电气工程学报 ›› 2023, Vol. 18 ›› Issue (4): 239-250.doi: 10.11985/2023.04.026

• 电力系统 • 上一篇    下一篇

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基于功率损失指数的配电网无功补偿装置两阶段多目标优化配置方法研究*

郭挺1(), 陈中豪1(), 徐良德1(), 杨帆2()   

  1. 1.广东电网有限责任公司广州供电局 广州 510600
    2.广州电力设计院有限公司 广州 510610
  • 收稿日期:2022-11-13 修回日期:2023-07-21 出版日期:2023-12-25 发布日期:2024-01-12
  • 作者简介:郭挺,男,1987年生,硕士,高级工程师。主要研究方向为电力系统规划。E-mail:2224195389@qq.com
    陈中豪,男,1985年生,硕士,工程师。主要研究方向为电力系统规划。E-mail:barajachen@126.com
    徐良德,男,1989年生,硕士,工程师。主要研究方向为电力系统规划。E-mail:xld1130@126.com
    杨帆,男,1987年生,硕士,高级工程师。主要研究方向为电力系统规划设计。E-mail:yangfan_k@qq.com
  • 基金资助:
    *国家重点研发计划资助项目(2022YFF0610601)

Research on the Two-stage Multi-objective Optimal Configuration Method of Reactive Power Compensation Devices in Power Grid Based on Power Loss Index

GUO Ting1(), CHEN Zhonghao1(), XU Liangde1(), YANG Fan2()   

  1. 1. Guangzhou Power Supply Bureau of Guangdong Power Grid Co., Ltd., Guangzhou 510600
    2. Guangzhou Electric Power Design Institute Co., Ltd., Guangzhou 510610
  • Received:2022-11-13 Revised:2023-07-21 Online:2023-12-25 Published:2024-01-12

摘要:

开展了计及功率损失指数的两阶段无功补偿多目标优化配置方法的研究,以解决目前配网无功优化问题求解时效不佳,且容易陷入局部最优解的问题。以有功损耗、无功补偿装置购买费用、安装费用以及运行费用最小化为综合目标函数,引入罚函数建立基于功率损失指数的两阶段无功补偿装置配置多目标优化模型,应用鮣鱼优化算法求解带约束条件优化问题,获得无功补偿装置的最佳安装位置和容量,通过在IEEE-34和PG-69系统中的仿真算例验证了所提方法的性能。仿真结果表明,考虑功率损失指数,可进一步有效降低网络损耗、提高节点电压分布水平、降低设备成本费用,同时缩短优化问题求解时间。此外,所采用的鮣鱼优化算法具有更强的全局最优解搜索能力,可以更好地适应配电网负荷水平的变化及分布式电源的接入。

关键词: 无功补偿, 优化配置, 功率损失指数, 罚函数, 鮣鱼优化算法

Abstract:

In view of the fact that the current distribution network reactive power configuration optimization problem has poor solution efficiency and is easily trapped into local optimum, a study on the multi-objective optimal configuration of two-stage reactive power compensation considering power loss indices is carried out. A multi-objective optimal configuration model for two-stage reactive power compensation devices in power grids based on the power loss index is developed with the objective functions of minimizing loss cost, purchase cost, installation cost, and operation cost, and introducing penalty functions to solve the optimal installation location and capacity of reactive power compensation devices in power grids under constrained conditions using the remora optimization algorithm. The proposed method is validated by simulations carried out on IEEE-34 and PG-69 systems. The simulation results show that by considering the power loss index, it can effectively further reduce the network losses, improve the node voltage distribution level, and reduce the equipment cost and expense, while shortening the solution time of the optimization problem. In addition, the remora optimization algorithm used has a stronger global optimal solution search capability, which can better adapt to changes in the distribution network load level and the access of distributed power sources.

Key words: Reactive power compensation, optimal allocation, power loss index, penalty function, remora optimization algorithm

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