Relevant bibliographies by topics / Renewable energy systems (except smart systems engineering)

Academic literature on the topic 'Renewable energy systems (except smart systems engineering)'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Renewable energy systems (except smart systems engineering)"

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Engel, Dominik. "Enhancing privacy in smart energy systems." e & i Elektrotechnik und Informationstechnik 137, no. 1 (December 17, 2019): 33–37. http://dx.doi.org/10.1007/s00502-019-00779-4.

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AbstractThe mission to move from fossil to renewable energy sources is accompanied and enabled by the digitalization of our energy systems. With the introduction of information and communication technologies, the widespread integration of distributed, renewable sources, even in the distribution grid, are enabled. New use cases such as fast EV charging, local energy communities and dynamic energy tariffs are also enabled. However, this move toward digitalization also increases the exposure of the energy systems for cybercrime and raises concerns regarding the privacy of personal data. In this article, we address the issue of privacy in smart energy systems and give an overview of current methods to enhance privacy.
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Ugwu, Justin, Kenneth C. Odo, Chibuike Peter Ohanu, Jorge García, and Ramy Georgious. "Comprehensive Review of Renewable Energy Communication Modeling for Smart Systems." Energies 16, no. 1 (December 29, 2022): 409. http://dx.doi.org/10.3390/en16010409.

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Due to the rising trends in the adoption of smart systems such as smart grids, smart homes, and vehicle-to-grid, there has been a lot of research interest in these areas. To manage these complex systems effectively and intelligently, a reliable, high-speed, and secure data communication network is very essential. The key distinguishing feature between smart systems and traditional ones is that smart systems use a two-way communication system while traditional systems usually use one-way communication. The requirements and techniques needed to ensure safe, secure, and reliable communication in smart systems have been the focus of many researchers in recent times. This work is aimed at providing a comprehensive, all-encompassing, up-to-date review of smart systems communication to ascertain the research directions as well as challenges. This review will guide other researchers in delving into smart systems communication to identify potential research problems and future research directions or research gaps.
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Kim, Min-Hwi, Deuk-Won Kim, and Dong-Won Lee. "Feasibility of Low Carbon Renewable Energy City Integrated with Hybrid Renewable Energy Systems." Energies 14, no. 21 (November 4, 2021): 7342. http://dx.doi.org/10.3390/en14217342.

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This study evaluated the energy saving potential of renewable energy generation systems based on integrated solar energy in an urban environment. The solar city concept was implemented using photovoltaic (PV) and solar thermal systems. As a case study, the Sejong national pilot smart city in South Korea was selected to evaluate the renewable energy penetration rate. For evaluating the proposed renewable energy systems, the electrical and thermal loads of the smart city were estimated using field measurement data. Then, the renewable energy penetration rate of the city was evaluated. The HomerPro software was used to analyze the PV generation and operating energy consumption of the natural gas (NG) generator with a district heating network. The thermal load-supporting potential of the solar thermal system was estimated using the TRNSYS software. The results showed that the proposed urban integrated renewable energy system could meet over 30% of the renewable energy penetration rate and the levelized cost of energy and total net present cost was 7% lower than the base case system (i.e., NG generator). The proposed system also exhibited 38% less CO2 emissions than the base case system.
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Ge, Leijiao, Jun Yan, Yonghui Sun, and Zhongguan Wang. "Situational Awareness for Smart Distribution Systems." Energies 15, no. 11 (June 6, 2022): 4164. http://dx.doi.org/10.3390/en15114164.

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In recent years, the accelerating climate change and intensifying natural disasters have called for more renewable, resilient, and reliable energy from more distributed sources to more diversified consumers, resulting in a pressing need for advanced situational awareness of modern smart distribution systems [...]
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Østergaard, Poul Alberg, Rasmus Magni Johannsen, Neven Duić, and Henrik Lund. "Sustainable Development of Energy, Water and Environmental Systems and Smart Energy Systems." International Journal of Sustainable Energy Planning and Management 34 (May 25, 2022): 1–4. http://dx.doi.org/10.54337/ijsepm.7269.

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This 34th volume of the International Journal of Sustainable Energy Planning and Management includes papers from the 2021 conference on Sustainable Development of Energy, Water and Environmental Systems (SDEWES) held October 10-15, 2021, in Dubrovnik, Croatia as well as the 7th International Conference on Smart Energy Systems held September 21-22 in Copenhagen, Denmark and two normal papers. A focus area of this issue is district heating and district cooling systems, with articles addressing resources for district heating and cooling systems, impacts of having individual district heating metres for consumers and approaches to analysing district heating systems. Another focus area is stakeholder involvement where two groups of researchers focus on stakeholders from an energy island perspective as well as from a positive energy district perspective. Both groups note the importance of factoring in stakeholders when devising transition plans. Plans for increasing the penetration of renewable energy sources for the Estonian, Latvia and Lithuanian systems are analysed using the Backbone model, finding modest increases in system costs. Lastly, an article sets up an indicator system for assessing environmental performance of European Union member states ranking, e.g., Estonian, Latvia and Lithuanian as moderate (Estonia and Latvia) to weak (Lithuania) in terms of sustainable energy performance score, based on 2019 data.
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Lam, Albert Y. S., Bogusław Łazarz, and Grzegorz Peruń. "Smart Energy and Intelligent Transportation Systems." Energies 15, no. 8 (April 15, 2022): 2900. http://dx.doi.org/10.3390/en15082900.

