Pub Date : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384949
C. Lyu, S. Basumallik, S. Eftekharnejad, Chongfang Xu
An emerging new challenge introduced to solar generation forecasting is the accumulation and effective processing of raw weather data. This paper aims to address this challenge by presenting a hybrid approach to forecasting the solar irradiance, incorporating both clustering and feature extraction techniques. The developed method aims to significantly reduce the amount of data required for forecasting, and at the same time increase the accuracy of the forecast. A clustering and data selection strategy is developed that yields a reduced dataset for prediction. The performance of the forecasting approach is evaluated with real solar irradiance data collected throughout the year. Case studies demonstrate that solar irradiance can be accurately forecasted using only 20% of the full-scale training data, while also improving the forecast error compared to using the entire dataset.
{"title":"A Data-Driven Solar Irradiance Forecasting Model with Minimum Data","authors":"C. Lyu, S. Basumallik, S. Eftekharnejad, Chongfang Xu","doi":"10.1109/TPEC51183.2021.9384949","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384949","url":null,"abstract":"An emerging new challenge introduced to solar generation forecasting is the accumulation and effective processing of raw weather data. This paper aims to address this challenge by presenting a hybrid approach to forecasting the solar irradiance, incorporating both clustering and feature extraction techniques. The developed method aims to significantly reduce the amount of data required for forecasting, and at the same time increase the accuracy of the forecast. A clustering and data selection strategy is developed that yields a reduced dataset for prediction. The performance of the forecasting approach is evaluated with real solar irradiance data collected throughout the year. Case studies demonstrate that solar irradiance can be accurately forecasted using only 20% of the full-scale training data, while also improving the forecast error compared to using the entire dataset.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131670947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384960
Joshua Then, A. Agalgaonkar, K. Muttaqi
This paper proposes a decentralised control strategy using droop-based control to generate a charging schedule for electric vehicles (EV). This strategy aims to mitigate voltage rise caused by rooftop photovoltaic (PV) systems and phase unbalance caused by unbalance loads in a low-voltage distribution (LV) network. The strategy also smooths the voltage profile of the network and reduces variation between the maximum and minimum voltages. A modified IEEE 13 node test feeder with an LV network based on a semi-rural Australian town was used to show the impacts of PV and EV charging in the network and verify the proposed strategy.
{"title":"Coordination of Spatially Distributed Electric Vehicle Charging for Voltage Rise and Voltage Unbalance Mitigation in Networks with Solar Penetration","authors":"Joshua Then, A. Agalgaonkar, K. Muttaqi","doi":"10.1109/TPEC51183.2021.9384960","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384960","url":null,"abstract":"This paper proposes a decentralised control strategy using droop-based control to generate a charging schedule for electric vehicles (EV). This strategy aims to mitigate voltage rise caused by rooftop photovoltaic (PV) systems and phase unbalance caused by unbalance loads in a low-voltage distribution (LV) network. The strategy also smooths the voltage profile of the network and reduces variation between the maximum and minimum voltages. A modified IEEE 13 node test feeder with an LV network based on a semi-rural Australian town was used to show the impacts of PV and EV charging in the network and verify the proposed strategy.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116049338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384929
M. Mehrtash, Ghazaleh Mozafari, Yun Li, Yankai Cao
Buildings, as one of the major final energy consumers, are among key contributors to greenhouse gas emissions. A zero energy building is, by definition, a building that produces as much energy from renewable sources as it consumes yearly. In this paper, we propose a comprehensive device sizing model to find the most cost-optimal size of thermal and electrical devices in a zero energy building. The presence of several technologies (i.e., photovoltaic panel, solar thermal collector, heat pump, combined heat and power, heat storage tank, and battery energy storage) and their practical nonlinear behavior are considered in the proposed model. Then, to investigate the effect of uncertainties (i.e., demand and weather forecasting errors) in the quality of the optimal solution, a sensitivity analysis with respect to the correlation between uncertainties is performed. Finally, to illustrate the advantages of the proposed model, a typical building located on the Vancouver campus of the University of British Columbia is studied.
