电力系统自动化2018，Vol.42Issue(6)：40-46,97,8.DOI:10.7500/AEPS20170905003
基于Forney式因子图的主动配电网状态估计
State Estimation of Active Distribution Network Based on Forney-type Factor Graph
卢锦玲 1李伟光 1孙辰军2
作者信息
- 1. 华北电力大学电气与电子工程学院,河北省保定市071003
- 2. 国网河北省电力有限公司,河北省石家庄市050022
- 折叠
摘要
Abstract
Real-time and accurate operation data are the basis of online operation analysis and intelligent control management of active distribution network.In order to solve the problem that the estimation result of the distribution network is not ideal by the insufficient of real-time measurement,a state estimation method of active distribution network based on Forney-type factor graph is proposed according to the belief propagation(BP)algorithm in the communication field.Considering the measurement scarcity of specific users and the randomness of distributed generator under the influence of climate,a priori distribution is firstly obtained through the historical load curve to establish a statistical Forney-type factor graph model,in which the irradiance and wind speed for the distribution network are taken into account.Then,the BP algorithm is used to globally reason the bidirectional local confidence and state information of variable nodes and factor nodes to obtain the edge distribution of each state variable.Through the simulation of the 11-node distribution network system in a certain area and IEEE 33-node distribution network system,the results show that the proposed method has good real-time performance and better estimation results under the condition of insufficient real-time measurement.关键词
主动配电网/状态估计/因子图/置信传播Key words
active distribution network/state estimation/factor graph/belief propagation引用本文复制引用
卢锦玲,李伟光,孙辰军..基于Forney式因子图的主动配电网状态估计[J].电力系统自动化,2018,42(6):40-46,97,8.
