Optimal Reactive Power Dispatch Using Improved Chaotic PSO Algorithm with the Wingbeat Frequency

Abstract The importance of reactive power to the economy and security systems cannot be overemphasized. For instance, Transmission losses increase when is unevenly distributed on transmission network; quality affected as well. cheapest way reducing these lines via dispatch approach. This study therefore proposes an Improved Chaotic Particle Swarm Optimization algorithm (ICPSO) with primary aim real line while adhering system constraints. Although traditional PSO has a fast convergence speed, it falls easily into local optimum slow at later stage convergence. ICPSO proposed in this research overcome shortcomings. approach combines chaotic map which increases particles’ diversity, allowing particles explore search region more; wingbeat frequency component helps sustain rate particles. MATPOWER 7.1 MATLAB 2019a environment was utilized for implementation. purported examined IEEE14 IEEE30 Test Beds respectively. When tried out bed, loss reduced from 13.393 MW 12.260 MW; whereas brought down 17.557 15.977 Bed. In terms losses, simulation results show that performs better compared other algorithms.