Hunan Electric Power ›› 2026, Vol. 46 ›› Issue (4): 69-78.doi: 10.3969/j.issn.1008-0198.2026.04.010

• Distribution Network and Using Energy Technology • Previous Articles     Next Articles

A Comprehensive Operational Flexibility Evaluation Method for Distribution Networks With High-Penetration Emerging Source-Load Integration

LI Shiwei1, ZHANG Hui1, WANG Xuli1, LING Ru1, CHENG Xiao1, ZHANG Changwen2, QIN Liang2   

  1. 1. Economic and Technical Research Institute, State Grid Anhui Electric Power Co., Ltd., Hefei 230022, China;
    2. School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China
  • Received:2026-04-07 Revised:2026-06-15 Online:2026-08-25 Published:2026-09-11

Abstract: To address the intensified net-load fluctuations, strengthened source-load uncertainty, and insufficient flexibility of distribution networks under high renewable energy penetration and the rapid development of emerging loads such as electric vehicle charging facilities, a comprehensive operational flexibility evaluation method for distribution networks is proposed. First, an evaluation index system consisting of four dimensions, namely economy, security, source-load matching, and fluctuation suppression, and 12 secondary indices is constructed. Second, Latin hypercube sampling is adopted to generate typical scenarios considering the uncertainties of renewable energy generation, output conventional load demand, and electric vehicle charging load, and the value of each index is calculated based on a source-grid-load-storage coordinated optimization model for distribution networks. Then, the combined weights are determined by the AHP-entropy weighting method, and TOPSIS is employed to realize the comprehensive evaluation and ranking of different operating schemes. A modified IEEE 33-bus system is used for case verification. The results indicate that the proposed method can comprehensively reflect the operational flexibility differences of distribution networks under high renewable energy and emerging load integration scenarios, and provide a quantitative basis for operating mode selection and flexibility resource allocation.

Key words: high renewable energy, flexibility evaluation, combined weighting method, TOPSIS, AC/DC hybrid distribution network

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