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Ferro, Giulio, Michela Robba, and Roberto Sacile. "Optimal Control of Smart Distributed Power and Energy Systems." Energies 15, no. 1 (December 21, 2021): 3. http://dx.doi.org/10.3390/en15010003.

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Vinoth, R., R. Nedumaran, P. Alexraj, S. Srinivasan, and S. Abinaya. "Power Electronics for Renewable Energy System with Smart Grid." International Journal for Research in Applied Science and Engineering Technology 10, no. 11 (November 30, 2022): 175–81. http://dx.doi.org/10.22214/ijraset.2022.47187.

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Abstract: Internet of things is an emerging technology that efficiently and effectively improve our daily life activities. It reduces the cost of living by automating the manual processes. It integrates physical objects and devices via internet for synchronized communication. Currently the cost of electricity is reaching the sky so there is a need for some sources that can produce electricity naturally without any cost. Here, solar panels and solar plants take place for producing electricity in natural manner with sun light. Photo voltaic cells are used in these systems that converts the sun light into electricity. Mostly the solar systems are configured in rural or agricultural areas where electricity mediums are still not available. These systems are manually operated by humans. So there is need of efficient approach which automatically control and monitor the current, voltage and other parameters of solar systems and provides real time statistics to users. This research paper proposes an IOT based approach for solar power consumption and monitoring that allow the users to monitor or control the obtained power and EV battery. Majorly, solar plants are built in the locations where people cannot reach on daily basis so this approach allows the people to virtually control their systems from faraway places.
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Horan, Peter, Mark B. Luther, and Hong Xian Li. "Guidance on Implementing Renewable Energy Systems in Australian Homes." Energies 14, no. 9 (May 6, 2021): 2666. http://dx.doi.org/10.3390/en14092666.

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The purpose of this paper is to examine several real house cases as renewable energy resources are installed. It is an empirical study, based on first principles applied to measured data. In the first case presented, a PV solar system has been installed and a hybrid vehicle purchased. Battery storage is being considered. Smart Meter data (provided in Victoria, Australia) measures the electrical energy flowing to and from the grid in each half hour. Missing is the story about what the house is generating and what its energy requirements are through each half hour interval. We apply actual (on site) solar PV data to this study, resolving the unknown energy flows. Analysing energy flow has revealed that there are five fundamental quantities which determine performance, namely energy load, energy import, energy harvesting, energy export and energy storage. As a function of PV size these quantities depend on four parameters, easily derivable from the Smart Meter data, namely the house load, the night-time house load (no PV generation), the rating of the solar PV system and the tariffs charged. This reveals most of the information for providing advice on PV array size and whether to install a battery. An important discovery is that a battery, no matter what size, needs a PV system large enough to charge it during the winter months. The analysis is extended to two more houses located within 5 km for which detailed solar data is unavailable.
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Park, Laihyuk, Yongwoon Jang, Sungrae Cho, and Joongheon Kim. "Residential Demand Response for Renewable Energy Resources in Smart Grid Systems." IEEE Transactions on Industrial Informatics 13, no. 6 (December 2017): 3165–73. http://dx.doi.org/10.1109/tii.2017.2704282.

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Dissertations / Theses on the topic "Renewable energy systems (except smart systems engineering)"

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Aldaouab, Ibrahim. "Optimization and Control of Smart Renewable Energy Systems." University of Dayton / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1567770026080553.

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Alhaider, Mohemmed Masooud. "Optimal Demand Response Models with Energy Storage Systems in Smart Grids." Scholar Commons, 2016. http://scholarcommons.usf.edu/etd/6451.

