensión para su conexión. Los algoritmos de protección propuestos se comparan con protecciones convencionales (Sobrecorriente y Diferencial) para validar la contribución de los algoritmos propuestos, especialmente en redes inteligentes reconfigurables.
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Abada, Hashim H. „Turboelectric Distributed Propulsion System for NASA Next Generation Aircraft“. Wright State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=wright1515501052742277.

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Luong, Tommy. „Smart Micro-Grid with Distributed Generation Using Renewable Energy for a Coastal City“. Thesis, California State University, Long Beach, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10977986.

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This thesis presents a novel approach towards solving one of the nation’s electric and energy sustainability problems and will have a major impact on California’s energy policy in meeting its targets, regarding renewable energy and minimizing carbon footprint. The study focuses on examining the technical and economic feasibility of smart micro-grid with distributed generation (DG) system with renewable energy on a coastal city. It presents a method to increase power reliability, redundancy, efficiency and to decrease the greenhouse gases (GHG) emissions contributing to climate change and ensure environmental sustainability. This innovative idea of aggregating multiple micro-grids that encompasses renewable energy from solar and wind, and uses battery storage and natural gas turbine generation for grid stability is unprecedented, which has been demonstrated as part of the results of this study. The proposed system produces enough power to sustain a small city while selling its excess power to adjacent cities. Moreover, this system could adopt other energy sources, not constrained to solar and wind, to exploit an area’s particular renewable energy niche (micro-hydro, geothermal, tidal wave, etc.). It is important to note that this system is economically, socially and environmental friendly (pillars of sustainability), through energy resource diversification, while harnessing free and abundant energy. The results of this study can used in designing and implementing a smart micro-grid in any city to meet its renewable energy and sustainability goal.

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El-Feres, Rashid. „Development of adaptive voltage control system for distribution system with distributed generation“. Thesis, University of Manchester, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.489512.

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Jn today's distribution system, voltage regulation is a big challenge. In fact, with more, inclusion of DG (Distributed Generation), managing Voltage to customer becomes more of a concern. Failure to maintain system voltage can result in unsatisfactory performance of customer's devices or complete failure resulting in damage.

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Bücher zum Thema "Micro distributed generation system"

Borge-Diez, David, und Enrique Rosales-Asensio, Hrsg. Energy System Resilience and Distributed Generation. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-67754-0.

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Bollen, Math, und Fainan Hassan. Integration of Distributed Generation in the Power System. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118029039.

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Bollen, Math H. J. Integration of distributed generation in the power system. Hoboken, N.J: Wiley-IEEE Press, 2011.

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Coddington, Michael H. Updating interconnection screens for PV system integration. Golden, CO: National Renewable Energy Laboratory, 2012.

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Ela, Erik. Operating reserves and variable generation: A comprehensive review of current strategies, studies, and fundamental research on the impact that increased penetration of variable renewable generation has on power system operating reserves. Golden, Colo: National Renewable Energy Laboratory, 2011.

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Carlos, Balda Juan, Oliva Alejandro Raul, Electric Power Research Institute, Central and South West Corporation. und University of Arkansas (Fayetteville campus). Energy Conversion Laboratory., Hrsg. The impact of dispersed generation upon the quality of electric power: The Solar Park in the Ft. Davis distribution system. Palo Alto, CA: Electric Power Research Institute, 1997.

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Peter, Crossley, Chowdhury S. P und Knovel (Firm), Hrsg. Microgrids and active distribution networks. London: Institution of Engineering and Technology, 2009.

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Browne, Joshua Benjamin. A techno-economic and environmental analysis of a novel technology utilizing an internal combustion engine as a compact, inexpensive micro-reformer for a distributed gas-to-liquids system. [New York, N.Y.?]: [publisher not identified], 2016.

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M, Marwali, und Dai Min, Hrsg. Integration of green and renewable energy in electric power systems. Hoboken, N.J: Wiley, 2010.

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Schneider, Lambert, Martin Pehnt, Martin Cames, Corinna Fischer, Barbara Praetorius, Katja Schumacher und Jan-Peter Voß. Micro Cogeneration: Towards Decentralized Energy Systems. Springer, 2010.

