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Optimal SVC placement for voltage stability enhancement of power systems under critical operation conditions

Citation

Huang, JS and Negnevitsky, M, Optimal SVC placement for voltage stability enhancement of power systems under critical operation conditions, International Journal of Power and Energy Systems, 31, (3) pp. 145-153. ISSN 1710-2243 (2011) [Refereed Article]


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Copyright Statement

Copyright 2011 ACTA Press.

DOI: doi:10.2316/Journal.203.2011.3.203-4200

Abstract

This paper presents a messy genetic-algorithm-based optimization scheme for placement of static VAR compensators (SVCs), aimed at voltage stability enhancement of power systems under critical operation conditions. The SVC planning was formulated as a multi- objective optimization problem in terms of maximum worst-case reactive power margin, highest load voltages towards the critical operating points, minimum real power losses and lowest costs of SVC devices. During the genetic algorithm search for the optimal solution, the most critical disturbance scenario was estimated with the configuration of the original power system and each candidate of the SVC placement. The approximation can greatly simplify the SVC planning. By employing a fuzzy performance index, the multi- objective optimization was further transformed into a constrained problem with a single objective function.

Item Details

Item Type:Refereed Article
Keywords:voltage stability enhancement, critical disturbance scenario, multi-objective optimization, messy genetic algorithm, Lagrange multiplier method, fuzzy logic performance index
Research Division:Engineering
Research Group:Electrical and Electronic Engineering
Research Field:Power and Energy Systems Engineering (excl. Renewable Power)
Objective Division:Energy
Objective Group:Energy Transformation
Objective Field:Energy Transformation not elsewhere classified
Author:Negnevitsky, M (Professor Michael Negnevitsky)
ID Code:75311
Year Published:2011
Deposited By:Centre for Renewable Power Energy Systems
Deposited On:2012-01-23
Last Modified:2012-10-23
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