基于熵权理想度排序法的配电网PMU多目标优化配置
Multi-Objective Optimal Placement of PMU in Distribution Networks Based on Entropy Weight Ideal Ranking Method
陈浩宇 1林俊杰 1江昌旭 1涂明权 1林铮 1卢玥君1
作者信息
- 1. 福州大学电气工程与自动化学院,福建福州 310108
- 折叠
摘要
配电网同步相量测量单元(PMU)可以提供带有时标的高精度量测数据,配电网PMU线性状态估计高准确性和实时性的特点可以满足新型配电网的要求.该文重点研究了PMU配置成本与基于配电网PMU状态估计性能之间的权衡关系,提出了一种基于NSGA-Ⅱ和熵权理想度排序法的多目标PMU优化配置方法,PMU优化配置的目标函数为最小化PMU配置成本和最小化PMU状态估计精度,约束条件考虑了PMU因发生意外事故而中断的情况,以应对因故障造成的量测不足的问题.基于NSGA-Ⅱ算法和熵权理想度排序法,从Pareto解集中筛选出权衡多目标的最优解.算例表明,所提算法能得到权衡PMU配置成本和状态估计精度的最优解.
Abstract
Synchronous phasor measurement unit(PMU)of distribution networks provides high-precision measurement data with time scale,and the characteristics of high accuracy and real-time based on linear state estimation of distribution network PMU can meet the requirements of new distribution networks.This paper focuses on the trade-off relationship between PMU configuration cost and PMU state estimation performance based on distribution networks,and puts forward a multi-objective PMU optimal configuration method based on NSGA-Ⅱ and entropy weight ideal ranking method.The objective function of PMU optimal configuration serves to minimize PMU placement cost and minimize PMU state estimation accuracy,and the constraint condition considers the interruption of PMU due to accidents to deal with the problem of insufficient measurement caused by faults.Based on NSGA-Ⅱ algorithm and entropy-weighted ideal ranking method,the optimal solution to balance the multi-objectives is selected from Pareto solution set.An example shows that the proposed algorithm can get the optimal solution to balance the PMU placement cost and state estimation accuracy.
关键词
配电网/PMU优化配置/NSGA-Ⅱ/状态估计/熵权理想度排序法Key words
distribution network/optimal placement of PMU/NSGA-Ⅱ/state estimation/entropy weight ideal ranking method引用本文复制引用
基金项目
福建省自然科学基金项目(2021J05134)
出版年
2024
NETL
NSTL
万方数据