提高配电网状态估计精度的智能配电单元优化布点方法  

Optimization of Intelligent Distribution Unit Placement to Improve Accuracy of Distribution Network State Estimation

作　　者：徐航 鞠力 董树锋[1] 何仲潇 刘丁华 任雪桂 XU Hang1, JU Li2, DONG Shufeng1, HE Zhongxiao1, LIU Dinghua2, REN Xuegui2(1. College of Electrical Engineering, Zhejiang University, Hangzhou 310027, Zhejiang Province, China; 2. State Grid Beijing Electric Power Economy Research Institute, Xicheng District, Beijing 100032, Chin)

机构地区：[1]浙江大学电气工程学院,浙江省杭州市310027 [2]北京电力经济研究院,北京市西城区100032

出　　处：《电网技术》2018年第4期1210-1216,共7页Power System Technology

基　　金：国家863高技术基金项目(2014AA051901)~~

摘　　要：在主动配电网中,智能配电单元（intelligent distribution unit,IDU）的优化布点可有效提升状态估计精度,对掌握系统运行状况有重要意义。为减少状态估计误差,该文提出了一种在中高压配电网中的IDU优化布点方法。首先,基于PQ分解状态估计思想,实现雅各比矩阵的常数化。然后,在IDU配置个数有限的情况下,以最小化状态估计协方差矩阵对角元素之和为目标,利用离散粒子群算法（discrete particle swarm optimization,DPSO）对IDU进行优化布点。算例分析结果表明,IDU优化布点可有效减小混合量测系统的状态估计误差。In active distribution network, optimization of intelligent distribution unit（IDU） can efficiently improve accuracy of state estimation. It is of crucial significance when knowledge of system operation is desired. A method of optimal IDU placement in HV and MV distribution networks is proposed to reduce state estimation error. Firstly, all elements of Jacobian matrix are made constant based on P-Q decomposition. Then discrete particle swarm optimization（DPSO） is utilized to optimize IDU placement so that the sum of diagonal elements in the state covariance matrix are minimized with limited number of IDUs. Analytical results show that IDU optimization can effectively reduce state estimation error in hybrid measurement system.

关 键 词：状态估计 优化布点 智能配电单元 离散粒子群算法 

分 类 号：TM721[电气工程—电力系统及自动化]