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Transaction decision optimization of new electricity market based on virtual power plant participation and Stackelberg game

This study intends to optimize the trading decision-making strategy of the new electricity market with virtual power plants and improve the transmission efficiency of electricity resources. The current problems in China’s power market are analyzed from the perspective of virtual power plants, highli...

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Detalles Bibliográficos
Autor principal: Yang, Jinpeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10118147/
https://www.ncbi.nlm.nih.gov/pubmed/37079540
http://dx.doi.org/10.1371/journal.pone.0284030
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author Yang, Jinpeng
author_facet Yang, Jinpeng
author_sort Yang, Jinpeng
collection PubMed
description This study intends to optimize the trading decision-making strategy of the new electricity market with virtual power plants and improve the transmission efficiency of electricity resources. The current problems in China’s power market are analyzed from the perspective of virtual power plants, highlighting the necessity of reforming the power industry. The generation scheduling strategy is optimized in light of the market transaction decision based on the elemental power contract to enhance the effective transfer of power resources in virtual power plants. Ultimately, value distribution is balanced through virtual power plants to maximize the economic benefits. After 4 hours of simulation, the experimental data shows that 75 MWh of electricity is generated by the thermal power system, 100 MWh by the wind power system, and 200 MWh by the dispatchable load system. Comparatively, the new electricity market transaction model based on the virtual power plant has an actual generation capacity of 250MWh. In addition, the daily load power of the models of thermal power generation, wind power generation, and virtual power plant reported here are compared and analyzed. For a 4-hour simulation run, the thermal power generation system can provide 600 MW of load power, the wind power generation system can provide 730 MW of load power, and the virtual power plant-based power generation system can provide up to 1200 MW of load power. Therefore, the power generation performance of the model reported here is better than other power models. This study can potentially encourage a revised transaction model for the power industry market.
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spelling pubmed-101181472023-04-21 Transaction decision optimization of new electricity market based on virtual power plant participation and Stackelberg game Yang, Jinpeng PLoS One Research Article This study intends to optimize the trading decision-making strategy of the new electricity market with virtual power plants and improve the transmission efficiency of electricity resources. The current problems in China’s power market are analyzed from the perspective of virtual power plants, highlighting the necessity of reforming the power industry. The generation scheduling strategy is optimized in light of the market transaction decision based on the elemental power contract to enhance the effective transfer of power resources in virtual power plants. Ultimately, value distribution is balanced through virtual power plants to maximize the economic benefits. After 4 hours of simulation, the experimental data shows that 75 MWh of electricity is generated by the thermal power system, 100 MWh by the wind power system, and 200 MWh by the dispatchable load system. Comparatively, the new electricity market transaction model based on the virtual power plant has an actual generation capacity of 250MWh. In addition, the daily load power of the models of thermal power generation, wind power generation, and virtual power plant reported here are compared and analyzed. For a 4-hour simulation run, the thermal power generation system can provide 600 MW of load power, the wind power generation system can provide 730 MW of load power, and the virtual power plant-based power generation system can provide up to 1200 MW of load power. Therefore, the power generation performance of the model reported here is better than other power models. This study can potentially encourage a revised transaction model for the power industry market. Public Library of Science 2023-04-20 /pmc/articles/PMC10118147/ /pubmed/37079540 http://dx.doi.org/10.1371/journal.pone.0284030 Text en © 2023 Jinpeng Yang https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Yang, Jinpeng
Transaction decision optimization of new electricity market based on virtual power plant participation and Stackelberg game
title Transaction decision optimization of new electricity market based on virtual power plant participation and Stackelberg game
title_full Transaction decision optimization of new electricity market based on virtual power plant participation and Stackelberg game
title_fullStr Transaction decision optimization of new electricity market based on virtual power plant participation and Stackelberg game
title_full_unstemmed Transaction decision optimization of new electricity market based on virtual power plant participation and Stackelberg game
title_short Transaction decision optimization of new electricity market based on virtual power plant participation and Stackelberg game
title_sort transaction decision optimization of new electricity market based on virtual power plant participation and stackelberg game
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10118147/
https://www.ncbi.nlm.nih.gov/pubmed/37079540
http://dx.doi.org/10.1371/journal.pone.0284030
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