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This research aims to develop solutions to relieve system stress conditions in electric grids. The approach adopted in this research is based on a new concept in the Smart Grid, namely, demand response optimization. A number of demand response programs with energy storage systems are designed to enable a community to achieve optimal demand side energy management. The proposed models aim to improve the utilization of the demand side energy through load management programs including peak shaving, load shifting, and valley lling. First, a model is proposed to nd the optimal capacity of the battery energy storage system (BESS) to be installed in a power system. This model also aims to design optimal switchable loads programs for a community. The penetration of the switchable loads versus the size of the BESS is investigated. Another model is developed to design an optimal load operation scheduling of a residential heating ventilation and air-conditioning system (HVACs). This model investigates the ability of HVACs to provide optimal demand response. The model also proposes a comfort/cost trade-os formulation for end users. A third model is proposed to incorporate the uncertainty of the photovoltaic power in a residential model. The model would nd the optimal utilization of the PV-output to supply the residential loads. In the first part of this research, mixed integer programming (MIP) formulations are proposed to obtain the optimal capacity of the (BESS) in a power system. Two optimization problems are investigated: (i) When the BESS is owned by a utility, the operation cost of generators and cost of battery will be minimized. Generator on/o states, dispatch level and battery power dispatch level will be determined for a 24-hour period. (ii) When the BESS is owned by a community for peak shaving, the objective function will have a penalty component for the deviation of the importing power from the scheduled power. MIP problems are formulated and solved by CPLEX.The simulation results present the effect of switchable load penetration level on battery sizing parameters. In the second part, a mixed integer programming (MIP) based operation is proposed in this part for residential HVACs. The objective is to minimize the total cost of the HVAC energy consumption under varying electricity prices. A simplied model of a space cooling system considering thermal dynamics is adopted. The optimization problems consider 24-hour operation of HVAC. Comfort/cost trade-o is modeled by introducing a binary variable. The big-M technique is adopted to obtain linear constraints while considering this binary variable. The MIP problems are solved by CPLEX. Simulation results demonstrate the effectiveness of HVAC's ability to respond to varying electricity price. Then, in the final part of this research, two Benders Decomposition strategies are applied to solve a stochastic mixed integer programming (MIP) formulation to obtain the optimal sizing of a photovoltaic system (PV) and battery energy storage system (BESS) to power a residential HVACs. The uncertainty of PV output is modeled using stochastic scenarios with the probability of their occurrence. Total cost including HVAC energy consumption cost and PV/battery installation cost is to be minimized with the system at grid-connected mode over eight hours subject to a varying electricity price. The optimization problem will nd the optimal battery energy capacity, power limit, a number of PV to be installed, and expected HVAC on/o states and BESS charging/discharging states for the next eight hours. This optimization problem is a large-scale MIP problem with expensive computing cost.
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Sudhakaran, Sujith. "Impact of Renewable Energy Installations and Utilisation of Smart Energy Management Systems on low-voltage networks- a study case at Östergarnslandet, Gotland." Thesis, Uppsala universitet, Institutionen för teknikvetenskaper, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-396208.

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This thesis carries out an analysis of PV panel installations in the region of Östergarnslandet, situated in the Swedish island of Gotland. A low-voltage grid of 0.4 kV in the region is examined with the help of software Open DSS. This is done with the data provided by the distribution grid owner, Gotlands Elnät AB (GEAB). The potential impacts created by the PV installations in terms of exceeding currents, voltages and harmonics are assessed and thereby the hosting capacity of Solar PV in the houses and on the whole grid is studied.   Moreover, a theoretical review of the Smart Energy Management System (SEMS) is investigated about the performance and the devices involved in the system. Also, a battery which is a part of SEMS is modelled, taking into account the production and consumption of a single household connected in the grid. The battery sizes for various PV installations at the home is suggested via NPV analysis with the intention to increase the self-consumption and to reduce the cost of the electricity bill. In addition, a survey is conducted in the region with support from the Department of Earth Sciences, Uppsala University Campus Gotland. The survey is made to determine the attitude of the people in Östergarnslandet towards an energy transition. The results show that the maximum amount that can be installed or the hosting capacity of solar in the studied grid is 120 kW. From the simulations, it shows that the impacts created by these PV installations do not violate the specified Grid norms. From the theoretical analysis, SEMS is found to be a better solution for energy management at homes. The performance study done shows that 33 % of the solar energy produced in the home is directly used at the time of production. The remaining energy is used for battery charging for the future supply of power and feeding to the grid. The battery modelled for 10- kW PV installation in the home is found to be 9-kWh and the same for a 15-kW installation. Meanwhile, for a 20- kW installation, a 15-kWh battery is found to be ideal from the study. The survey conducted in the region has turned out to be positive as people are supportive of the energy transition. The responders have marked photovoltaics as the prime option for investment in energy production which assures that it has a good future in the area.
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Hung, Duong Quoc. "Smart integration of distributed renewable generation and battery energy storage." Thesis, The University of Queensland, 2014. https://espace.library.uq.edu.au/view/UQ:342027.

