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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Suwei Zhai & Wenyun Li & Chao Zheng & Weixin Wang, 2024. "Distributed Optimization Strategy for New Energy Stations and Energy Storage Stations Considering Multiple Time Scales," Energies, MDPI, vol. 17(19), pages 1-13, October.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:19:p:4923-:d:1490676
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    References listed on IDEAS

    as
    1. Tan, Caixia & Tan, Zhongfu & Yin, Zhe & Wang, Yujie & Geng, Shiping & Pu, Lei, 2023. "Study on grid price mechanism of new energy power stations considering market environment," Renewable Energy, Elsevier, vol. 203(C), pages 177-193.
    2. Ju, Liwei & Bai, Xiping & Li, Gen & Gan, Wei & Qi, Xin & Ye, Fan, 2024. "Two-stage robust transaction optimization model and benefit allocation strategy for new energy power stations with shared energy storage considering green certificate and virtual energy storage mode," Applied Energy, Elsevier, vol. 362(C).
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