Applications of PSO technique to optimal location and sizing of static var compensator

Siti, Amely Jumaat; Musirin, Ismail; Muhammad, Mutadha Othman; Moklis, Hazlie

doi:10.1109/isci.2012.6222688

Cited by 5 publications

(1 citation statement)

References 14 publications

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“…Jumaat et al in [21] has proposed PSO technique for optimal location and sizing of SVC for transmission loss minimization. Reference [22], highlights the merits of PSO by comparing the results of PSO with that obtained from artificial immune system in achieving the task of loss minimization along with the cost function. Modified PSO was used to optimize the location, and the rated value of SVC for increasing the loadability of the IEEE 30 bus system in [23].…”

Section: Introductionmentioning

confidence: 99%

PSO Based Optimal Location and Sizing of SVC for Novel Multiobjective Voltage Stability Analysis during N – 2 Line Contingency

Mangaiyarkarasi

Raja

2014

Archives of Electrical Engineering

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In this paper voltage stability is analysed based not only on the voltage deviations from the nominal values but also on the number of limit violating buses and severity of voltage limit violations. The expression of the actual state of the system as a numerical index like severity, aids the system operator in taking better security related decisions at control centres both during a period of contingency and also at a highly stressed operating condition. In contrary to conventional N – 1 contingency analysis, Northern Electric Reliability Council (NERC) recommends N – 2 line contingency analysis. The decision of the system operator to overcome the present contingency state of the system must blend harmoniously with the stability of the system. Hence the work presents a novel N – 2 contingency analysis based on the continuous severity function of the system. The study is performed on 4005 possible combinations of N – 2 contingency states for the practical Indian Utility 62 bus system. Static VAr Compensator is used to improve voltage profile during line contingencies. A multi- objective optimization with the objective of minimizing the voltage deviation and also the number of limit violating bus with optimal location and optimal sizing of SVC is achieved by Particle Swarm Optimization algorithm.

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Section: Introductionmentioning

confidence: 99%