湖南电力 ›› 2026, Vol. 46 ›› Issue (4): 69-78.doi: 10.3969/j.issn.1008-0198.2026.04.010

• 配电网与用能技术 • 上一篇    下一篇

含高比例新型源荷的配电网运行灵活性综合评价方法

李诗伟1, 张辉1, 王绪利1, 凌孺1, 程啸1, 张长文2, 秦亮2   

  1. 1.国网安徽省电力有限公司经济技术研究院,安徽 合肥 230022;
    2.武汉大学电气与自动化学院,湖北 武汉 430072
  • 收稿日期:2026-04-07 修回日期:2026-06-15 出版日期:2026-08-25 发布日期:2026-09-11
  • 通信作者: 张长文(2001),男,博士,从事交直流配电网规划、运行优化与评估等研究工作。
  • 作者简介:李诗伟(1996),女,工程师,从事配电网规划与运行、新能源并网灵活性评估等研究工作。
  • 基金资助:
    国网安徽省电力有限公司科技项目(B3120924000H)

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

摘要: 针对高比例新能源接入及充电桩等新型负荷快速发展条件下,配电网净负荷波动加剧、源荷不确定性增强及灵活性不足等问题,提出一种配电网运行灵活性综合评价方法。首先,从经济性、安全性、源荷匹配性和波动抑制性4个维度构建包含12项二级指标的评价体系;其次,采用拉丁超立方抽样生成计及新能源出力、常规负荷和电动汽车充电负荷不确定性的典型场景,并结合配电网源-网-荷-储协同优化模型计算各项指标值;然后,利用层次分析法和熵权法确定组合权重,采用逼近理想解排序法(TOPSIS)实现不同运行方案的综合评价与排序。以改进IEEE 33节点系统为例进行验证,结果说明,所提方法能够较全面地反映高比例新能源与新型负荷接入场景下配电网运行灵活性差异,为运行方式比选和灵活性资源配置提供量化依据。

关键词: 高比例新能源, 灵活性评价, 组合赋权, TOPSIS, 交直流混合配电网

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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