中国电力 ›› 2025, Vol. 58 ›› Issue (9): 97-104.DOI: 10.11930/j.issn.1004-9649.202411003

• 新型电网 • 上一篇    下一篇

基于改进模因算法的含微网群的柔性配电网多目标优化控制

赵珊珊1(), 高菲1(), 李雅洁1(), 李建芳1(), 张瑜1(), 段祥骏1(), 董伟杰2   

  1. 1. 中国电力科学研究院有限公司,北京 100192
    2. 北京信息科技大学,北京 100192
  • 收稿日期:2024-11-04 发布日期:2025-09-26 出版日期:2025-09-28
  • 作者简介:
    赵珊珊(1986),女,硕士,高级工程师,从事分布式电源与微电网、智能配电网运行与控制研究,E-mail:644313759@qq.com
    高菲(1984),女,博士,高级工程师,从事配电网可靠性分析与优化控制研究,E-mail:gaofei@epri.         sgcc.com.com
  • 基金资助:
    中国电力科学研究院有限公司科技项目(B342PD210001)。

Multi-objective Optimization Control of Flexible Distribution Networks with Microgrid Clusters Based on Improved Memetic Algorithm

ZHAO Shanshan1(), Gao Fei1(), LI Yajie1(), LI Jianfang1(), ZHANG Yu1(), DUAN Xiangjun1(), DONG Weijie2   

  1. 1. China Electric Power Research Institute Co., Ltd., Beijing 100192, China
    2. Beijing Information Science and Technology University, Beijing 100192, China
  • Received:2024-11-04 Online:2025-09-26 Published:2025-09-28
  • Supported by:
    This work is supported by Science and Technology Project of China Electric Power Research Institute Co., Ltd. (No.B342PD210001).

摘要:

为充分发挥柔性开关(soft open point,SOP)协调控制分布式发电和电动汽车、储能等多样化微网群的作用,对含微网群的柔性配电网的协调优化控制策略进行了研究。分析了不同类型SOP接入发挥的功能和SOP的运行控制模式。综合考虑SOP接入后的削峰填谷、负载均衡作用及电网运行的经济性,建立了以日负荷方差、负载率方差和有功网损最小的多目标优化模型。考虑柔性配电网的复杂性,提出了改进模因算法进行多目标优化求解方法。仿真验证表明,所提优化模型可通过控制SOP实现降低网损和均衡负载的目的。

关键词: 柔性开关, 配电网, 多目标

Abstract:

To fully leverage the coordination control of the soft open point (SOP) for distributed power generation, electric vehicles, energy storage, and other diversified micro groups, this paper investigates the coordinated optimization control strategy for flexible distribution networks with microgrid groups. The functions of different types of SOP access and the operation control modes of S are analyzed. Considering the load balancing and peak-valley shifting effects of SOP access and the economy of power grid operation, a multi-objective optimization model with the minimization of load variance, load rate variance, and active power network loss is established. Considering the complexity of the flexible distribution network, an improved memetic algorithm is proposed to solve the multiobjective optimization problem. Through simulation verification, it can be known that the proposed optimization model can reduce network loss and balance load by controlling SOP.

Key words: soft open point, distribution network, multi-objective


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