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Short-term peak-shaving scheduling of a hydropower-dominated hydro-wind-solar photovoltaic hybrid system considering a shared multienergy coupling transmission channel

Author

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  • Zhao, Hongye
  • Liao, Shengli
  • Ma, Xiangyu
  • Fang, Zhou
  • Cheng, Chuntian
  • Zhang, Zheng

Abstract

Hydropower-dominated hydro-wind-solar photovoltaic (PV) hybrid systems (HHWSHSs) are promising solutions for promoting the integration of wind and solar PV power (WSP). However, the characteristics of these systems, involving multiple-channel transmission and shared multienergy coupling transmission channels (TCs), pose significant challenges for hydropower plants and units, especially for short-term peak shaving (STPS) scheduling. In this paper, a peak-shaving framework is constructed to address the modeling challenge and optimization difficulty of HHWSHS, with the premise of adequate absorption of WSP. First, WSP plants that share the same TC are assumed to be an aggregated wind power plant (AWP) and an aggregated solar PV power plant (ASP), and kernel density estimation is adopted to quantify the forecast error distribution of the AWP and ASP. Then, to decrease the scale of the problem, a recombination strategy for hydropower units based on set theory is proposed to consolidate all hydropower units that share the same TC within a single plant into a virtual hydropower unit and further recouple the hydraulic and electrical transmission connections between virtual hydropower units. Finally, differentiated TC chance constraints are introduced to accurately compensate for the forecast errors of the AWP and ASP by fully exploiting the flexibility of hydropower, and the STPS scheduling model is cast as a mixed-integer linear programming (MILP) model that is computationally tractable. The feasibility and effectiveness of the proposed framework are verified for a real-world HHWSHS in Southwest China. The results indicate that hydropower can adequately leverage the regulation ability to effectively reduce the power curtailment rate by 4.41% and 8.29% by dynamically balancing WSP forecast errors during the wet and dry seasons, respectively.

Suggested Citation

  • Zhao, Hongye & Liao, Shengli & Ma, Xiangyu & Fang, Zhou & Cheng, Chuntian & Zhang, Zheng, 2024. "Short-term peak-shaving scheduling of a hydropower-dominated hydro-wind-solar photovoltaic hybrid system considering a shared multienergy coupling transmission channel," Applied Energy, Elsevier, vol. 372(C).
    • Handle: RePEc:eee:appene:v:372:y:2024:i:c:s0306261924011693
    DOI: 10.1016/j.apenergy.2024.123786
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