Simultaneous Allocation of Electric Vehicle Charging Station and Power Filters in Power Distribution Network Using Marine Predators Algorithm

The increase in electric vehicle sales has necessitated more charging stations. However, the converters in these stations impact the power quality of the network by generating harmonics, which must be maintained within specified limits according to IEEE 519 standard. Hence, this paper focuses on optimal allocation of electric vehicle charging stations (EVCSs) while ensuring the satisfaction of power quality and other constraints of the network. The power filters are also placed optimally, keeping their installation costs reasonable, when optimal allocation of EVCSs alone does not resolve the power quality issues. The problem is formulated as a multi-objective problem. The effectiveness of the proposed mathematical model is validated on a practical 40-bus superimposed road and distribution network. To perform the power quality analysis, harmonic spectrum data of a practical EVCS is captured with the help of a power quality analyzer. The optimization is conducted using the marine predator algorithm (MPA) in MATLAB. The best non-dominated solution is identified using the interactive fuzzy satisfying (IFS) method. The outcomes show that the proposed approach is effective and is capable of evaluating the location of charging stations for any practical distribution network, keeping power quality constraints within limit.