Distributed Optimization Strategy for New Energy Stations and Energy Storage Stations Considering Multiple Time Scales

Suwei Zhai (), Wenyun Li, Chao Zheng and Weixin Wang
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Suwei Zhai: Yunnan Power Dispatching Control Center of China Southern Power Grid, Kunming 650011, China
Wenyun Li: Yunnan Power Dispatching Control Center of China Southern Power Grid, Kunming 650011, China
Chao Zheng: Yunnan Power Dispatching Control Center of China Southern Power Grid, Kunming 650011, China
Weixin Wang: Xu Ji Electric Co., Ltd., Xuchang 461000, China

Energies, 2024, vol. 17, issue 19, 1-13

Abstract: The “dual carbon” goal has made it a mainstream trend for new energy stations (NESs) and energy storage stations (ESSs) to jointly participate in market regulation. This paper proposes a multiple time scale distributed optimization method for NESs and ESSs based on the alternate direction multiplier method (ADMM). By first considering the uncertainty of new energy output and the volatility of electricity market prices, a multi time scale revenue model is constructed for day-ahead, intraday, and real-time markets. Then, the objective function is built by maximizing the comprehensive market revenues and is simplified using the synergistic effect of NESs and ESSs. Next, the simplified objective function is solved by the ADMM, and the revenues are maximized while each energy meets the relevant constraints. Lastly, the 33-node network topology is used to illustrate the feasibility of the proposed method. The simulation results show that after optimization, the output of NESs and ESSs can coordinate work in day-ahead, intraday, and real-time markets, while the abandonment power of wind and light is significantly improved.

Keywords: multiple time scales; NES; ESS; distributed optimization strategy; ADMM (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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