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A two-stage dispatching optimization strategy for hybrid renewable energy system with low-carbon and sustainability in ancillary service market

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  • Ding, Yihong
  • Tan, Qinliang
  • Shan, Zijing
  • Han, Jian
  • Zhang, Yimei

Abstract

Benefit distribution of hybrid renewable energy system is related to the sustainability of its operation, and the distribution method of adjusting the share of power generation may affect its low-carbon effect. In order to investigate the method of benefit distribution that does not hinder renewable energy consumption, a two-stage dispatching model for hybrid wind-photovoltaic-thermal power system is established, and the ancillary service market is introduced to coordinate optimization. The first stage model aims at the equilibrium of power generation profits of power producers. Then in the second stage, the equilibrium profits are transformed into constraint, and the day-ahead dispatching model is constructed with the objective of minimizing comprehensive power purchase costs and maximizing renewable energy utilization after considering the balance of economy and social responsibility. The case study results are proved that the ancillary service market combined with profits guarantee constraint can optimize the benefit distribution of power producers without affecting the consumption of renewable energy as much as possible. The proposed strategy is more suitable for the areas where the power supply structure is still dominated by thermal power. Changes in dispatching results under different ancillary service prices are discussed, and management recommendations are put forward in the end.

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  • Ding, Yihong & Tan, Qinliang & Shan, Zijing & Han, Jian & Zhang, Yimei, 2023. "A two-stage dispatching optimization strategy for hybrid renewable energy system with low-carbon and sustainability in ancillary service market," Renewable Energy, Elsevier, vol. 207(C), pages 647-659.
    • Handle: RePEc:eee:renene:v:207:y:2023:i:c:p:647-659
    DOI: 10.1016/j.renene.2023.03.050
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    Cited by:

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    2. Zhu, Xiaoxun & Hu, Ming & Xue, Jinfei & Li, Yuxuan & Han, Zhonghe & Gao, Xiaoxia & Wang, Yu & Bao, Linlin, 2024. "Research on multi-time scale integrated energy scheduling optimization considering carbon constraints," Energy, Elsevier, vol. 302(C).
    3. Liqing Zhang & Chunzheng Tian & Zhiheng Li & Shuo Yin & Anbang Xie & Peng Wang & Yihong Ding, 2024. "The Impact of Participation Ratio and Bidding Strategies on New Energy’s Involvement in Electricity Spot Market Trading under Marketization Trends—An Empirical Analysis Based on Henan Province, China," Energies, MDPI, vol. 17(17), pages 1-17, September.
    4. Zheng, Xidong & Chen, Huangbin & Jin, Tao, 2024. "A new optimization approach considering demand response management and multistage energy storage: A novel perspective for Fujian Province," Renewable Energy, Elsevier, vol. 220(C).

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