Multi-Objective Whale Optimization Algorithm for Optimal Integration of Multiple DGs into Distribution Systems

Abstract

In this paper, a multi-objective optimization technique using Whale Optimization Algorithm (MOWOA) is presented to optimally integrate multiple Distributed Generations (DGs) units into distribution systems. The optimization process is performed to simultaneously minimize the power losses, Voltage Deviation (VD), and maximize the Voltage Stability Index (VSI) of the radial distribution system. The optimal size and location of the DGs are achieved using a fuzzy logic decision making, where the three objective functions are normalized and represented by a certain membership function based on the decision maker preferences. Two standard IEEE 33-bus and IEEE 69-bus are used to demonstrate the feasibility of the MOWOA in allocating the DG units to reduce the losses and enhance the voltage profile. The MOWOA is carefully compared with the well-known Multi- Objective Particle Swarm Optimization (MOPSO) to verify its efficiency.