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Renewable energy (i.e., biomass, wind and solar) and Battery Energy Storage (BES) are emerging as sustainable solutions for electricity generation. In the last decade, the smart grid has been introduced to accommodate high penetration of such renewable resources and make the power grid more efficient, reliable and resilient. The smart grid is formulated as a combination of power systems, telecommunication communication and information technology. As an integral part of the smart grid, a smart integration approach is presented in this thesis. The main idea behind the smart integration is locating, sizing and operating renewable-based Distributed Generation (DG) resources and associated BES units in distribution networks strategically by considering various technical, economical and environmental issues. Hence, the aim of the thesis is to develop methodologies for strategic planning and operations of high renewable DG penetration along with an efficient usage of BES units. The first contribution of the thesis is to present three alternative analytical expressions to identify the location, size and power factor of a single DG unit with a goal of minimising power losses. These expressions are easily adapted to accommodate different types of renewable DG units for minimizing energy losses by considering the time-varying demand and different operating conditions of DG units. Both dispatchable and non-dispatchable renewable DG units are investigated in the study. Secondly, a methodology is also introduced in the thesis for the integration of multiple dispatchable biomass and nondispatchable wind units. The concept behind this methodology is that each nondispatchable wind unit is converted into a dispatchable source by adding a biomass unit with sufficient capacity to retain the energy loss at a minimum level. Thirdly, the thesis studies the determination of nondispatchable photovoltaic (PV) penetration into distribution systems while considering time-varying voltage-dependent load models and probabilistic generation. The system loads are classified as an industrial, commercial or residential type or a mix of them with different normalised daily patterns. The Beta probability density function model is used to describe the probabilistic nature of solar irradiance. An analytical expression is proposed to size a PV unit. This expression is based on the derivation of a multiobjective index (IMO) that is formulated as a combination of three indices, namely active power loss, reactive power loss and voltage deviation. The IMO is minimised in determining the optimal size and power factor of a PV unit. Fourthly, the thesis discusses the integration of PV and BES units considering optimal power dispatch. In this work, each nondispatchable PV unit is converted into a dispatchable source by adding a BES unit with sufficient capacity. An analytical expression is proposed to determine the optimal size and power factor of PV and BES units for reducing energy losses and enhancing voltage stability. A self-correction algorithm is then developed for sizing multiple PV and BES units. Finally, the thesis presents a comprehensive framework for DG planning. In this framework, analytical expressions are proposed to efficiently capture the optimal power factor of each DG unit with a standard size for minimising energy losses and enhancing voltage stability. The decision for the optimal location, size and number of DG units is obtained through a benefit-cost analysis over a given planning horizon. Here, the total benefit includes energy sales, loss reduction, network investment deferral and emission reduction, while the total cost is a sum of capital, operation and maintenance expenses. The study reveals that the time-varying demand and generation models play a significant role in renewable DG planning. Depending on the characteristics of demand and generation, a distribution system would accommodate up to an estimated 48% of the nondispatchable renewable DG penetration. A higher penetration level could be obtained for dispatchable DG technologies such as biomass and a hybrid of PV and BES units. More importantly, the study also indicates that optimal power factor operation could be one of the aspects to be considered in the strategy of smart renewable DG integration. A significant energy loss reduction and voltage stability enhancement can be achieved for all the proposed scenarios with DG operation at optimal power factor when compared to DG generation at unity power factor which follows the current standard IEEE 1547. Consequently, the thesis recommends an appropriate modification to the grid code to reflect the optimal or near optimal power factor operation of DG as well as BES units. In addition, it is shown that inclusion of energy loss reduction together with other benefits such as network investment deferral and emission reduction in the analysis would recover DG investments faster.
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Bhatti, Harrison John. "The future of sustainable society – The state of the art of renewable energy and distribution systems." Thesis, Högskolan i Halmstad, Akademin för ekonomi, teknik och naturvetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-37022.

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Today society is facing numerous challenges associated with energy management system. The centralized power generation system is depending on the fossil fuels to generate energy which is harmful to the environment, and it is unable to fulfill the rising demand for electricity. The decentralized power generation system could easily be integrated with renewable energy sources which could satisfy the growing demand for electricity without damaging the environment. This thesis explores the proper energy distribution system (smart grid) which could be fully equipped with the digitalized technology and be integrated with renewable energy sources and decentralized system. Peer-reviewed articles and government reports have been reviewed in order to get the impact of digitalized technology on overall energy management system, as well as the smart grid services commercialized through the business models. The result shows that the cost of transmission lines is reduced by using decentralized power generation system which helps to provide clean energy at low price to the end consumers. Furthermore, the thesis claims that smart grid is a disruptive technology which encourages energy producers and distributors to adopt a rapid change in the energy market along with changing their business model.  Finally, it has been explored that smart grid could provide three services, such as demand response, integration of renewable energy, and grid to vehicle services. These services could successfully be commercialized through business model innovation which enables energy providing and distributing firms to create and capture value regarding profit.

Thanks for the great support who were involved in the completion of this project.

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Behnood, Aref. "Optimal Operation of Battery Energy Storage Systems in Radial Distribution Networks." Thesis, Uppsala universitet, Elektricitetslära, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-397113.

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In recent years, power systems are facing with various challenges arising from the increased share of renewable energy systems. Among all sections of power systems, distribution grids are affected the most since the majority of renewable energy sources are connected to distribution grids. As the penetration of Variable Energy Sources increases in electric grids, energy storage systems have become more influential. In this context, this thesis presents a new algorithm for the optimal operation of Battery Energy Storage Systems in distribution grids. The proposed algorithm aims to define the optimal operation of Battery Energy Storage Systems considering the network topology, the output power of Variable Energy Sources and the electricity prices from the one-day ahead electric market as well as real time control of the batteries through smart appliances. In order to do this, firstly a comprehensive study on the existing Optimal Power Flow methods is carried out. Then, AR-OPF which is a novel Optimal Power Flow method for radial distribution systems is presented and the required mathematical constraints, equations and parameters of Battery Energy Storage Systems for modelling in distribution systems are described. Then, the problem formulation and the proposed algorithm are discussed in detail. Further to energy storage as the main function of Battery Energy Storage Systems, the impact of the proposed method on other functions of Battery Energy Storage Systems such as voltage control, grid support and loss reduction will be investigated. In order to do so, the proposed algorithm is applied to the IEEE 34 node test system as a case study. This will be carried out through defining several different scenarios. Finally, a sensitivity analysis is performed on the size of the existing batteries and the electricity price. The thesis will be concluded by the findings and possible future works.
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Mohamed, Ahmed A. S. Mr. "Bidirectional Electric Vehicles Service Integration in Smart Power Grid with Renewable Energy Resources." FIU Digital Commons, 2017. https://digitalcommons.fiu.edu/etd/3529.

