New Design of Reliable Passive Filter for Harmonic Mitigation Using Secretary Bird Optimization Considering Power System Uncertainty

Uncertainties in harmonic models of power systems and variations in passive filter parameters due to implementation errors pose significant challenges to achieving robustness and reliability in filter design. This article presents an optimal design for robust and nonfragile passive harmonic filters for power systems against uncertainty. The proposed method incorporates probabilistic constraints to optimize filter parameters, ensuring robustness against uncertainties in system impedance and background harmonic injections. In addition, the design framework accounts for variability in filter parameters arising from implementation errors. A combined approach utilizing Monte Carlo simulation and Secretary Bird Optimization Algorithm is introduced instead of conventional methods to enhance performance and cost-efficiency. This method aims to develop passive harmonic filters that maintain effective harmonic mitigation performance while complying with grid codes under varying operational conditions. Robustness and resilience tests are conducted simultaneously using a practical power system, demonstrating the superior performance of the proposed approach compared to conventional methods.