Coordinated optimization of electric vehicle charging infrastructure and reactive power compensation in active distribution networks with V2G services

作者：Mohd Bilal, Tousif Khan Nizami, Fareed Ahmad, Mohammad Ali, Shima Sadaf, Mohammed A. AlAqil · 发表于：Scientific Reports · 年份：2026 · DOI：10.1038/s41598-026-66641-8 · 研究领域：Electric Vehicles and Infrastructure、Transportation and Mobility Innovations、Wireless Power Transfer Systems

This work presents an innovative strategy to augment the efficiency and profitability of electrical distribution networks (DNs) in the context of increasing plug-in electric vehicle (PEV) acceptance. The method focuses on the optimal assignment of PEV charging stations and capacitor units within DNs, specifically considering Vehicle-to-Grid (V2G) functionality, with the aim of reducing energy losses, lowering system outage costs, and improving network reliability. The proposed approach employs a hybrid technique, namely the Hybrid Grey Wolf Cuckoo Search Algorithm (HGWOCSA), which leverages the best features of Grey Wolf Optimization (GWO) and the Cuckoo Search Algorithm (CSA) to solve the optimization problem. This technique helps maintain a balance between incurred expenses and overall system efficiency. The HGWOCSA outperforms both GWO and CSA in optimally locating PEV charging stations and capacitors within a DN. The main goal is to optimize network performance by lowering power losses, stabilizing voltage profiles, and supporting bidirectional energy flow through the integration of V2G functionality. The proposed strategy is validated on the IEEE 33-bus system, and the achieved outcomes showed a substantial decrease in energy losses along with improved voltage stability. The proposed approach reduced energy loss costs by 51.62% and achieved an annual profit of $54,983.01 for the studied system. The optimal configuration of three PEV charging stations and three capacitors...