Optimizing Electric Vehicle Parking: Cost Minimization and Voltage Profile Enhancement for Parking Lot Owners
Keywords:
Electric cars, Electric Car Parking, Optimization Algorithm, Cost Reduction and Voltage Profile ImprovementAbstract
The objective of this research is to minimize costs and enhance power quality, specifically the voltage profile, from the perspective of parking lot owners. Electric vehicle (EV) chargers in parking areas often generate a sudden increase in load during specific time periods, affecting charging costs. To optimize both cost and power quality within the network, we employ the particle swarm optimization (PSO) algorithm. The effectiveness of our proposed method is compared against existing approaches, such as the Monte Carlo method. Our results demonstrate that the voltage profile drop over 24 hours is significantly reduced using the proposed method compared to the Monte Carlo method. To validate our approach, we implement it in a sample network comprising 33 buses and present comprehensive and accurate results. Our research considers cost reduction and voltage profile enhancement as dual objectives, employing forward-regressive load-spreading techniques within the MATLAB software environment. By addressing both goals, we contribute to minimizing expenses while improving the overall power quality of EV charging systems in parking lots.
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