Single and Multi-Objective Optimization Algorithms

Kotb, R. M.; Ewais, A. M.; Hemeida, A. M.

doi:10.21608/ijaes.2019.169954

Single and Multi-Objective Optimization Algorithms

Document Type : Original papers

Authors

¹ Electrical Engineering Department Faculty of Energy Engineering, Aswan University, Aswan, Egypt

² Electrical Engineering Department Faculty of Energy Engineering, Aswan University Aswan, Egypt

10.21608/ijaes.2019.169954

Abstract

Hybrid and multi optimization techniques are used extensively for solving optimal power flow problems. In this paper, particle swarm optimization (PSO), is incorporated with grey wolf optimization, (GWO) to form a hybrid algorithm called HPSOGWO and using the multi-objective optimization of this algorithm, which called MO-HPSOGWO, and comparing them. The HPSOGWO and MO-HP SOGWO are implemented to enhance the optimal power flow solution of the ieee-30 bus system. Five objective functions (OPF) optimizing separately by HPSOGWO and simultaneously in a single run by MO-HPSOGWO. Matlab software is used to solve the system.

Keywords