Bi-Level Optimal Allocation of Flexible Resources for Distribution Network Considering Different Energy Storage Operation Strategies in Electricity Market
Due to the random volatility, a large amount of renewable energy will bring challenges to the security and stability of distribution network. Comprehensive consideration of system economics, security and flexibility has become the focus of research on distribution network optimization planning under...
| 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/9046004/ |
| _version_ | 1818557777129242624 |
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| author | Zhijun Ren Hongxia Guo Ping Yang Guanlin Zuo Zhuoli Zhao |
| author_facet | Zhijun Ren Hongxia Guo Ping Yang Guanlin Zuo Zhuoli Zhao |
| author_sort | Zhijun Ren |
| collection | DOAJ |
| description | Due to the random volatility, a large amount of renewable energy will bring challenges to the security and stability of distribution network. Comprehensive consideration of system economics, security and flexibility has become the focus of research on distribution network optimization planning under the new situation. For the flexible resource allocation problem of distribution network, this paper analyzes the supply and demand relationship of the flexibility of the distribution network, and establishes a bi-level operation-planning joint optimization model for flexible resources. In the operational layer, we not only introduce the insufficient flexibility rate as the evaluation index of system flexibility, but also introduce the network loss, the abandoned wind and solar energy in the economic penalty, aiming at optimizing the annual operating cost of the system. In the planning layer, we evaluate the system security by introducing the comprehensive security index of the system, aiming at optimizing the annual comprehensive cost of the system. In addition, this paper also considers the third-party companies' investment in energy storage system in the electricity market, and further analyses the impact of energy storage operation strategies under different investors on flexible resource allocation. In this paper, the particle swarm optimization algorithm is used to solve the bi-level allocation model. Finally, the IEEE 33-bus test system is used for verification and analysis of the case. The results verify the validity and rationality of the proposed bi-level allocation model. |
| first_indexed | 2024-12-14T00:04:01Z |
| format | Article |
| id | doaj.art-1e616080bfd94603a5239d18d66d9906 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T00:04:01Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-1e616080bfd94603a5239d18d66d99062022-12-21T23:26:08ZengIEEEIEEE Access2169-35362020-01-018584975850810.1109/ACCESS.2020.29830429046004Bi-Level Optimal Allocation of Flexible Resources for Distribution Network Considering Different Energy Storage Operation Strategies in Electricity MarketZhijun Ren0https://orcid.org/0000-0003-3437-4388Hongxia Guo1https://orcid.org/0000-0001-8388-5323Ping Yang2https://orcid.org/0000-0003-1949-8219Guanlin Zuo3https://orcid.org/0000-0002-7706-1659Zhuoli Zhao4https://orcid.org/0000-0003-2531-0614School of Electric Power, South China University of Technology, Guangzhou, ChinaSchool of Electric Power, South China University of Technology, Guangzhou, ChinaSchool of Electric Power, South China University of Technology, Guangzhou, ChinaSchool of Electric Power, South China University of Technology, Guangzhou, ChinaCollege of Automation, Guangdong University of Technology, Guangzhou, ChinaDue to the random volatility, a large amount of renewable energy will bring challenges to the security and stability of distribution network. Comprehensive consideration of system economics, security and flexibility has become the focus of research on distribution network optimization planning under the new situation. For the flexible resource allocation problem of distribution network, this paper analyzes the supply and demand relationship of the flexibility of the distribution network, and establishes a bi-level operation-planning joint optimization model for flexible resources. In the operational layer, we not only introduce the insufficient flexibility rate as the evaluation index of system flexibility, but also introduce the network loss, the abandoned wind and solar energy in the economic penalty, aiming at optimizing the annual operating cost of the system. In the planning layer, we evaluate the system security by introducing the comprehensive security index of the system, aiming at optimizing the annual comprehensive cost of the system. In addition, this paper also considers the third-party companies' investment in energy storage system in the electricity market, and further analyses the impact of energy storage operation strategies under different investors on flexible resource allocation. In this paper, the particle swarm optimization algorithm is used to solve the bi-level allocation model. Finally, the IEEE 33-bus test system is used for verification and analysis of the case. The results verify the validity and rationality of the proposed bi-level allocation model.https://ieeexplore.ieee.org/document/9046004/Renewable energyenergy storage systemparticle swarm optimizationoptimizationflexible resources |
| spellingShingle | Zhijun Ren Hongxia Guo Ping Yang Guanlin Zuo Zhuoli Zhao Bi-Level Optimal Allocation of Flexible Resources for Distribution Network Considering Different Energy Storage Operation Strategies in Electricity Market IEEE Access Renewable energy energy storage system particle swarm optimization optimization flexible resources |
| title | Bi-Level Optimal Allocation of Flexible Resources for Distribution Network Considering Different Energy Storage Operation Strategies in Electricity Market |
| title_full | Bi-Level Optimal Allocation of Flexible Resources for Distribution Network Considering Different Energy Storage Operation Strategies in Electricity Market |
| title_fullStr | Bi-Level Optimal Allocation of Flexible Resources for Distribution Network Considering Different Energy Storage Operation Strategies in Electricity Market |
| title_full_unstemmed | Bi-Level Optimal Allocation of Flexible Resources for Distribution Network Considering Different Energy Storage Operation Strategies in Electricity Market |
| title_short | Bi-Level Optimal Allocation of Flexible Resources for Distribution Network Considering Different Energy Storage Operation Strategies in Electricity Market |
| title_sort | bi level optimal allocation of flexible resources for distribution network considering different energy storage operation strategies in electricity market |
| topic | Renewable energy energy storage system particle swarm optimization optimization flexible resources |
| url | https://ieeexplore.ieee.org/document/9046004/ |
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