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Zheng, Peng, Zeng Jiazhi, Zhang Ming und Zhao Jidong. „Micro-communication Element System“. In Parallel and Distributed Computing: Applications and Technologies, 424–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30501-9_87.

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Strachan, N., H. Zerriffi und H. Dowlatabadi. „System Implications of Distributed Generation“. In International Series in Operations Research & Management Science, 39–75. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0495-5_3.

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Nagaoka, Naoto. „Cable Transient in Distributed Generation System“. In Cable System Transients, 351–90. Singapore: John Wiley & Sons, Singapore Pte. Ltd, 2015. http://dx.doi.org/10.1002/9781118702154.ch8.

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Mandi, Rajashekar P. „Solar PV System with Energy Storage and Diesel Generator“. In Handbook of Distributed Generation, 749–90. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51343-0_22.

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Shukla, Rishabh Dev, Ramesh K. Tripathi, Padmanabh Thakur und Ramesh Bansal. „Protection of Renewable Distributed Generation System“. In Power System Protection in Smart Grid Environment, 593–622. Boca Raton : Taylor & Francis, a CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa, plc, 2019.: CRC Press, 2019. http://dx.doi.org/10.1201/9780429401756-18.

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Priyadarshi, Neeraj, Kavita Yadav, Vinod Kumar und Monika Vardia. „An Experimental Study on Zeta Buck–Boost Converter for Application in PV System“. In Handbook of Distributed Generation, 393–406. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51343-0_13.

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Cesare, Stefano, und Gianfranco Sechi. „Next Generation Gravity Mission“. In Distributed Space Missions for Earth System Monitoring, 575–98. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-4541-8_20.

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Mithulananthan, Nadarajah, Duong Quoc Hung und Kwang Y. Lee. „Distribution System Modelling“. In Intelligent Network Integration of Distributed Renewable Generation, 21–28. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49271-1_2.

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Sandmaier, H. „Piezoresistive Pressure Sensors Representing the 2nd Generation Avoid the Physical Limits Based on Conventional Designs“. In Micro System Technologies 90, 581–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-45678-7_82.

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Yoshida, Eiichi, Satoshi Murata, Shigeru Kokaji, Kohji Tomita und Haruhisa Kurokawa. „Micro Self-reconfigurable Robotic System using Shape Memory Alloy“. In Distributed Autonomous Robotic Systems 4, 145–54. Tokyo: Springer Japan, 2000. http://dx.doi.org/10.1007/978-4-431-67919-6_14.

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Konferenzberichte zum Thema "Micro distributed generation system"

El-Shahat, Adel, Babajide Adepitan, Walter Brannen und Samuel Trent. „Micro-Scale Desalination System Utilizing Distributed Generation Alternative Sources“. In 2021 9th International Renewable and Sustainable Energy Conference (IRSEC). IEEE, 2021. http://dx.doi.org/10.1109/irsec53969.2021.9741160.

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Alhashem, Mohammad, Salem Al-Agtash, Mohanad Batarseh und Zakariya Dalalah. „Scheduling Approach for Connected Micro-Grid System“. In 2018 9th IEEE International Symposium on Power Electronics for Distributed Generation Systems (PEDG). IEEE, 2018. http://dx.doi.org/10.1109/pedg.2018.8447744.

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Nikkhajoei, H., M. Saeedifard und R. Iravani. „A three-level converter based micro-turbine distributed generation system“. In 2006 IEEE Power Engineering Society General Meeting. IEEE, 2006. http://dx.doi.org/10.1109/pes.2006.1709541.

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He, Yufei, Ming-Hao Wang, Zhao Xu und Yi He. „Advanced Intelligent Micro Inverter Control in the Distributed Solar Generation System“. In 2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2). IEEE, 2019. http://dx.doi.org/10.1109/ei247390.2019.9061703.

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Jingding, Ren, Che Yanbo und Zhao Lihua. „Discussion on monitoring scheme of distributed generation and micro-grid system“. In Energy Storage. IEEE, 2011. http://dx.doi.org/10.1109/pesa.2011.5982926.

