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Loadability of power systems and optimal SVC placement


Huang, JS and Jiang, ZH and Negnevitsky, M, Loadability of power systems and optimal SVC placement, International Journal of Electrical Power and Energy Systems, 45, (1) pp. 167-174. ISSN 0142-0615 (2013) [Refereed Article]

Copyright Statement

Copyright 2012 Elsevier Ltd.

DOI: doi:10.1016/j.ijepes.2012.08.064


This paper investigates the loadability of power systems. A voltage stability assessment is performed using the worst-case reactive power margin as an index. In addition, the influence of active power load increment on the voltage stability assessment is also examined. Based on these results, a messy geneticalgorithm optimization scheme is proposed for optimal static VAR compensator (SVC) placement aimed at the voltage stability enhancement of power systems under the most critical operation conditions. The SVC planning is formulated as a multi-objective optimization problem in terms of the maximum worstcase reactive power margin, highest load voltages towards the critical operating points, minimum real power losses, and lowest SVC device costs. During the genetic algorithm search for the optimal solution, the most critical disturbance scenario is estimated using each SVC placement and the configuration of the original power system. The candidate solution thereby obtained is further checked against the N - 1 security criterion.

Item Details

Item Type:Refereed Article
Keywords:SVC placement, worst-case reactive power margin, N - 1 security criterion, messy genetic algorithm, Lagrange multiplier method, fuzzy logic performance index
Research Division:Engineering
Research Group:Electrical engineering
Research Field:Electrical energy generation (incl. renewables, excl. photovoltaics)
Objective Division:Energy
Objective Group:Energy storage, distribution and supply
Objective Field:Energy systems and analysis
UTAS Author:Negnevitsky, M (Professor Michael Negnevitsky)
ID Code:88415
Year Published:2013
Web of Science® Times Cited:18
Deposited By:Engineering
Deposited On:2014-01-31
Last Modified:2017-11-06
Downloads:4 View Download Statistics

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