ABSTRACT
ABSTRACT: The optimal design of passive filters is solved by minimising the equivalent cost of total harmonic distortion and investment cost of passive filters for mass rapid transit power systems with Immune Algorithm (IA). The objective function and constraints are expressed as antigens, and all feasible solutions are expressed as antibodies in the IA simulation process. The diversity of antibodies is then enhanced by considering the proximity of antigens so that the global optimisation during the solution process can be obtained. It is found that harmonic distortion, which results from the stochastic harmonic load flow analysis, can be mitigated effectively by the optimal planning of passive filters using the proposed immune algorithm.