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Zeineldin, H., E. El-saadany und M. A. Salama. „Distributed Generation Micro-Grid Operation: Control and Protection“. In 2006 Power Systems Conference: Advanced Metering, Protection, Control, Communication, and Distributed Resources. IEEE, 2006. http://dx.doi.org/10.1109/psamp.2006.285379.

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Qingping Wang, Changnian Lin, Xuanhuai Yang und Jialu Liu. „Scheme of intelligent community based on distributed generation and micro-grid“. In 2010 International Conference on Power System Technology - (POWERCON 2010). IEEE, 2010. http://dx.doi.org/10.1109/powercon.2010.5666653.

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Zhu, Lin, Huaiguang Gu, Shujing Li, Mingcheng Yang, Qi Liu, Chen Jia und Luyu Yang. „A Micro Switch Based Modeling Method for LCC-HVDC System“. In 2023 IEEE 14th International Symposium on Power Electronics for Distributed Generation Systems (PEDG). IEEE, 2023. http://dx.doi.org/10.1109/pedg56097.2023.10215240.

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Zhou, Liang, Ming Ding und Rui Bi. „Optimization of design and application of micro-grid energy management system data acquisition system“. In 2010 2nd IEEE International Symposium on Power Electronics for Distributed Generation Systems (PEDG). IEEE, 2010. http://dx.doi.org/10.1109/pedg.2010.5545845.

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Rosli, N., M. F. M. Elias und N. A. Rahim. „Design and Analysis of a Multilevel Converter for Micro Distributed Generation System“. In 2018 International Conference on Intelligent and Advanced System (ICIAS). IEEE, 2018. http://dx.doi.org/10.1109/icias.2018.8540594.

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Berichte der Organisationen zum Thema "Micro distributed generation system"

LaCommare, Kristina Hamachi, Jennifer L. Edwards und Chris Marnay. Distributed generation capabilities of the national energy modeling system. Office of Scientific and Technical Information (OSTI), Januar 2003. http://dx.doi.org/10.2172/816363.

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Shirley, W., R. Cowart, R. Sedano, F. Weston, C. Harrington und D. Moskovitz. State Electricity Regulatory Policy and Distributed Resources: Distribution System Cost Methodologies for Distributed Generation. Office of Scientific and Technical Information (OSTI), Oktober 2002. http://dx.doi.org/10.2172/15001123.

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Faress Rahman und Nguyen Minh. Solid Oxide Fuel Cell Hybrid System for Distributed Power Generation. Office of Scientific and Technical Information (OSTI), Januar 2004. http://dx.doi.org/10.2172/897763.

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Nguyen Minh. Solid Oxide Fuel Cell Hybrid System for Distributed Power Generation. Office of Scientific and Technical Information (OSTI), März 2002. http://dx.doi.org/10.2172/897857.

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Nguyen Minh. Solid Oxide Fuel Cell Hybrid System for Distributed Power Generation. Office of Scientific and Technical Information (OSTI), Juni 2002. http://dx.doi.org/10.2172/897858.

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Nguyen Minh. Solid Oxide Fuel Cell Hybrid System for Distributed Power Generation. Office of Scientific and Technical Information (OSTI), September 2002. http://dx.doi.org/10.2172/897859.

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Nguyen Minh und Faress Rahman. Solid Oxide Fuel Cell Hybrid System for Distributed Power Generation. Office of Scientific and Technical Information (OSTI), Dezember 2002. http://dx.doi.org/10.2172/897860.

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Nguyen Minh. Solid Oxide Fuel Cell Hybrid System for Distributed Power Generation. Office of Scientific and Technical Information (OSTI), Juli 2004. http://dx.doi.org/10.2172/897861.

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Nguyen Minh. Solid Oxide Fuel Cell Hybrid System for Distributed Power Generation. Office of Scientific and Technical Information (OSTI), Januar 2005. http://dx.doi.org/10.2172/897862.

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Nguyen Minh. Solid Oxide Fuel Cell Hybrid System for Distributed Power Generation. Office of Scientific and Technical Information (OSTI), Juli 2005. http://dx.doi.org/10.2172/897863.

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