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As electric vehicles (EVs) become more popular, the utility companies are forced to increase power generations in the grid. However, these EVs are capable of providing power to the grid to deliver different grid ancillary services in a concept known as vehicle-to-grid (V2G) and grid-to-vehicle (G2V), in which the EV can serve as a load or source at the same time. These services can provide more benefits when they are integrated with Photovoltaic (PV) generation. The proper modeling, design and control for the power conversion systems that provide the optimum integration among the EVs, PV generations and grid are investigated in this thesis. The coupling between the PV generation and integration bus is accomplished through a unidirectional converter. Precise dynamic and small-signal models for the grid-connected PV power system are developed and utilized to predict the system’s performance during the different operating conditions. An advanced intelligent maximum power point tracker based on fuzzy logic control is developed and designed using a mix between the analytical model and genetic algorithm optimization. The EV is connected to the integration bus through a bidirectional inductive wireless power transfer system (BIWPTS), which allows the EV to be charged and discharged wirelessly during the long-term parking, transient stops and movement. Accurate analytical and physics-based models for the BIWPTS are developed and utilized to forecast its performance, and novel practical limitations for the active and reactive power-flow during G2V and V2G operations are stated. A comparative and assessment analysis for the different compensation topologies in the symmetrical BIWPTS was performed based on analytical, simulation and experimental data. Also, a magnetic design optimization for the double-D power pad based on finite-element analysis is achieved. The nonlinearities in the BIWPTS due to the magnetic material and the high-frequency components are investigated rely on a physics-based co-simulation platform. Also, a novel two-layer predictive power-flow controller that manages the bidirectional power-flow between the EV and grid is developed, implemented and tested. In addition, the feasibility of deploying the quasi-dynamic wireless power transfer technology on the road to charge the EV during the transient stops at the traffic signals is proven.
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Mazloomzadeh, Ali. "Development of Hardware in the Loop Real-Time Control Techniques for Hybrid Power Systems Involving Distributed Demands and Sustainable Energy Sources." FIU Digital Commons, 2014. http://digitalcommons.fiu.edu/etd/1666.

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The future power grid will effectively utilize renewable energy resources and distributed generation to respond to energy demand while incorporating information technology and communication infrastructure for their optimum operation. This dissertation contributes to the development of real-time techniques, for wide-area monitoring and secure real-time control and operation of hybrid power systems. To handle the increased level of real-time data exchange, this dissertation develops a supervisory control and data acquisition (SCADA) system that is equipped with a state estimation scheme from the real-time data. This system is verified on a specially developed laboratory-based test bed facility, as a hardware and software platform, to emulate the actual scenarios of a real hybrid power system with the highest level of similarities and capabilities to practical utility systems. It includes phasor measurements at hundreds of measurement points on the system. These measurements were obtained from especially developed laboratory based Phasor Measurement Unit (PMU) that is utilized in addition to existing commercially based PMU’s. The developed PMU was used in conjunction with the interconnected system along with the commercial PMU’s. The tested studies included a new technique for detecting the partially islanded micro grids in addition to several real-time techniques for synchronization and parameter identifications of hybrid systems. Moreover, due to numerous integration of renewable energy resources through DC microgrids, this dissertation performs several practical cases for improvement of interoperability of such systems. Moreover, increased number of small and dispersed generating stations and their need to connect fast and properly into the AC grids, urged this work to explore the challenges that arise in synchronization of generators to the grid and through introduction of a Dynamic Brake system to improve the process of connecting distributed generators to the power grid. Real time operation and control requires data communication security. A research effort in this dissertation was developed based on Trusted Sensing Base (TSB) process for data communication security. The innovative TSB approach improves the security aspect of the power grid as a cyber-physical system. It is based on available GPS synchronization technology and provides protection against confidentiality attacks in critical power system infrastructures.
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Telci, Ilker Tonguc. "Optimal water quality management in surface water systems and energy recovery in water distribution networks." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45861.

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Two of the most important environmental challenges in the 21st century are to protect the quality of fresh water resources and to utilize renewable energy sources to lower greenhouse gas emissions. This study contributes to the solution of the first challenge by providing methodologies for optimal design of real-time water quality monitoring systems and interpretation of data supplied by the monitoring system to identify potential pollution sources in river networks. In this study, the optimal river water quality monitoring network design aspect of the overall monitoring program is addressed by a novel methodology for the analysis of this problem. In this analysis, the locations of sampling sites are determined such that the contaminant detection time is minimized for the river network while achieving maximum reliability for the monitoring system performance. The data collected from these monitoring stations can be used to identify contamination source locations. This study suggests a methodology that utilizes a classification routine which associates the observations on a contaminant spill with one or more of the candidate spill locations in the river network. This approach consists of a training step followed by a sequential elimination of the candidate spill locations which lead to the identification of potential spill locations. In order to contribute the solution of the second environmental challenge, this study suggests utilizing available excess energy in water distribution systems by providing a methodology for optimal design of energy recovery systems. The energy recovery in water distribution systems is possible by using micro hydroelectric turbines to harvest available excess energy inevitably produced to satisfy consumer demands and to maintain adequate pressures. In this study, an optimization approach for the design of energy recovery systems in water distribution networks is proposed. This methodology is based on finding the best locations for micro hydroelectric plants in the network to recover the excess energy. Due to the unsteady nature of flow in water distribution networks, the proposed methodology also determines optimum operation schedules for the micro turbines.
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Etherden, Nicholas. "Increasing the hosting capacity of distributed energy resources using storage and communication." Doctoral thesis, Luleå tekniska universitet, Energivetenskap, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-18490.

