Review of Metaheuristic Optimization Algorithms for Power Systems Problems

Ahmed M. Nassef (), Mohammad Ali Abdelkareem, Hussein M. Maghrabie and Ahmad Baroutaji
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Ahmed M. Nassef: Department of Electrical Engineering, College of Engineering in Wadi Alddawasir, Prince Sattam Bin Abdulaziz University, Wadi Alddawasir 11991, Saudi Arabia
Mohammad Ali Abdelkareem: Department of Sustainable and Renewable Energy Engineering, University of Sharjah, Sharjah P.O. Box 27272, United Arab Emirates
Hussein M. Maghrabie: Faculty of Engineering, South Valley University, Qena 83523, Egypt
Ahmad Baroutaji: School of Engineering and Applied Science, Aston University, Aston Triangle, Birmingham B4 7ET, UK

Sustainability, 2023, vol. 15, issue 12, 1-27

Abstract: Metaheuristic optimization algorithms are tools based on mathematical concepts that are used to solve complicated optimization issues. These algorithms are intended to locate or develop a sufficiently good solution to an optimization issue, particularly when information is sparse or inaccurate or computer capability is restricted. Power systems play a crucial role in promoting environmental sustainability by reducing greenhouse gas emissions and supporting renewable energy sources. Using metaheuristics to optimize the performance of modern power systems is an attractive topic. This research paper investigates the applicability of several metaheuristic optimization algorithms to power system challenges. Firstly, this paper reviews the fundamental concepts of metaheuristic optimization algorithms. Then, six problems regarding the power systems are presented and discussed. These problems are optimizing the power flow in transmission and distribution networks, optimizing the reactive power dispatching, optimizing the combined economic and emission dispatching, optimal Volt/Var controlling in the distribution power systems, and optimizing the size and placement of DGs. A list of several used metaheuristic optimization algorithms is presented and discussed. The relevant results approved the ability of the metaheuristic optimization algorithm to solve the power system problems effectively. This, in particular, explains their wide deployment in this field.

Keywords: metaheuristic; optimization; power systems; transmission networks; power dispatching; emission dispatching; distribution power network; distributed generations (DGs) (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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