Enhancing distribution system performance by optimizing electric vehicle charging station integration in smart grids...

Area of Science:

• Electrical Engineering
• Optimization Algorithms
• Sustainable Energy Systems

Background:

• Growing electric vehicle (EV) adoption necessitates efficient integration of electric vehicle charging stations (EVCS) into power distribution grids.
• EVCS integration poses challenges like power loss and voltage instability, exacerbated by renewable distributed generation (RDG) and battery energy storage systems (BESS).

Purpose of the Study:

• To introduce a novel Honey Badger Optimization Algorithm (HBOA) for optimizing EVCS placement.
• To enhance solution convergence and efficiently address multi-objective criteria in EVCS integration.
• To consider vehicle-to-grid (V2G) capabilities and user driving behaviors for dynamic grid conditions.

Main Methods:

• Development and application of the Honey Badger Optimization Algorithm (HBOA).
• Simulation studies on modified IEEE 69-bus and Indian 28-bus radial distribution systems (RDS).
• Incorporation of a smart microgrid (MG) structure with interconnected MGs for various sectors.

Main Results:

• Significant reduction in power loss (62.0% in IEEE 69-bus, 55.5% in Indian 28-bus).
• Improvement in voltage stability index (VSI) (0.7139 to 0.8311 in IEEE 69-bus, 0.7394 to 0.9964 in Indian 28-bus).
• Substantial decrease in CO₂ emissions (66.0% in IEEE 69-bus, 50.0% in Indian 28-bus).

Conclusions:

• The HBOA effectively optimizes EVCS placement, mitigating negative impacts on distribution grids.
• The proposed smart microgrid structure with RDGs demonstrates efficacy in managing EVCS integration.
• HBOA offers superior optimization for enhanced system performance, reduced costs, and increased sustainability in EV integration.