Medium and Long-Term Electricity Trading Considering Renewable Energy Participation
The medium and long-term electricity trading approach considering uncertain renewable energy participation is established based on the bi-level model in this paper. The upper-level is designed to maximize the profitability of power generation companies, while the lower-level aims to maximize the soc...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8988279/ |
| _version_ | 1818920778799775744 |
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| author | Hong Fan Keke Yu Shuqing Zhang Haijun Xing Zuyi Li Mohammad Shahidehpour Shiwei Xia |
| author_facet | Hong Fan Keke Yu Shuqing Zhang Haijun Xing Zuyi Li Mohammad Shahidehpour Shiwei Xia |
| author_sort | Hong Fan |
| collection | DOAJ |
| description | The medium and long-term electricity trading approach considering uncertain renewable energy participation is established based on the bi-level model in this paper. The upper-level is designed to maximize the profitability of power generation companies, while the lower-level aims to maximize the social welfare. Afterwards, a hybrid algorithm combining the discrete and continuous particle swarm optimization is proposed to solve the upper-level model, and the nonlinear programming method is used to address the lower-level model. Finally, verification is performed on the improved IEEE 39-bus system, and simulation results demonstrate that the proposed approach could indeed improve the profit of renewable energy as well as increase the social welfare of power generation enterprises. |
| first_indexed | 2024-12-20T01:27:10Z |
| format | Article |
| id | doaj.art-3a89e39e1805431982596128e03db427 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-20T01:27:10Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-3a89e39e1805431982596128e03db4272022-12-21T19:58:12ZengIEEEIEEE Access2169-35362020-01-018352903529810.1109/ACCESS.2020.29725608988279Medium and Long-Term Electricity Trading Considering Renewable Energy ParticipationHong Fan0Keke Yu1https://orcid.org/0000-0002-2440-1955Shuqing Zhang2Haijun Xing3Zuyi Li4Mohammad Shahidehpour5Shiwei Xia6Department of Electrical Engineering, Shanghai University of Electric Power, Shanghai, ChinaDepartment of Electrical Engineering, Shanghai University of Electric Power, Shanghai, ChinaDepartment of Electrical Engineering, Tsinghua University, Beijing, ChinaDepartment of Electrical Engineering, Shanghai University of Electric Power, Shanghai, ChinaDepartment of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, IL, USADepartment of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, IL, USAState Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources, North China Electric Power University, Beijing, ChinaThe medium and long-term electricity trading approach considering uncertain renewable energy participation is established based on the bi-level model in this paper. The upper-level is designed to maximize the profitability of power generation companies, while the lower-level aims to maximize the social welfare. Afterwards, a hybrid algorithm combining the discrete and continuous particle swarm optimization is proposed to solve the upper-level model, and the nonlinear programming method is used to address the lower-level model. Finally, verification is performed on the improved IEEE 39-bus system, and simulation results demonstrate that the proposed approach could indeed improve the profit of renewable energy as well as increase the social welfare of power generation enterprises.https://ieeexplore.ieee.org/document/8988279/Renewable energyelectricity marketmedium and long-term electricity tradingparticle swarm optimization |
| spellingShingle | Hong Fan Keke Yu Shuqing Zhang Haijun Xing Zuyi Li Mohammad Shahidehpour Shiwei Xia Medium and Long-Term Electricity Trading Considering Renewable Energy Participation IEEE Access Renewable energy electricity market medium and long-term electricity trading particle swarm optimization |
| title | Medium and Long-Term Electricity Trading Considering Renewable Energy Participation |
| title_full | Medium and Long-Term Electricity Trading Considering Renewable Energy Participation |
| title_fullStr | Medium and Long-Term Electricity Trading Considering Renewable Energy Participation |
| title_full_unstemmed | Medium and Long-Term Electricity Trading Considering Renewable Energy Participation |
| title_short | Medium and Long-Term Electricity Trading Considering Renewable Energy Participation |
| title_sort | medium and long term electricity trading considering renewable energy participation |
| topic | Renewable energy electricity market medium and long-term electricity trading particle swarm optimization |
| url | https://ieeexplore.ieee.org/document/8988279/ |
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