Optimal Power Flow in Microgrids using Genetic Algorithm

Intelligent algorithms are becoming more prevalent in the domain of optimization and optimal power flow (OPF). They possess inherent advantages such as the ability to avoid entrapment in the local minimum of the optimization problem and converge onto a global solution. This paper presents the use of genetic algorithm (GA) to the OPF problem in a local microgrid setup with regard to minimization of cost which includes the installation costs for the solar PV array and the battery storage.