Optimization of shunt reactor design using evolutionary algorithms: PSO and DE

• Published in: Electrical engineering Vol. 107; no. 5; pp. 5849 - 5859
• Main Authors: Ascencion-Mestiza, Hector, Maximov, Serguei, Olivares-Galvan, Juan C., Ocon-Valdez, Rodrigo, Mezura-Montes, Efrén, Escarela-Perez, Rafael
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.05.2025; Springer Nature B.V
• Subjects: Design optimization; Economics and Management; Electrical Engineering; Electrical Machines and Networks; Energy Policy; Engineering; Evolutionary algorithms; Evolutionary computation; Finite element analysis; Flexibility; Genetic algorithms; Heuristic methods; Manufacturers; Manufacturing; Methods; Original Paper; Particle swarm optimization; Performance evaluation; Power Electronics; Reactor design; Reactors; Shunt reactors; Loss evaluation; Total ownership cost (TOC); Particle swarm optimization (PSO); Shunt reactor (SR); Optimization; Differential evolution (DE)
• ISSN: 0948-7921; 1432-0487
• DOI: 10.1007/s00202-024-02838-2

In this paper, two well-known metaheuristic algorithms are proposed to optimize the design of a 50-MVAr, 400/ 3 kV, 60- Hz core type shunt reactor. The overall objective of this study is to evaluate the performance and flexibility of particle swarm optimization (PSO) and differential evolution (DE) algorithms in the design of shunt reactors. The goal is to minimize material costs while considering the expected cost of losses, all to achieve maximum efficiency meeting relevant specifications and standards. The PSO and DE results demonstrate a reduction in total ownership cost of 3.34 and 5.55 %, respectively, compared to a prototype developed by a national manufacturer through trial and error and tested in the laboratory. Finally, the developed computational program is evaluated by performing various calculations based on the estimated cost of losses (USD/kW). The application of PSO and DE algorithms to the design of shunt reactors shows promising results, providing more efficient solutions in terms of cost and time. These solutions ensure compliance with current regulations and provide flexibility to optimize the design to specific grid efficiency requirements.