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This thesis develops methods to increase the amount of renewable energy sources that can be integrated into a power grid. The assessed methods include i) dynamic real-time assessment to enable the grid to be operated closer to its design limits; ii) energy storage and iii) coordinated control of distributed production units. Power grids using such novel techniques are referred to as “Smart Grids”. Under favourable conditions the use of these techniques is an alternative to traditional grid planning like replacement of transformers or construction of a new power line. Distributed Energy Resources like wind and solar power will impact the performance of the grid and this sets a limit to the amount of such renewables that can be integrated. The work develops the hosting capacity concept as an objective metric to quantify the ability of a power grid to integrate new production. Several case studies are presented using actual hourly production and consumption data. It is shown how the different variability of renewables and consumption affect the hosting capacity. The hosting capacity method is extended to the application of storage and curtailment. The goal is to create greater comparability and transparency, thereby improving the factual base of discussions between grid operators, electricity producers and other stakeholders on the amount and type of production that can be connected to a grid.Energy storage allows the consumption and production of electricity to be decoupled. This in turn allows electricity to be produced as the wind blows and the sun shines while consumed when required. Yet storage is expensive and the research defines when storage offers unique benefits not possible to achieve by other means. Focus is on comparison of storage to conventional and novel methods.As the number of distributed energy resources increase, their electronic converters need to provide services that help to keep the grid operating within its design criteria. The use of functionality from IEC Smart Grid standards, mainly IEC 61850, to coordinate the control and operation of these resources is demonstrated in a Research, Development and Demonstration site. The site contains wind, solar power, and battery storage together with the communication and control equipment expected in the future grids.Together storage, new communication schemes and grid control strategies allow for increased amounts of renewables into existing power grids, without unacceptable effects on users and grid performance.
Avhandlingen studerar hur existerande elnät kan ta emot mer produktion från förnyelsebara energikällor som vindkraft och solenergi. En metodik utvecklas för att objektivt kvantifiera mängden ny produktion som kan tas emot av ett nät. I flera fallstudier på verkliga nät utvärderas potentiella vinster med energilager, realtids gränser för nätets överföringsförmåga, och koordinerad kontroll av småskaliga energiresurser. De föreslagna lösningarna för lagring och kommunikation har verifierats experimentellt i en forskning, utveckling och demonstrationsanläggning i Ludvika.
Godkänd; 2014; Bibliografisk uppgift: Nicholas Etherden är industridoktorand på STRI AB i Göteborg. Vid sidan av doktoreringen har Nicholas varit aktiv som konsult inom kraftsystemsautomation och Smarta Elnät. Hans specialitet är IEC 61850 standarden för kommunikation inom elnät, vindkraftparker och distribuerad generering. Författaren har en civilingenjörsexamen i Teknisk fysik från Uppsala Universitet år 2000. Under studietiden läste han även kurser i kemi, miljökunskap och teoretisk filosofi. Han var under studietiden ordförande för Student Pugwash Sweden och ledamot International Network of Engineers and of Scientists for Global Responsibility (INES). Efter studietiden var han ordförande i Svenska Forskare och Ingenjörer mot Kärnvapen (FIMK). Han började sin professionella bana som trainee på ABB i Västerås där han spenderade sex år som utvecklare och grupp ledare för applikationsutvecklingen i ABB reläskydd. I parallell till arbete har han läst elkraft vid Mälardalenshögskola. År 2008 började han på STRI AB som ansvarig för dess IEC 61850 interoperabilitetslab. Han är på uppdrag av Svenska Kraftnät aktiv i ENTSO-E IEC 61850 specificeringsarbete och svensk representant i IEC tekniska kommitté 57, arbetsgrupp 10 som förvaltar IEC 61850 standarden. Han har hållit över 30 kurser i IEC 61850 standarden i fler än 10 länder.; 20140218 (niceth); Nedanstående person kommer att disputera för avläggande av teknologie doktorsexamen. Namn: Nicholas Etherden Ämne: Elkraftteknik/Electric Power Engineering Avhandling: Increasing the Hosting Capacity of Distributed Energy Resources Using Storage and Communication Opponent: Professor Joao A Peças Lopes, Faculty of Engineering of the University of Porto, Portugal Ordförande: Professor Math Bollen, Avd för energivetenskap, Institutionen för teknikvetenskap och matematik, Luleå tekniska universitet Tid: Måndag den 24 mars 2014, kl 09.00 Plats: Hörsal A, Campus Skellefteå, Luleå tekniska universitet
SmartGrid Energilager
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Books on the topic "Renewable energy systems (except smart systems engineering)"

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Keyhani, Ali. Design of smart power grid renewable energy systems. Hoboken, N.J: Wiley, 2011.

