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A new multi-objective fuzzy-GA formulation for optimal placement and sizing of shunt FACTS controller
Affiliation:1. The Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran;2. School of Electrical and Computer Engineering, University of Tehran, North Kargar Ave., Tehran 14395-515, Iran;1. Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, Iran;2. Research Institute for Information and Communication Technology, Isfahan University of Technology, Isfahan, Iran;1. National Institute of Technology, Warangal, India;2. Department of Electrical Engineering, National Institute of Technology, Warangal, India
Abstract:The location and sizing of FACTS controllers for voltage stability enhancement is an important consideration for practical power systems. In this paper, a strategy for placement and sizing of shunt FACTS controller using Fuzzy logic and Real Coded Genetic Algorithm is proposed. A fuzzy performance index based on distance to saddle node bifurcation, voltage profile and capacity of shunt FACTS controller is proposed. The proposed technique can be used to find the most effective location and optimal size of the shunt FACTS devices. The proposed approach has been applied on IEEE 14-bus and IEEE 57-bus test systems. The application results are promising.
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