Research on the Influence of Electric Vehicle Integration in Island Microgrid, Vietnam
Nguyen Van Hung1, Nguyen Quoc Minh2
1Nguyen Van Hung, Department of Electrical–Electronics Engineering Vietnam Maritime University, Haiphong, Vietnam.
2Nguyen Quoc Minh, Department of Electrical Engineering Hanoi University of Science & Technology, Hanoi, Vietnam.
Manuscript received on 16 August 2023 | Revised Manuscript received on 23 August 2023 | Manuscript Accepted on 15 October 2023 | Manuscript published on 30 October 2023 | PP: 1-12 | Volume-13 Issue-1, October 2023 | Retrieval Number: 100.1/ijeat.A42831013123 | DOI: 10.35940/ijeat.A4283.1013123
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Abstract: Vietnam’s economy is developing strongly, and the demand for energy use will increase rapidly. The development of smart grids contributes significantly to the transition and sustainable development of energy from renewable energy sources to improve the quality of the national power supply and promote the sustainable use of electricity economically and efficiently. Thus, this is highly beneficial in reducing carbon emissions and other types of pollution. Besides, electrification in the transportation industry is developing rapidly, such as Electric Vehicles (EVs) and Metros in recent years. Integrating electric vehicles into the grid will enable two-way energy exchange, reactive power compensation and load balancing. However, the number of EVs participating in charging at a time will cause some conflicts, such as voltage and power loss at the nodes. Therefore, the balancing problem between load demand and generation source is a difficult task in planning operations. This paper presents a method to optimize island Microgrid (MG) operation with the participation of electric vehicles based on renewable energy sources. Optimization techniques in intelligent resource forecasting and management algorithms are built in MATLAB to achieve different requirements. The proposed Microgrid manages energy efficiency that adapts to the variability of Renewable Energy with improved efficiency.
Keywords: Plug-in hybrid electric vehicles, Optimisation, vehicle-to-grid, Renewable energy, Vehicle to grid on MG.
Scope of the Article: Renewable Energy Technology