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Smolenski, Robert. Conducted Electromagnetic Interference (EMI) in Smart Grids. London: Springer London, 2012.

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Noam, Eli M. Broadband Networks, Smart Grids and Climate Change. New York, NY: Springer New York, 2013.

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Noam, Eli M., Lorenzo Maria Pupillo, and Johann J. Kranz. Broadband Networks, Smart Grids and Climate Change. Springer, 2015.

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Book chapters on the topic "Renewable energy systems (except smart systems engineering)"

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Arulvel, S., T. Joshva Devadas, D. Dsilva Winfred Rufuss, and M. Amutha Prabakar. "Renewable Energy Sources for Modern Agricultural Trends." In Cloud IoT Systems for Smart Agricultural Engineering, 223–42. Boca Raton: Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003185413-14.

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Salkuti, Surender Reddy. "Modeling of Various Renewable Energy Resources for Smart Electrical Power Systems." In Lecture Notes in Electrical Engineering, 29–47. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7794-6_2.

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Bortolini, Marco, Mauro Gamberi, Francesco Pilati, and Alberto Regattieri. "Design and Management of Renewable Smart Energy Systems: An Optimization Model and Italian Case Study." In EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization, 1340–52. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97773-7_115.

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Vinogradov, Alexander, Anatoly Sopov, Vadim Bolshev, and Alina Vinogradova. "Gainful Utilization of Excess Heat From Power Transformers." In Handbook of Research on Smart Computing for Renewable Energy and Agro-Engineering, 132–62. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1216-6.ch006.

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The study analyzes the various methods of gainful utilization of excess heat from power transformers. The ways to reduce heat loss inside the tank power transformer are found. The potential amount of heat emitted by power transformers of different capacities is calculated. New ways of combining the functions of electric transformation and heating in a power transformer are described. A system has been developed to use the excess heat of power transformers in the agricultural power systems. There are the structural and schematic diagrams of the system and a method for calculating its main elements. An improved design of the power transformer cooling system has been developed to combine the functions of electric transformation and heating. Experiments to verify the effectiveness of decisions are described. A feasibility study of the implementation of the developed system was carried out.
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Maier, Stephan, and Michael Narodoslawsky. "Optimal Renewable Energy Systems for Smart Cities." In Computer Aided Chemical Engineering, 1849–54. Elsevier, 2014. http://dx.doi.org/10.1016/b978-0-444-63455-9.50143-4.

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Rabbani, Muhammad Asif. "Smart Grids and Hybrid Energy Storage Systems." In Advances in Computer and Electrical Engineering, 170–95. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-4027-5.ch008.

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It is very important that the installed renewable energy system should produce the maximum power outputs with minimum costs, and that can only be achieved with the selection of the best optimization technique applied for the best control strategies along with the introduction of the hybrid energy storage systems (HESS). This chapter presents some optimization techniques applied in control strategies for hybrid energy storage systems in distributed renewable energy systems. The integration of energy production and consumption component through the smart grid concept enables increased demand response and energy efficiency. Hybrid energy storage systems and their applications in the renewable energy systems are extensively discussed besides control strategies involved. The storages systems will play an important role in future related to smart grid.
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Tikhonov, Pavel Valentinovich, Vladimir Aleksandrovich Mayorov, and Konstantin Sergeevich Morenko. "Energy-Saving Systems Using Photovoltaic Modules." In Handbook of Research on Smart Computing for Renewable Energy and Agro-Engineering, 464–85. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1216-6.ch018.

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The chapter presents the results of the development of two systems. The first is a photovoltaic system parallel to the power supply network of LED lamps. The algorithms of the system operation for both working and emergency lighting are shown. The basic operating modes of the system are considered taking into account the criterion of the minimum cost of electricity generated. These modes provide the most complete use of solar energy in the working day with minimal additional costs, allowing the consumer to save on electricity and increase the reliability of the emergency lighting system. The second system is a solar photovoltaic module built into a standard double-glazed window sash size 730x700 (mm), which is designed to charge a block of lithium-ion batteries with a capacity of 6.8 Ah with an output voltage of 5.25 V, the energy of which can be used to power any device having a USB 2.0 connector. The results of calculation of the required peak photovoltaic power of the module are presented; the technology of its sealing is described.
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Uğurlu, Erginbay, and Yusuf Muratoğlu. "Blockchain Technology in Solar Energy." In Advances in Systems Analysis, Software Engineering, and High Performance Computing, 110–28. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-9257-0.ch006.

