Power System Optimization using an Adaptive Fuzzy Campus Placement based Optimization Algorithm

Abstract

The use of optimization tools in complex problems is becoming increasingly crucial to overcome the challenging task of achieving efficient results. The Novel Adaptive Fuzzy Campus Placement based Optimization Algorithm (AFCPOA) is a new method for solving optimization problems that is based on campus recruiting process used in universities. In this study, two power system optimization problems, namely, Economic Load Dispatch (ELD) and Optimal Power Flow (OPF) have been tested on IEEE 30 bus test system. The main objective of ELD is scheduling generation units to lower costs while meeting system constraints, whereas OPF decides how to dispatch generating units to meet the demand for power at the lowest possible cost. The proposed method (AFCPOA) is applied on 16 Congress on Evolutionary Computation (CEC) benchmark test functions for validation and subsequently applied to two power system optimization problems ELD and OPF under MATLAB environment. The proposed AFCPOA method shows significant improvement in results compared with other methods for optimization problems.