Virtual power plant (VPP) with a high percentage of flexibility resources has issues that need to be addressed, such as high source-load volatility and limited scope to participate in multi-market bids. Therefore, this paper proposes a VPP standby capacity setting method based on normal distribution framework and Bayesian parameter optimization. Through the marginal revenue and expenditure of standby capacity analysis, this paper constructs a two-stage optimization strategy for VPP trading in multi-market considering double uncertainty, which is solved by the Improved Multi-Objective Squirrel Search Algorithm (IMSSA). Compared to the traditional program, the VPP's participation in the day-ahead spot bidding increased by 5.97% and 2.48%, respectively, total revenue increased by 17.41% and 12.97%, respectively, reliability increased by 0.21%, and overall energy efficiency increased by 10%. Compared to Squirrel Search Algorithm and Particle Swarm Optimization Algorithm, IMSSA improves the optimal revenue by 1.03% and 1.91%, and the convergence speed by 24.24% and 38.01%, respectively.
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A two-stage optimization strategy for VPP trading in multi-market considering setting method and marginal revenue and expenditure of standby capacity
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January 2025
Research Article|
January 17 2025
A two-stage optimization strategy for VPP trading in multi-market considering setting method and marginal revenue and expenditure of standby capacity
Yongli Wang;
Yongli Wang
(Conceptualization, Methodology)
School of Economics and Management, North China Electric Power University
, Changping District, Beijing 102206, China
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Sichong Jiang
;
Sichong Jiang
a)
(Methodology, Visualization, Writing – original draft, Writing – review & editing)
School of Economics and Management, North China Electric Power University
, Changping District, Beijing 102206, China
a)Author to whom correspondence should be addressed: [email protected]
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Hanzhi Zhou;
Hanzhi Zhou
(Conceptualization, Data curation, Writing – review & editing)
School of Economics and Management, North China Electric Power University
, Changping District, Beijing 102206, China
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Mingyang Zhu;
Mingyang Zhu
(Formal analysis, Validation)
School of Economics and Management, North China Electric Power University
, Changping District, Beijing 102206, China
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Yunfei Zhang
Yunfei Zhang
(Data curation, Supervision)
School of Economics and Management, North China Electric Power University
, Changping District, Beijing 102206, China
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a)Author to whom correspondence should be addressed: [email protected]
J. Renewable Sustainable Energy 17, 014101 (2025)
Article history
Received:
June 11 2024
Accepted:
December 13 2024
Citation
Yongli Wang, Sichong Jiang, Hanzhi Zhou, Mingyang Zhu, Yunfei Zhang; A two-stage optimization strategy for VPP trading in multi-market considering setting method and marginal revenue and expenditure of standby capacity. J. Renewable Sustainable Energy 1 January 2025; 17 (1): 014101. https://doi.org/10.1063/5.0223037
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