Efficient real-time cost management in renewable energy-powered microgrid with integrated electric vehicle charging/discharging control

Majlesi Journal of Electrical Engineering

مقاله 10، دوره 19، شماره 2، شهریور 2025، صفحه 1-25   

نوع مقاله: Reseach Article

شناسه دیجیتال (DOI): 10.57647/j.mjee.2025.1902.33

نویسندگان

Swati Sharma^* ؛ Ikbal Ali

Department of Electrical Engineering, Jamia Millia Islamia, New Delhi, India.

چکیده

The rapid proliferation of electric vehicles (EVs) has significantly escalated the strain on the public grid by exacerbating fluctuations and hindering widespread EV adoption. This paper presents a cutting-edge solution with a real-time cost optimization model tailored for AC/DC microgrid energy management. Leveraging a unique hybridization of particle-swarm optimization (PSO) and grey wolf optimization (GWO), our approach dynamically orchestrates energy flow and EV charging schedules. The model has been developed using MATLAB 2022a.Thus, a non-linear stochastic mathematical programming model optimizes EV charging and distributed energy resources (DERs) generation costs. We scrutinize our model across medium scale microgrid IEEE- 37 Node systems—via real-time digital simulator (RTDS). Our multi-level control strategy ensures both immediate response to disturbances and long-term optimization, maintaining microgrid stability. Through meticulous real-time monitoring and control, our hybrid PSO-GWO algorithm delivers superior performance, slashing costs by $152.47 for medium scale microgrid while reducing execution time by 0.81 seconds as
compared to other metaheuristic algorithms. About 36.85% of the load is absorbed by EVs, with surplus power fed back to the main grid. This comprehensive approach not only enhances the cost-effectiveness but also fosters energy efficiency, affirming the efficacy of hybrid PSO-GWO in real-time microgrid management. 

کلیدواژه‌ها

Electric vehicle؛ Vehicle-to-grid؛ Grid-to-vehicle؛ Particle swarm optimization؛ Grey wolf optimization؛ Electric vehicle supply equipment

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