AN IMPROVED WILD HORSE OPTIMIZER ALGORITHM FOR ELECTRIC VEHICLE CHARGING STATIONS COMBINATED DISTRIBUTED GENERATION AND BATTERY STORAGE SYSTEM

Tóm tắt

The rapid development of electric vehicles (EV) has increased the load on charging stations (CS), placing significant pressure on distribution power systems, particularly with adverse effects on voltage stability, peak loads, and high power losses. In this study, we propose a solution combining the deployment of distributed generation (DG) and battery energy storage systems (BESS) to support electric vehicle charging stations (EVCS) in distribution networks. The objective is to minimize power losses and maintain stable operating voltage. An improved algorithm, the Chaotic Wild Horse Optimizer (CWHO), derived from the original Wild Horse Optimizer (WHO), is proposed to achieve better solutions for the problem model. The standard IEEE 33-bus distribution network is used for testing and simulating solutions with Matlab R2022a under two scenarios: integrating DG and BESS over a 24-hour framework and increasing the EVCS intensity factor. The results are compared with previous studies to demonstrate the effectiveness and superiority of the improved CWHO algorithm for the EVCS optimization problem.