Abstract
Harmonic distortion in power systems is a significant problem, and it is thus necessary to mitigate critical harmonics. This study proposes an optimal method for designing passive power filters (PPFs) to suppress these harmonics. The design of a PPF involves multi-objective optimization. A multi-objective bee swarm optimization (MOBSO) with Pareto optimality is implemented, and an external archive is used to store the non-dominated solutions obtained. The minimum Manhattan distance strategy was used to select the most balanced solution in the Pareto solution set. A series of case studies are presented to demonstrate the efficiency and superiority of the proposed method. Therefore, the proposed method has a very promising future not only in filter design but also in solving other multi-objective optimization problems.
Highlights
Nonlinear loads are commonly used by consumers [1], and the current drawn by these nonlinear loads is not sinusoidal, even though they are connected to a sinusoidal supply
Sample System system kV, Hzis isconsidered. This system consists nonlinear loads kV, Hz system consists of of nonlinear loads considered as a harmonic source, and the
197.5 the results show that the passive power filters (PPFs) design by the multi-objective bee swarm optimization (MOBSO) is more balanced than the PPF design
Summary
Nonlinear loads are commonly used by consumers [1], and the current drawn by these nonlinear loads is not sinusoidal, even though they are connected to a sinusoidal supply. The growth of nonlinear loads causes distortions in the current and voltage waveform [2,3,4], which are represented as harmonics. These harmonics may have several adverse effects on power systems, including power loss, power factor reduction, equipment malfunctioning, deterioration, and damage [5,6,7,8,9,10,11]. Several studies have shown the effectiveness of PPFs in reducing harmonics from nonlinear systems [13,14,15,16,17,18,19]
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