Robust Security Constrained Energy and Regulation Service Bidding Strategy for a Virtual Power Plant
In addition to renewable energy sources and market prices uncertainties, the regulation commands issued by the superior market operator are unpredictable factors within the virtual power plant (VPP) bidding range. To avoid branch power flow outage and voltage violation under uncertain regulation com...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
China electric power research institute
2025-01-01
|
| Series: | CSEE Journal of Power and Energy Systems |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9862538/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850179813839470592 |
|---|---|
| author | Zhongkai Yi Yinliang Xu Xuan Wei Hongbin Sun |
| author_facet | Zhongkai Yi Yinliang Xu Xuan Wei Hongbin Sun |
| author_sort | Zhongkai Yi |
| collection | DOAJ |
| description | In addition to renewable energy sources and market prices uncertainties, the regulation commands issued by the superior market operator are unpredictable factors within the virtual power plant (VPP) bidding range. To avoid branch power flow outage and voltage violation under uncertain regulation commands, a tri-level robust optimization-based day-ahead energy and regulation service bidding strategy for a generalized VPP, considering various distributed energy resources is proposed, in which the VPP bidding strategy, worst scenario estimation approach and regulation service scheduling method are formulated at three optimization layers, respectively. Then, the proposed tri-level model is transformed into an equivalent, single-level, mixed integer, second-order cone programming problem with rigid proof. Numerical simulations illustrate the effectiveness and superiority of the proposed approach by comparison with other prevailing methods in recent literature. |
| format | Article |
| id | doaj-art-94e351adf00a4412b6e091548dbed779 |
| institution | OA Journals |
| issn | 2096-0042 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | China electric power research institute |
| record_format | Article |
| series | CSEE Journal of Power and Energy Systems |
| spelling | doaj-art-94e351adf00a4412b6e091548dbed7792025-08-20T02:18:24ZengChina electric power research instituteCSEE Journal of Power and Energy Systems2096-00422025-01-0111269270410.17775/CSEEJPES.2021.008209862538Robust Security Constrained Energy and Regulation Service Bidding Strategy for a Virtual Power PlantZhongkai Yi0Yinliang Xu1https://orcid.org/0000-0001-5149-5101Xuan Wei2Hongbin Sun3Tsinghua Shenzhen International Graduate School, Tsinghua University,Shenzhen,China,518055Tsinghua Shenzhen International Graduate School, Tsinghua University,Shenzhen,China,518055Tsinghua Shenzhen International Graduate School, Tsinghua University,Shenzhen,China,518055Tsinghua University,Department of Electrical Engineering,Beijing,China,100084In addition to renewable energy sources and market prices uncertainties, the regulation commands issued by the superior market operator are unpredictable factors within the virtual power plant (VPP) bidding range. To avoid branch power flow outage and voltage violation under uncertain regulation commands, a tri-level robust optimization-based day-ahead energy and regulation service bidding strategy for a generalized VPP, considering various distributed energy resources is proposed, in which the VPP bidding strategy, worst scenario estimation approach and regulation service scheduling method are formulated at three optimization layers, respectively. Then, the proposed tri-level model is transformed into an equivalent, single-level, mixed integer, second-order cone programming problem with rigid proof. Numerical simulations illustrate the effectiveness and superiority of the proposed approach by comparison with other prevailing methods in recent literature.https://ieeexplore.ieee.org/document/9862538/Bidding strategydistributed energy resourcespower markettri-level optimizationvirtual power plant |
| spellingShingle | Zhongkai Yi Yinliang Xu Xuan Wei Hongbin Sun Robust Security Constrained Energy and Regulation Service Bidding Strategy for a Virtual Power Plant CSEE Journal of Power and Energy Systems Bidding strategy distributed energy resources power market tri-level optimization virtual power plant |
| title | Robust Security Constrained Energy and Regulation Service Bidding Strategy for a Virtual Power Plant |
| title_full | Robust Security Constrained Energy and Regulation Service Bidding Strategy for a Virtual Power Plant |
| title_fullStr | Robust Security Constrained Energy and Regulation Service Bidding Strategy for a Virtual Power Plant |
| title_full_unstemmed | Robust Security Constrained Energy and Regulation Service Bidding Strategy for a Virtual Power Plant |
| title_short | Robust Security Constrained Energy and Regulation Service Bidding Strategy for a Virtual Power Plant |
| title_sort | robust security constrained energy and regulation service bidding strategy for a virtual power plant |
| topic | Bidding strategy distributed energy resources power market tri-level optimization virtual power plant |
| url | https://ieeexplore.ieee.org/document/9862538/ |
| work_keys_str_mv | AT zhongkaiyi robustsecurityconstrainedenergyandregulationservicebiddingstrategyforavirtualpowerplant AT yinliangxu robustsecurityconstrainedenergyandregulationservicebiddingstrategyforavirtualpowerplant AT xuanwei robustsecurityconstrainedenergyandregulationservicebiddingstrategyforavirtualpowerplant AT hongbinsun robustsecurityconstrainedenergyandregulationservicebiddingstrategyforavirtualpowerplant |