{"title":"1 Optimal Device Sizing for Zero Energy Buildings: Sensitivity of Nonlinear Model to Uncertainties","authors":"M. Mehrtash, Ghazaleh Mozafari, Yun Li, Yankai Cao","doi":"10.1109/TPEC51183.2021.9384929","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384929","url":null,"abstract":"Buildings, as one of the major final energy consumers, are among key contributors to greenhouse gas emissions. A zero energy building is, by definition, a building that produces as much energy from renewable sources as it consumes yearly. In this paper, we propose a comprehensive device sizing model to find the most cost-optimal size of thermal and electrical devices in a zero energy building. The presence of several technologies (i.e., photovoltaic panel, solar thermal collector, heat pump, combined heat and power, heat storage tank, and battery energy storage) and their practical nonlinear behavior are considered in the proposed model. Then, to investigate the effect of uncertainties (i.e., demand and weather forecasting errors) in the quality of the optimal solution, a sensitivity analysis with respect to the correlation between uncertainties is performed. Finally, to illustrate the advantages of the proposed model, a typical building located on the Vancouver campus of the University of British Columbia is studied.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"51 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134537810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384983
Carlos Andrés Luque Carvajal, Sebastian Camilo Soler Cruz, Y. E. G. Vera, Oscar Daniel Diaz Castillo
The actual operating conditions of solar photovoltaic (PV) modules in external environments are generally very different from those presented at STC (Standard Test Conditions) provided by the manufacturers; therefore, it is important to evaluate the solar PV module's operation in real outdoor environments and verify how their performance is affected by variables such as temperature, humidity and irradiation. In this article two stand-alone PV systems with monocrystalline and polycrystalline silicon technologies, with a data acquisition system were designed and implemented, in order to take measurements of environmental variables and power output. A three-month study between September and November 2019 in Bogotá was done, obtaining measurement data in order to compare environmental variables versus power output. The results obtained in this study show the relation between the environmental conditions and the power output for different PV module technologies.
{"title":"Outdoor Performance of crystalline silicon PV modules in Bogotá - Colombia","authors":"Carlos Andrés Luque Carvajal, Sebastian Camilo Soler Cruz, Y. E. G. Vera, Oscar Daniel Diaz Castillo","doi":"10.1109/TPEC51183.2021.9384983","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384983","url":null,"abstract":"The actual operating conditions of solar photovoltaic (PV) modules in external environments are generally very different from those presented at STC (Standard Test Conditions) provided by the manufacturers; therefore, it is important to evaluate the solar PV module's operation in real outdoor environments and verify how their performance is affected by variables such as temperature, humidity and irradiation. In this article two stand-alone PV systems with monocrystalline and polycrystalline silicon technologies, with a data acquisition system were designed and implemented, in order to take measurements of environmental variables and power output. A three-month study between September and November 2019 in Bogotá was done, obtaining measurement data in order to compare environmental variables versus power output. The results obtained in this study show the relation between the environmental conditions and the power output for different PV module technologies.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114282948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384959
M. Rezvani, S. Mehraeen
The tendency to gain the benefits of both ac and dc grids pushed the power industries to introduce the ac-dc hybrid system as the future of distribution systems. Although these grids bring substantial advantages for the power system, such as stability, reliability, resiliency, they add more complexities to power network studies, such as load flow, short circuit, dynamic, stability analyses. These complexities arise due to the presence of ac-dc converters. In a hybrid grid, ac and dc system equations should be solved either simultaneously or sequentially. Despite the sequential method that was in a center of attention, the simultaneous approaches have not been deeply researched due to some technical barriers. This paper aims to explore the ac equivalent circuits of dc grids so that the ac-dc hybrid grid can be considered and analyzed as one ac grid. Accordingly, dealing with separate sets of equations for ac and dc networks is avoided. Therefore, all of the classical power system studies, such as the Newton Raphson (NR) based load flow algorithm, stability and dynamic analyses, and short circuit study, can be applied to the ac-dc network with a small modification that substantially saves time and effort.
