(INSTITUTO DE TECNOLOGIA, 2014) CABRAL-LEITE, Jandecy; PÉREZ-ABRIL, Ignacio; SANTOS-AZEVEDO, Manoel Socorro; LIMA-TOSTES, Maria Emilia de; HOLANDA-BEZERRA, Ubiratan; Prof Dr. Walter Barra Junior
The paper examines the evolution of optimization formulations for passive harmonic filters in industrial power systems, highlighting the shift from single-objective to multi-objective approaches. Methods such as sequential quadratic programming (SQP), genetic algorithms (GA), and particle swarm optimization (PSO) are reviewed, focusing on cost minimization, harmonic distortion reduction, and energy loss mitigation. The study demonstrates how multi-objective formulations provide more efficient and comprehensive solutions for complex power quality issues.
