Hybrid Genetic Algorithm-Particle Swarm Optimization Based Approach for Optimal Sizing and Placement of a Passive Filter

Abstract This work presents a hybrid Genetic Algorithm-particle swarm optimization based technique for optimal placement and sizing of a passive power filters to reduce harmonics distortion and mitigate the total active power losses in distribution lines with linear and nonlinear loads. The problem was formulated as a nonlinear multi-objective optimization problem with equality and inequality constraints using hybrid Genetic Algorithm with practical swarm optimization. Recommendations by IEEE standards 519–1992 and 18-2002 are considered as the main constraints in this study. Based on the minimum total harmonic distortion and active power losses as the main optimization criteria the optimal solutions were selected. The proposed approach is validated on the IEEE 14 bus system and on a real power system. The results confirmed that proposed method provides robust, effective and high-quality solutions for large power systems.