COLLABORATIVE OPTIMIZATION OF INDEPENDENT ENERGY STORAGE POWER STATION'S CAPACITY BIDDIND IN REAL-TIME ENERGY AND REQULATION MARKET

Wang Zimou; Huang Xianchao; Shi Lei; Chai Yifeng; Shu Jun

doi:10.19912/j.0254-0096.tynxb.2023-0719

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Acta Energiae Solaris Sinica ›› 2024, Vol. 45 ›› Issue (9) : 630-638. DOI: 10.19912/j.0254-0096.tynxb.2023-0719

COLLABORATIVE OPTIMIZATION OF INDEPENDENT ENERGY STORAGE POWER STATION'S CAPACITY BIDDIND IN REAL-TIME ENERGY AND REQULATION MARKET

Wang Zimou¹, Huang Xianchao¹, Shi Lei², Chai Yifeng¹, Shu Jun¹

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Abstract

Firstly, the polyhedral uncertainty set and the uncertainty set based on Wasserstein distance are used to describe the uncertainty of regulation signal and real-time energy- regulation market price respectively. Secondly, a distributionally robust optimization model of independent energy storage power stations participating in the joint market is established to collaboratively optimize the declared capacity of different markets. In the model, the real-time frequency regulation performance index is introduced to reflect the comprehensive influence of frequency regulation response on regulation revenue, charge and discharge cost and degradation cost, so as to better optimize the self-scheduling plan of energy storage. Then, the Lagrangian dual method is used to transform the established distributionally robust optimization model into a classical robust optimization model, and the Gurobi solver is used to solve the problem after linearization by removing the absolute value and constructing the piecewise function. Finally, the correctness and effectiveness of the proposed optimization model are verified by an example.

Key words

energy storage / frequency regulation / uncertainty analysis / distributionally robust optimization / real-time regulation performance

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Wang Zimou, Huang Xianchao, Shi Lei, Chai Yifeng, Shu Jun. COLLABORATIVE OPTIMIZATION OF INDEPENDENT ENERGY STORAGE POWER STATION'S CAPACITY BIDDIND IN REAL-TIME ENERGY AND REQULATION MARKET[J]. Acta Energiae Solaris Sinica. 2024, 45(9): 630-638 https://doi.org/10.19912/j.0254-0096.tynxb.2023-0719

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