An Improved Equilibrium Optimizer for Solving Optimal Power Flow Problem

Zhouxin Lan, Qing He, Hongzan Jiao and Liu Yang
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Zhouxin Lan: College of Big Data & Information Engineering, Guizhou University, Guiyang 550025, China
Qing He: College of Big Data & Information Engineering, Guizhou University, Guiyang 550025, China
Hongzan Jiao: Department of Urban Planning, School of Urban Design, Wuhan University, Wuhan 430072, China
Liu Yang: College of Architecture and Urban Planning, Guizhou University, Guiyang 550025, China

Sustainability, 2022, vol. 14, issue 9, 1-27

Abstract: With the rapid development of the economy, the quality of power systems has assumed an increasingly prominent influence on people’s daily lives. In this paper, an improved equilibrium optimizer (IEO) is proposed to solve the optimal power flow (OPF) problem. The algorithm uses the chaotic equilibrium pool to enhance the information interaction between individuals. In addition, a nonlinear dynamic generation mechanism is introduced to balance the global search and local development capabilities. At the same time, the improved algorithm uses the golden sine strategy to update the individual position and enhance the ability of the algorithm to jump out of local optimums. Sixteen benchmark test functions, Wilcoxon rank sum test and 30 CEC2014 complex test function optimization results show that the improved algorithm has better global searching ability than the basic equilibrium optimizer, as well as faster convergence and a more accurate solution than other improved equilibrium optimizers and metaheuristic algorithms. Finally, the improved algorithm is applied to the standard IEEE 30-bus test systems for different objectives. The obtained results demonstrate that the improved algorithm has better solutions than other algorithms in the literature for solving the optimal power flow problem.

Keywords: optimal power flow; equilibrium optimizer; chaotic equilibrium pool; nonlinear dynamic generation mechanism; golden sine strategy (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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