An effective Honey Badger Algorithm based Multi-Objective Optimal Allocation of Electric Vehicle Charging Stations in Radial Distribution Systems

Abstract

Objectives: To solve the multi-objective optimization problem in Radial Distribution Systems (RDS) using intelligent computational algorithm. The proposed work considers the recently developed Electric Vehicle Charging Stations (EVCSs) to minimize the network loss, reduce the Average Voltage Deviation Index (AVDI) and improve the Voltage Stability Index (VSI) of RDS. Methods: A new and novel optimization method of Honey Badger Algorithm (HBA) is proposed to solve the multi objective optimization problem. HBA is divided into two phases such as digging phase and honey phase, which are efficiently determining the optimal location and required value of EVCSs. The MATLAB 14.0 software is sued to implement the HBA methodology. The control parameters HBA such as population size is 40 and number of iteration is 200 iterations Findings: The power loss minimization of proposed test system is 48.82% improved when compared with base case method and 2.5 % improved than the other existing methods viz. Particle Swam Optimization (PSO), Flower Pollination Algorithm (FPA), Cuckoo Search Algorithm (CSA) and Teaching Learning Based (TLBO). Similarly, the Average Voltage Deviation Index is 43.42% improved when compared with base case method and 1.2 % improved than the other existing methods. Novelty: The proposed HBA effectively improves performance of RDS under increased loading conditions by tuning of the best location and optimal size of the EVCSs. Keywords: Radial distribution system, Electric Vehicles, Charging Stations, Voltage stability, Power loss and Honey Badger algorithm