电子科技 ›› 2025, Vol. 38 ›› Issue (5): 1-7.doi: 10.16180/j.cnki.issn1007-7820.2025.05.001

• •    下一篇

考虑SOP与主动电压控制的有源配网两阶段随机规划

刘艾旺1(), 张明明1, 姚宝明1, 胡程平1, 姜振宇1, 张超1, 施云辉2   

  1. 1.国网浙江省电力有限公司 海盐县供电公司,浙江 嘉兴 314399
    2.浙江大学 电气工程学院,浙江 杭州 310027
  • 收稿日期:2023-10-16 修回日期:2023-11-12 出版日期:2025-05-15 发布日期:2025-05-14
  • 通讯作者: 刘艾旺 E-mail:385199092@qq.com
  • 作者简介:张明明(1990-),男,工程师。研究方向:配电网规划、方式计算。
  • 基金资助:
    国家自然科学基金(52007173)

Two-Stage Stochastic Programming of Active Distribution Network Considering SOP and Active Voltage Control

LIU Aiwang1(), ZHANG Mingming1, YAO Baoming1, HU Chengping1, JIANG Zhenyu1, ZHANG Chao1, SHI Yunhui2   

  1. 1. Haiyan County Power Supply Company,State Grid Zhejiang Electric Power Co., LTD.,Jiaxing 314399,China
    2. College of Electrical Engineering,Zhejiang University,Hangzhou 310027,China
  • Received:2023-10-16 Revised:2023-11-12 Online:2025-05-15 Published:2025-05-14
  • Contact: LIU Aiwang E-mail:385199092@qq.com
  • Supported by:
    National Natural Science Foundation of China(52007173)

摘要:

为解决配网对新能源承载力不足的问题,文中提出了一种考虑软开关(Soft Open Point, SOP)和负荷主动电压控制的联合规划模型和求解方法。建立应用于配电网规划的SOP数学模型,分别针对多项式形式和指数形式的负荷电压特性建立线性化模型。以分布式新能源承载力、投资成本和运行成本为目标,建立有源配网两阶段随机二阶锥规划模型,对SOP、电容器组以及分布式新能源等设备的选址定容及其日内运行策略做出决策。考虑新能源、负荷和能源价格的不确定性,提出了基于K均值的场景聚类方法,提出了基于信赖域法的Benders分解算法来求解所提模型。通过改进51节点系统验证了所提模型的有效性和正确性,并分析了SOP与主动电压控制对新能源承载力的影响。

关键词: 软开关, 主动电压控制, 负荷电压特性, 随机规划, 光伏承载力, 二阶锥规划, 信赖域, Benders分解

Abstract:

In order to solve the problem of insufficient carrying capacity of the distribution network for new energy, this study proposes a joint planning model and solution method considering SOP(Soft Open Point) and active load voltage control. The SOP mathematical model applied to distribution network planning is established, and the linear model is established for the load voltage characteristics in polynomial form and exponential form respectively. A two-stage stochastic second-order cone programming model for active distribution network is established with the objective of distributed new energy carrying capacity, investment cost and operation cost to determine the location, capacity and intraday operating strategy of devices including SOP, capacitors and distributed energy sources.Considering the uncertainty of new energy, load and energy price, a scene clustering method based on K-means is proposed. An improved Benders decomposition algorithm is proposed to solve the proposed model. The validity and correctness of the proposed model are verified by the improved 51-node system, and the influence of SOP and active voltage control on the carrying capacity of new energy is analyzed.

Key words: soft switching, active voltage control, load voltage characteristics, random programming, photovoltaic bearing capacity, second-order cone programming, trusted region method, Benders decomposition

中图分类号: 

  • TP202