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Fitness Sharing Particle Swarm Optimization Approach to FACTS Installation for Transmission System Loadability Enhancement
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 Title & Authors
Fitness Sharing Particle Swarm Optimization Approach to FACTS Installation for Transmission System Loadability Enhancement
Chang, Ya-Chin;
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 Abstract
Proper installation of Flexible AC Transmission Systems (FACTS) devices in existing transmission networks can enable power systems to accommodate more power transfer with less network expansion cost. The problem to maximize transmission system loadability by determining optimal locations and settings for installations of two types of FACTS devices, namely static var compensator (SVC) and thyristor controlled series compensator (TCSC), is formulated as a mixed discrete-continuous nonlinear optimization problem (MDCP). For solving the MDCP, in the paper, the proposed method with fitness sharing technique involved in the updating process of the particle swarm optimization (PSO) algorithm, can diversify the particles over the search regions as much as possible, making it possible to achieve the optimal solution with a big probability. The modified IEEE-14 bus network and a practical power system are used to validate the proposed method.
 Keywords
FACTS;Fitness sharing;MDCP;PSO;Security limits;System loadability;
 Language
English
 Cited by
1.
Maximization of Transmission System Loadability with Optimal FACTS Installation Strategy,;;

Journal of Electrical Engineering and Technology, 2013. vol.8. 5, pp.991-1001 crossref(new window)
1.
Maximization of Transmission System Loadability with Optimal FACTS Installation Strategy, Journal of Electrical Engineering and Technology, 2013, 8, 5, 991  crossref(new windwow)
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