Optimal PMU placement for voltage control

Chunxue Zhang, Youwei Jia, Zhao Xu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)

Abstract

This paper deals with the optimal phasor measurement unit (PMU) placement problem. In large power system, it is costly to place too many PMUs to achieve real time global observability. In fact, system state can be well estimated by optimally placed limited PMUs' synchronous measurements. Based on the method of voltage control area division, a spectral clustering approach is proposed to divide the network into several zones. Probabilistic Load Flow (PLF) is implemented in the meantime to consider many uncertain scenarios of system operation. In this way, the voltage variation of buses in the same zone can possess close coherency under various operation conditions. Consequently, placing PMUs on the best voltage representative locations, namely central buses of each zone in spectral clustering can improve the voltage observability and controllability while effectively reducing the number of PMUs. Case studies on IEEE 14 bus and 39 bus system are presented.
Original languageEnglish
Title of host publication2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016
PublisherIEEE
Pages747-751
Number of pages5
ISBN (Electronic)9781509040759
DOIs
Publication statusPublished - 8 Dec 2016
Event7th IEEE International Conference on Smart Grid Communications, SmartGridComm 2016 - Sydney, Australia
Duration: 6 Nov 20169 Nov 2016

Conference

Conference7th IEEE International Conference on Smart Grid Communications, SmartGridComm 2016
Country/TerritoryAustralia
CitySydney
Period6/11/169/11/16

Keywords

  • Phasor measurement unit (PMU) placement
  • probabilistic load flow (PLF)
  • spectral clustering
  • voltage control

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Control and Optimization
  • Signal Processing

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