Kotb, R., Ewais, A., Hemeida, A. (2019). Single and Multi-Objective Optimization Algorithms. test, 1(2), 77-84. doi: 10.21608/ijaes.2019.169954
R. M. Kotb; A. M. Ewais; A. M. Hemeida. "Single and Multi-Objective Optimization Algorithms". test, 1, 2, 2019, 77-84. doi: 10.21608/ijaes.2019.169954
Kotb, R., Ewais, A., Hemeida, A. (2019). 'Single and Multi-Objective Optimization Algorithms', test, 1(2), pp. 77-84. doi: 10.21608/ijaes.2019.169954
Kotb, R., Ewais, A., Hemeida, A. Single and Multi-Objective Optimization Algorithms. test, 2019; 1(2): 77-84. doi: 10.21608/ijaes.2019.169954

Single and Multi-Objective Optimization Algorithms

International Journal of Applied Energy Systems
Article 5, Volume 1, Issue 2, July 2019, Pages 77-84    PDF (1.93 M)
Document Type: Original papers
DOI: 10.21608/ijaes.2019.169954
Authors
R. M. Kotb1; A. M. Ewais2; A. M. Hemeida2
1Electrical Engineering Department Faculty of Energy Engineering, Aswan University, Aswan, Egypt
2Electrical Engineering Department Faculty of Energy Engineering, Aswan University Aswan, Egypt
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
Hybrid and multi optimization techniques; Multi optimization techniques; Single objective functions (OPF)
Statistics
Article View: 162
PDF Download: 198