{"title":"A Generalized Model For Unified Ac-Dc Load Flow Analysis","authors":"M. Rezvani, S. Mehraeen","doi":"10.1109/TPEC51183.2021.9384959","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384959","url":null,"abstract":"The tendency to gain the benefits of both ac and dc grids pushed the power industries to introduce the ac-dc hybrid system as the future of distribution systems. Although these grids bring substantial advantages for the power system, such as stability, reliability, resiliency, they add more complexities to power network studies, such as load flow, short circuit, dynamic, stability analyses. These complexities arise due to the presence of ac-dc converters. In a hybrid grid, ac and dc system equations should be solved either simultaneously or sequentially. Despite the sequential method that was in a center of attention, the simultaneous approaches have not been deeply researched due to some technical barriers. This paper aims to explore the ac equivalent circuits of dc grids so that the ac-dc hybrid grid can be considered and analyzed as one ac grid. Accordingly, dealing with separate sets of equations for ac and dc networks is avoided. Therefore, all of the classical power system studies, such as the Newton Raphson (NR) based load flow algorithm, stability and dynamic analyses, and short circuit study, can be applied to the ac-dc network with a small modification that substantially saves time and effort.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130011948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384921
Pooria Dehghanian, T. Overbye
Geomagnetic Disturbances (GMDs) could potentially damage the power grid through reactive power losses and overheating the high-voltage power transformers. A high-impact Low-frequency event such as GMD could induce a hotspot temperature rise over the transformer's overall temperature during a full load condition leading to an accelerated asset loss of life and increased risk of failure. This paper focuses on the impact of GMDs on transformers heating and its consequences on transformer's loss of life cycle and failure risk. Moreover, this paper proposes a transformer hazard mitigation approach to reduce the temperature-dependent transformer risk of failure. The proposed method is tested in the synthetic Texas 2000-bus grid, and the results are numerically analysed, demonstrating the effectiveness of the algorithm.
{"title":"Temperature-Triggered Failure Hazard Mitigation of Transformers Subject to Geomagnetic Disturbances","authors":"Pooria Dehghanian, T. Overbye","doi":"10.1109/TPEC51183.2021.9384921","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384921","url":null,"abstract":"Geomagnetic Disturbances (GMDs) could potentially damage the power grid through reactive power losses and overheating the high-voltage power transformers. A high-impact Low-frequency event such as GMD could induce a hotspot temperature rise over the transformer's overall temperature during a full load condition leading to an accelerated asset loss of life and increased risk of failure. This paper focuses on the impact of GMDs on transformers heating and its consequences on transformer's loss of life cycle and failure risk. Moreover, this paper proposes a transformer hazard mitigation approach to reduce the temperature-dependent transformer risk of failure. The proposed method is tested in the synthetic Texas 2000-bus grid, and the results are numerically analysed, demonstrating the effectiveness of the algorithm.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130878441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384910
Mahendra Kumar, S. Agrawal, T. Mohamed
This paper presents the application of autonomous groups particles swarm optimization (AGPSO) algorithm for PID control design. The proposed control approach is used to design the controller of heat pump and plug-in hybrid electric vehicles for the frequency control of the isolated microgrid. This isolated microgrid is powered by diesel generator and solar energy sources. In addition, load frequency control (LFC) based on PID design for diesel generator is also proposed using AGPSO algorithm. The efficacy and effectiveness of proposed control design approach is evaluated under the influence of random load demand disturbances, and random solar power deviation. Further, the robustness and performance of the proposed control design are tested under parametric uncertainty, and multiple operating conditions of controllers. Finally, simulation results show the effectiveness and performance of the proposed control design in comparison to the published control design approach.
