Deriving long-term operating rules of the hydro-wind-PV hybrid energy system considering electricity price

To integrate large-scale variable renewables into the power grid, the complementary operation of multiple energy sources such as hydropower, wind, and solar photovoltaic is favored worldwide. However, it is challenging to derive long-term operating rules of the hydro-wind-PV system (HWPES) in the el...

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Veröffentlicht in:Renewable energy 2023-12, Vol.219, p.119353, Article 119353
Hauptverfasser: Xu, Shitian, Liu, Pan, Li, Xiao, Cheng, Qian, Liu, Zheyuan
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Sprache:eng
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Zusammenfassung:To integrate large-scale variable renewables into the power grid, the complementary operation of multiple energy sources such as hydropower, wind, and solar photovoltaic is favored worldwide. However, it is challenging to derive long-term operating rules of the hydro-wind-PV system (HWPES) in the electricity market because of the difficulty of accurately estimating the benefit and the power curtailment occurs in the short-term. To address this issue, an operating model of the HWPES was established by considering long-term electricity prices simulated with a short-term model. Then operating rules were derived with the benefit objective. Jinping I HWPES in Yalongjiang River of China was selected as a case study. Results indicate that the relationship between available energy and reservoir storage is suitable to form operating rules for both benefit-maximization and generation-maximization schemes. The operating rules from March to June are significantly different influenced by electricity prices. Compared with the conventional scheme, the power generation and benefit were improved by 0.31 billion kWh (1.50%) and CNY 0.098 billion (2.02%) for the benefit-maximization scheme, while improved by 0.44 billion kWh (2.10%) and CNY 0.026 billion (0.53%) for the generation-maximization scheme. Therefore, the proposed method is effective to guide hybrid system operations in the power market.
ISSN:0960-1481
1879-0682
DOI:10.1016/j.renene.2023.119353