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Two of the important topics concerning scientists and governments are blockchain and climate change. After the paper of Satoshi Nakamoto, blockchains became a global phenomenon. After its usage for cryptocurrencies, blockchain is starting to be used for digital protocols and smart contracts. Blockchain technology is used in many sectors, such as banking, finance, car leasing, entertainment, energy, etc. Climate change leads to global warming, which means the long-term warming of the planet. Therefore, governments have made an effort to decrease global warming or keep it stable. One of the mitigation ways of global warming is to use renewable energy. Solar energy is one of the most used types of renewable energy sources, and also blockchain technology is widely used in this sector. In this chapter, the authors investigate the use of blockchain technology in the solar energy sector.
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Giaouris, Damian, Athanasios I. Papadopoulos, Panos Seferlis, Simira Papadopoulou, and Spyros Voutetakis. "Adaptive Management of Renewable Energy Smart Grids Using a Power Grand Composite Curves Approach." In 12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering, 2411–16. Elsevier, 2015. http://dx.doi.org/10.1016/b978-0-444-63576-1.50096-0.

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Fikiin, Kostadin, and Borislav Stankov. "Integration of Renewable Energy in Refrigerated Warehouses." In Handbook of Research on Advances and Applications in Refrigeration Systems and Technologies, 803–53. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8398-3.ch022.

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Refrigerated warehouses are large energy consumers and account for a significant portion of the global energy demand. Nevertheless the opportunity for integration of renewable resources in the energy supply of large cold storage facilities is very often unjustifiably neglected, whereas the employment of renewable energy for many other industrial and comfort applications is actively promoted and explored. In that context, the purpose of this chapter is to bridge the existing gap by raising the public awareness of stakeholders, researchers, practicing engineers and policy makers about the availability of a number of smart engineering solutions and control strategies to exploit renewables of different nature (solar, wind, geothermal, biogas, etc.) in the food storage sector, as well as by calling the readers' attention to the specialised knowledge in the matter, which has been published so far.
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Conference papers on the topic "Renewable energy systems (except smart systems engineering)"

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Wardle, Robin, Neal Wade, Christopher Mullen, and Mohammad Royapoor. "Axiomatic design of smart local energy systems." In 2021 12th International Renewable Engineering Conference (IREC). IEEE, 2021. http://dx.doi.org/10.1109/irec51415.2021.9427832.

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Khan, Kaisar R., and Ahmed Abou-Arkaoub. "Evaluation of expected energy generation in multi-area interconnected systems with renewable energy generating units." In 2012 IEEE International Conference on Smart Grid Engineering (SGE). IEEE, 2012. http://dx.doi.org/10.1109/sge.2012.6463960.

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Wang, Kunpeng, and Neal Wade. "An integration platform for optimised design and real-time control of smart local energy systems." In 2021 12th International Renewable Engineering Conference (IREC). IEEE, 2021. http://dx.doi.org/10.1109/irec51415.2021.9427815.

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Qiang, Zhang, Li Jiajue, Liu Yang, Wang Chao, Qi Quan, Zeng Hui, Zhang Jiabin, Gong Xiaowei, and Shi Kai. "Combined Research on Thermoelectricity to Enhance the Capacity of Renewable Energy." In 2018 3rd International Conference on Smart City and Systems Engineering (ICSCSE). IEEE, 2018. http://dx.doi.org/10.1109/icscse.2018.00091.

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Baozhu, Shao, Ou Yangqiang, Li Jiajue, Cheng Xuke, Jin Ying, Dong Henan, Zhang Guanfeng, Bai Xue, and Li Weiyang. "Coordinated Optimization of Electric-Thermal System for Renewable Energy Clean Heating." In 2018 3rd International Conference on Smart City and Systems Engineering (ICSCSE). IEEE, 2018. http://dx.doi.org/10.1109/icscse.2018.00092.

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Garcia, Davide Astiaso. "Smart Energy Systems for Increasing the Energy Independence of Small Islands: Integrating Renewable Energies, Storage Systems and Sustainable Mobility." In The 4th World Congress on Civil, Structural, and Environmental Engineering. Avestia Publishing, 2019. http://dx.doi.org/10.11159/iceptp19.1.

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Mohamed, Regad, Bilal Boudy, and Hossam A. Gabbar. "Fractional PID Controller Tuning Using Krill Herd for Renewable Power Systems Control." In 2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE). IEEE, 2021. http://dx.doi.org/10.1109/sege52446.2021.9534982.

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Bagheri, Mehdi, Venera Nurmanova, Oveis Abedinia, Mohammad Salay Naderi, Noradin Ghadimi, and Mehdi Salay Naderi. "Impacts of Renewable Energy Sources by Battery Forecasting on Smart Power Systems." In 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). IEEE, 2018. http://dx.doi.org/10.1109/eeeic.2018.8493801.

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Nyasapoh, Mark Amoah, Samuel Gyamfi, Seth Kofi Debrah, Hossam Gaber, and Nana Sarfo Agyemang Derkyi. "Assessment of the Economic Viability of Nuclear-Renewable Hybrid Energy Systems: Case for Ghana." In 2022 IEEE 10th International Conference on Smart Energy Grid Engineering (SEGE). IEEE, 2022. http://dx.doi.org/10.1109/sege55279.2022.9889765.

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Eltamaly, Ali M., Majed A. Alotaibi, Waleed A. Elsheikh, Abdulrahman I. Alolah, and Mohamed A. Ahmed. "Novel Demand Side-Management Strategy for Smart Grid Concepts Applications in Hybrid Renewable Energy Systems." In 2022 4th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE). IEEE, 2022. http://dx.doi.org/10.1109/reepe53907.2022.9731431.

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