Optimal Multi-Objective Design of Anti- Resonance Fourth-Order Passive Power Filters Using TOPSIS-Based NSGA in Distorted Distribution Systems

Harmonic resonance is a topic of interest in modern power system networks because it may provide a significant increase in harmonic voltage or current values. As a result, the recent tendency in power quality studies is to develop new resonance-free systems that dampen resonances and reduce harmonics. This paper discusses the performance of anti-resonance fourth-order passive power filters (FOPPFs) through a comparative evaluation between two passive filters - FOPPF and C-type filters. The proposed design approach simultaneously minimizes total demand distortion of harmonic currents and a parallel resonance index that quantifies the parallel resonance by defining the design challenge as a multi-objective optimization issue. The third version of the non-dominated sorting genetic algorithm (NSGA) is used to find the optimal filter designs while adhering to the power flow restrictions, voltage limits, power factor requirements, and harmonic management restrictions specified in IEEE Std. 519– 2014. Furthermore, a decision-making approach relying on technique for order of preference by similarity to ideal solution has been applied to get a single solution from the set of the non-dominated solutions of the issue under investigation. The results show that FOPPFs perform better than C-type passive filters in resonance damping and mitigating a wide range of harmonic frequencies resulting from nonlinear loads.