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基于多准则分区和WLS-PDIPM算法的有源配电网状态估计

马健 唐巍 徐升 张璐 刘科研 杨德昌

电力系统自动化2016,Vol.40Issue(12):28-36,9.
电力系统自动化2016,Vol.40Issue(12):28-36,9.DOI:10.7500/AEPS20151214009

基于多准则分区和WLS-PDIPM算法的有源配电网状态估计

State Estimation of Active Distribution Network Based on Multi-criteria Partition and WLS-PDIPM Algorithm

马健 1唐巍 1徐升 1张璐 1刘科研 2杨德昌1

作者信息

  • 1. 中国农业大学信息与电气工程学院,北京市 100083
  • 2. 中国电力科学研究院,北京市 100192
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摘要

Abstract

Owing to slow calculation speed and low accuracy of state estimation in unbalanced three-phase complex active distribution networks,a state estimation method based on multi-criteria partition and weighted least square-primal dual interior point method (WLS-PDIPM) hybrid algorithm is proposed.A multi-criteria optimal model is developed for state estimation in an active distribution network, in which the configuration of real-time measurement, virtual measurement and pseudo measurement are analyzed.The scale equilibrium,the measurement redundancy equilibrium and the average error pseudo measurement equilibrium of each sub-region after partition are also considered.The computation burden is reduced by the decoupling of sub-regions,which is achieved by the full measurement point of the advanced metering infrastructure(AMI).A WLS-PDIPM hybrid algorithm is used to solve the obj ective function of each sub-region after partition.This method combines the advantages of the basic weighted least squares (WLS) method and primal dual interior point method (PDIPM),based on which the'accuracy of the algorithm is improved and the computation time reduced.Simulation results show that the proposed method can achieve rational partition in an active power distribution network,while calculation speed and accuracy of the state estimation are largely improved.

关键词

有源配电网/状态估计/多准则分区/WLS-PDIPM混合算法/三相不平衡

Key words

active distribution network/state estimation/multi-criteria partition/weighted least square-primal dual interior point method (WLS-PDIPM) hybrid algorithm/unbalanced three-phase

引用本文复制引用

马健,唐巍,徐升,张璐,刘科研,杨德昌..基于多准则分区和WLS-PDIPM算法的有源配电网状态估计[J].电力系统自动化,2016,40(12):28-36,9.

基金项目

国家自然科学基金资助项目(51377162)。@@@@This work is supported by National Natural Science Foundation of China(No.51377162) (51377162)

电力系统自动化

OA北大核心CSCDCSTPCD

1000-1026

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