Dynamic voltage security constrained preventive control using particle swarm optimization

Yihong Wang, Shengwei Mei, Ka Wing Chan

Research output: Journal article publicationJournal articleAcademic researchpeer-review

3 Citations (Scopus)

Abstract

A particle swarm optimization (PSO) technique based novel approach for solving the dynamic voltage security constrained preventive control problem is proposed. Dynamic voltage security considered preventive control is to optimize generation rescheduling, generator terminal voltage and the setting of on-load tap changer (OLTC) to maintain voltage security with respect to single credible system contingency. In this method, in addition to the consideration of load dynamics, a heuristic integration index of the voltage deviations of selected load buses is used as the voltage stability performance index. This novel approach can handle different types of control variables, as well as forms of variables, either discrete or continuous. The proposed PSO-based approach is able to converge satisfactorily with high quality solutions. Simulation results using the Nordic 32 test system show the effectiveness of the proposed approach.
Original languageEnglish
Pages (from-to)1-6
Number of pages6
JournalDianli Xitong Zidonghua/Automation of Electric Power Systems
Volume32
Issue number12
Publication statusPublished - 25 Jun 2008

Keywords

  • Dynamic voltage security
  • Particle swarm optimization (PSO)
  • Performance index
  • Preventive control
  • Quasi-steady-state (QSS) time domain simulation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Energy Engineering and Power Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering

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