{"title":"Application of AGPSO Algorithm in Frequency Controller Design for Isolated Microgrid","authors":"Mahendra Kumar, S. Agrawal, T. Mohamed","doi":"10.1109/TPEC51183.2021.9384910","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384910","url":null,"abstract":"This paper presents the application of autonomous groups particles swarm optimization (AGPSO) algorithm for PID control design. The proposed control approach is used to design the controller of heat pump and plug-in hybrid electric vehicles for the frequency control of the isolated microgrid. This isolated microgrid is powered by diesel generator and solar energy sources. In addition, load frequency control (LFC) based on PID design for diesel generator is also proposed using AGPSO algorithm. The efficacy and effectiveness of proposed control design approach is evaluated under the influence of random load demand disturbances, and random solar power deviation. Further, the robustness and performance of the proposed control design are tested under parametric uncertainty, and multiple operating conditions of controllers. Finally, simulation results show the effectiveness and performance of the proposed control design in comparison to the published control design approach.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128199697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384948
Anam Iqbal, Ahmad Nadeem, Malik Muhammad Arslan, M. Javed, N. Arshad
Pakistan experienced a grave power shortfall between 2006 and 2017. The government responded to the situation through fast track development of power plants. However, the energy planners were unable to accurately forecast the electricity demand, resulting in a situation where more generation is available than needed. The power plants are backed by take-or-pay contracts. Thus, even if the power plants are not operating, a substantial capacity payment is still paid. To utilize this surplus available capacity year around electricity loads are needed. On the other hand, Northeastern Pakistan has one of the worst air quality in the world. Over 45% of the emissions are attributed to the transport sector. Therefore, electric vehicles (EVs) are an ideal load that utilizes the excess generation capacity and at the same time, improves air quality in the region. In this paper, we analyse the impact of various penetration levels of EVs on the utilization of excess generation capacity. This analysis will help us to determine EV penetration goals such that the capacity is optimally utilized. The impact of EVs is analysed using three optimistic scenarios of 30%, 50% and 70% new vehicle sales for two, three and four wheelers starting from 2020. This showed that by 2024, EVs will add 1250 MW at 70% new vehicle sales and only with peak demand, it is expected to reach available generation capacity.
{"title":"Does Pakistan have enough electricity generation to support massive penetration of electric vehicles?","authors":"Anam Iqbal, Ahmad Nadeem, Malik Muhammad Arslan, M. Javed, N. Arshad","doi":"10.1109/TPEC51183.2021.9384948","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384948","url":null,"abstract":"Pakistan experienced a grave power shortfall between 2006 and 2017. The government responded to the situation through fast track development of power plants. However, the energy planners were unable to accurately forecast the electricity demand, resulting in a situation where more generation is available than needed. The power plants are backed by take-or-pay contracts. Thus, even if the power plants are not operating, a substantial capacity payment is still paid. To utilize this surplus available capacity year around electricity loads are needed. On the other hand, Northeastern Pakistan has one of the worst air quality in the world. Over 45% of the emissions are attributed to the transport sector. Therefore, electric vehicles (EVs) are an ideal load that utilizes the excess generation capacity and at the same time, improves air quality in the region. In this paper, we analyse the impact of various penetration levels of EVs on the utilization of excess generation capacity. This analysis will help us to determine EV penetration goals such that the capacity is optimally utilized. The impact of EVs is analysed using three optimistic scenarios of 30%, 50% and 70% new vehicle sales for two, three and four wheelers starting from 2020. This showed that by 2024, EVs will add 1250 MW at 70% new vehicle sales and only with peak demand, it is expected to reach available generation capacity.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"193 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115521493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384989
T. K. Roy, M. A. Mahmud, S. K. Ghosh, M. Pramanik, R. Kumar, A. Oo
This paper presents an adaptive sliding model controller for rapid earth fault current limiters (REFCLs) in resonant grounded power distribution networks to mitigate the impacts of powerline bushfires by compensating the fault current along with the faulty phase voltage. The powerline bushfire mitigation application using REFCLs with residual current compensation (RCC) inverters requires extremely fast response from the controller used for these inverters. The proposed adaptive sliding mode controller is designed based on the global terminal sliding surface (GTSS) in conjunction with a quick reaching law in order to achieve the fast compensation of the fault current and faulty phase voltage. Furthermore, a parameter adaptation law is used to estimate the parameter of the arc suppression coil used within REFCLs so that the controller provides robustness against parametric uncertainties. Rigorous simulations are carried out on a test distribution system to justify the effectiveness this newly proposed adaptive sliding mode controller in terms of eliminating the fault current and faulty phase voltage so that the impacts of powerline bushfires are minimized. Simulation results are also compared with an integral sliding mode controller in order to demonstrate the effectiveness of the adaptive sliding mode controller in terms of maintaining the performance guideline for mitigating powerline bushfires.
