A Music Based Harmony Search (MBHS) Approach to Optimal Power Flow with Reactive Power Loss Optimization

Abstract

This paper presents a new optimization algorithm, Music Based Harmony Search (MBHS) applied to the Optimal Power flow (OPF) problem with line constraints for minimizing the Fuel costs together with Generator Reactive power losses. The proposed method is compared with other optimization techniques like Simple Genetic Algorithm (SGA), Adaptive Genetic Algorithm (AGA) and Particle Swarm Optimization (PSO) to prove its supremacy. The algorithm is tested on a standard IEEE 30 bus test bed and numerous analyses viz., the effect on taps; shunt reactors etc., with different MBHS parameters are demonstrated. It is found that MBHS offers a computationally faster (75.83 times) and robust solution for OPF problem.