Optimal power flow of power networks with penetration of renewable energy sources by harris hawks optimization method

Abstract

This article describes a new approach of using the harris hawks optimization (HHO) for the solution of the optimal power flow (OPF) problem. The main objective is to reach the minimum generators' fuel cost satisfying the limitations of the networks. First, an optimal siting of photovoltaic (PV) generators and/or wind generators for the studied systems is performed. Then, different OPF problem scenarios are performed with the penetration of renewable energy sources. The active power produced by the generators is the problem search space. The employment of the HHO algorithm led to better results of the OPF problem. The IEEE 57-, and 118-bus test systems are used to check the validity of the presented algorithm. Simulations of different scenarios are implemented on these two test systems. Variable daily load curves are considered. The results verified that the HHO is superior to the genetic algorithm in solving OPF problem considering various scenarios.