Journal of Research in Electrical Circuits and Systems ISSN: 3139-2059 (Online)

Abstract

Power electronics circuits are fundamental to modern energy conversion systems, including renewable energy, electric vehicles, motor drives, and industrial automation. These circuits require simultaneous optimization of multiple performance objectives, such as efficiency, thermal performance, switching losses, total harmonic distortion (THD), and cost. Multi-objective optimization (MOO) techniques provide systematic methods to achieve trade-offs between conflicting goals. This paper explores strategies for multi-objective optimization in power electronics circuits, including evolutionary algorithms, metaheuristic techniques, and machine learning-based approaches. Applications in inverter design, DC–DC converters, and motor drives are discussed. Tables summarize commonly used optimization algorithms, objectives, and performance comparisons, while a 2D block diagram illustrates a typical MOO framework in power electronics. Challenges, computational strategies, and future research directions are also highlighted.

Keywords: Multi-objective optimization, Power electronics, Evolutionary algorithms, DC–DC converters, Inverter design, Efficiency, Switching loss, Thermal performance