Single and Multi-Objective Optimization Algorithms

Kotb, R. and Ewais, A. M. and Hemeida, A. M. (2019) Single and Multi-Objective Optimization Algorithms. International Journal of Applied Energy Systems, 1 (2). pp. 77-84. ISSN 2636-3720

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Official URL: https://doi.org/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.

Item Type:	Article
Subjects:	Eurolib Press > Energy
Depositing User:	Managing Editor
Date Deposited:	27 Jun 2023 04:56
Last Modified:	26 Oct 2023 03:52
URI:	http://info.submit4journal.com/id/eprint/2141

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