Electric Power ›› 2022, Vol. 55 ›› Issue (12): 86-90,123.DOI: 10.11930/j.issn.1004-9649.202107006

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The Optimal Allocation Strategy of Pumped Storage for the Collaborative Operation with Wind/Solar Generation

SANG Linwei1, WEI Xuan1, XU Yinliang1, SUN Hongbin2   

  1. 1. Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518000, China;
    2. Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
  • Received:2021-07-05 Revised:2021-07-26 Published:2022-12-28
  • Supported by:
    This work is supported by Consultation and Evaluation Project of the Chinese Academy of Sciences (No.2021-JS01-B-011), Special Project of Basic Scientific Research Business Expenses of China Institute of Water Resources and Hydropower Research (No.SS0145C022021), and the National Key Research and Development Program of China (No.2018YFE0196000)

Abstract: Cross-regional transmission of large-scale renewable power generation is an inevitable requirement to deal with the reverse distribution characteristics of domestic wind/solar resources and load centers as well as to achieve carbon neutrality. However, the inherent randomness, intermittence, and volatility of wind/solar generation bring challenges to the transmission and accommodation of renewable power generation. Hydropower, which could serve as both the power source and energy storage, provides a solution for calming the fluctuation of renewable power generation, so as to improve the flexibility of wind-photovoltaic(PV)-hydropower hybrid energy system. Based on the wind-PV-pumped storage hybrid energy system, this paper proposes a capacity allocation method to quantify the effect of pumped storage on renewable power generation delivery, where the operation constraints, capacity constraints, water inflow/outflow constraints are considered. The planning model of minimizing the investment cost of pumped storage and meeting the requirements of each typical operating scenario is constructed and solved.

Key words: pumped storage, renewable energy, bundling and stable transmission, cluster analysis, capacity allocation