State Estimation of Active Distribution Network Based on Forney-type Factor Graph

被引：0
|
作者：
Lu J. [1 ]
Li W. [1 ]
Sun C. [2 ]
机构：
[1] School of Electrical & Electronic Engineering, North China Electric Power University, Baoding
[2] State Grid Hebei Electric Power Supply Co. Ltd., Shijiazhuang
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2018年 / 42卷 / 06期
关键词：
Active distribution network; Belief propagation; Factor graph; State estimation;
D O I：
10.7500/AEPS20170905003
中图分类号：
学科分类号：
摘要：
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 which takes into account the irradiance and wind speed for the distribution network. 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. © 2018 Automation of Electric Power Systems Press.
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页码：40 / 46and97
页数：4657
相关论文
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