{"title":"Design of an Adaptive Sliding Mode Controller for Rapid Earth Fault Current Limiters in Resonant Grounded Distribution Networks to Mitigate Powerline Bushfires","authors":"T. K. Roy, M. A. Mahmud, S. K. Ghosh, M. Pramanik, R. Kumar, A. Oo","doi":"10.1109/TPEC51183.2021.9384989","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384989","url":null,"abstract":"This paper presents an adaptive sliding model controller for rapid earth fault current limiters (REFCLs) in resonant grounded power distribution networks to mitigate the impacts of powerline bushfires by compensating the fault current along with the faulty phase voltage. The powerline bushfire mitigation application using REFCLs with residual current compensation (RCC) inverters requires extremely fast response from the controller used for these inverters. The proposed adaptive sliding mode controller is designed based on the global terminal sliding surface (GTSS) in conjunction with a quick reaching law in order to achieve the fast compensation of the fault current and faulty phase voltage. Furthermore, a parameter adaptation law is used to estimate the parameter of the arc suppression coil used within REFCLs so that the controller provides robustness against parametric uncertainties. Rigorous simulations are carried out on a test distribution system to justify the effectiveness this newly proposed adaptive sliding mode controller in terms of eliminating the fault current and faulty phase voltage so that the impacts of powerline bushfires are minimized. Simulation results are also compared with an integral sliding mode controller in order to demonstrate the effectiveness of the adaptive sliding mode controller in terms of maintaining the performance guideline for mitigating powerline bushfires.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126514622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384934
Daryn Negmetzhanov, H. K. Nunna, P. Siano, S. Doolla
An increasing share of on-site distributed generation systems enabled peer-to-peer (P2P) energy trading in distribution systems, where several entities cooperate to obtain electricity at minimum price and make the generation sector Eco-friendly. In this research avenue, significantly less attention was given to the ancillary services, such as reactive power, trading by prosumers. In this paper, we propose a P2P framework in which prosumers can trade reactive power in addition to the active power. The interactions and decision-making processes are modeled as games, and insights on auction mechanisms and bidding (pricing) strategies are present. The game-theoretic approach with trading the bundled energy trading model provides prosumers with more benefits than centralised entity or active power P2P trading model.
{"title":"Peer-to-Peer Bundled Energy Trading with Game Theoretic Approach","authors":"Daryn Negmetzhanov, H. K. Nunna, P. Siano, S. Doolla","doi":"10.1109/TPEC51183.2021.9384934","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384934","url":null,"abstract":"An increasing share of on-site distributed generation systems enabled peer-to-peer (P2P) energy trading in distribution systems, where several entities cooperate to obtain electricity at minimum price and make the generation sector Eco-friendly. In this research avenue, significantly less attention was given to the ancillary services, such as reactive power, trading by prosumers. In this paper, we propose a P2P framework in which prosumers can trade reactive power in addition to the active power. The interactions and decision-making processes are modeled as games, and insights on auction mechanisms and bidding (pricing) strategies are present. The game-theoretic approach with trading the bundled energy trading model provides prosumers with more benefits than centralised entity or active power P2P trading model.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"172 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122784796","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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