Optimal Capacitor Placement in Radial Distribution Systems Using Grasshopper Optimization for Power Loss and Energy Cost Minimization

摘要

This paper applies the Grasshopper Optimization Algorithm (GOA), as a new approach to determine the optimal capacitor placement in radial distribution systems. The objective function is adapted to minimize both of power loss and energy cost. GOA is inspired from grasshoppers swarm motion. The grasshoppers can fly individually (which emulate the local searching in optimization techniques) or in swarm (which emulate the exploration of optimization techniques). The developed algorithm is validated based on different standard distribution systems such as 33-bus, 69-bus, and 85-bus test systems. However, the obtained results are compared with other algorithms to highlight the advantages of the developed approach. Numerical results stated that the GOA can generate optimal solutions for losses reduction and capacitor locations with quality better than many existing algorithms.