Optimal design of passive power filters based on multi-objective bat algorithm and pareto front

• Four typical types of passive power filter.
• Four objectives and five constraints.
• Modified bat algorithm using inertia weight and external archive for multi-objective optimization.

This paper proposes an optimal design method for passive power filters (PPFs) in order to suppress critical harmonics and improve power factor. The characteristics of common passive filters, such as single-tuned, second-order, third-order, and C-type damped filters are introduced. In addition, several objective functions and constraints for PPF design problems are constructed. A new multi-objective optimization based on the modified bat algorithm and Pareto front is developed for solving PPF design problems. A case study is also presented to demonstrate the efficiency and superiority of the proposed method.

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