湖南电力 ›› 2025, Vol. 45 ›› Issue (3): 9-17.doi: 10.3969/j.issn.1008-0198.2025.03.002

• 专家专栏:新能源技术发展与应用 • 上一篇    下一篇

考虑新能源消纳和电压偏差的配电网拓扑结构重构方法研究

王宣元1, 李奇2, 王泽森2, 刘建涛3, 孙知博3   

  1. 1.国网冀北电力有限公司,北京 100052;
    2.国网冀北电力有限公司电力科学研究院,北京 100045;
    3.中国电力科学研究院有限公司,江苏 南京 210003
  • 收稿日期:2024-10-14 修回日期:2024-12-12 发布日期:2025-07-02
  • 通信作者: 刘建涛(1986),男,硕士,高级工程师,从事电力系统调度自动化方向研究工作。
  • 作者简介:王宣元(1979),女,博士,正高级工程师,从事电网调度运行、新能源并网与消纳研究工作。李奇(1997),女,硕士,工程师,从事新能源技术研究工作。王泽森(1989),男,博士,高级工程师,从事新能源技术研究工作。孙知博(1995),男,硕士,助理工程师,从事电力系统调度自动化方向研究工作。
  • 基金资助:
    国网冀北电力有限公司科技重点工作成本项目(B3018K230020)

Research on Distribution Network Topology Reconfiguration Method Considering New Energy Consumption and Voltage Deviation

WANG Xuanyuan1, Li Qi2, WANG Zesen2, LiU Jiantao3, SUN Zhibo3   

  1. 1. State Grid Jibei Electric Power Company Limited, Beijing 100052, China;
    2. State Grid Jibei Electric Power Company Limited Research institute, Beijing 100045, China;
    3. China Electric Power Research institute Company Limited, Nanjing 210003, China
  • Received:2024-10-14 Revised:2024-12-12 Published:2025-07-02

摘要: 针对新能源的消纳对配电网运行产生的不利影响,提出一种考虑新能源消纳和电压偏差的配电网拓扑结构重构方法,以实现两者之间的平衡协调。首先,采用基于场景相似度的场景削减技术获取具有代表性的新能源功率样本;其次,建立一种以优化新能源消纳量和配电网节点电压偏差的多目标随机优化重构的数学模型;再次,采用一种基于近端策略优化算法指导的多目标粒子群算法对相应的帕累托解集进行高效搜索;最后,应用优劣距离决策方法,均衡考虑反映风电消纳量与电压偏差之间的折中关系并选择最终重构方案。以改进的iEEE-33节点配电网作为测试对象,测试结果验证了所提方法的有效性。

关键词: 新能源, 配电网, 电压偏差, 优化计算, 决策

Abstract: Aiming at the impact of new energy consumption on distribution operation, a distribution network topology reconfiguration method considering both new energy consumption and voltage deviation is proposed to realize the balance and coordination between the two. Firstly, a scenario reduction technique based on scenario similarity is used to obtain representative new energy power samples. Then, a multi-objective stochastic optimization reconfiguration mathematical model is established to optimize the amount of new energy consumption and the voltage deviation at distribution network nodes. Subsequently, a multi-objective particle swarm algorithm guided by a proximal strategy optimization algorithm is employed to efficiently search for the corresponding Pareto solution set. Finally, the technique for order of preference by similarity to ideal solution decision method is applied to balance the trade-off between wind power consumption and voltage deviation and select the final reconfiguration scheme. The improved IEEE-33 node distribution network is used as the test object, and the experimental results verify the effectiveness of the proposed method.

Key words: new energy, distribution network, voltage deviation, optimization calculation, decision-making

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