A charging strategy of electric vehicles for distributed photovoltaics nearby consumption

Jun Li; Jinglin Guo

doi:10.1117/12.3007627

25 October 2023 A charging strategy of electric vehicles for distributed photovoltaics nearby consumption

Jun Li, Jinglin Guo

Proceedings Volume 12801, Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023); 128013Z (2023) https://doi.org/10.1117/12.3007627
Event: Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023), 2023, Dalian, China

Abstract

A charging strategy model of electric vehicles for distributed photovoltaic nearby consumption is proposed. The model gathers distributed photovoltaics in a certain region according to certain statistical characteristics and then schedules electric vehicle charging according to cointegration rules to achieve nearby consumption. The characteristic is to use the random load of electric vehicles to deal with the random characteristics of distributed photovoltaic. Through statistical analysis of the random characteristics of the load in the region, the change of power support, the system stability of photovoltaic absorption and the system utilization rate, the energy flow generated by photovoltaic is redistributed, and then according to the co-integration law, the electric vehicle charging is induced with the goal of reducing the variance of photovoltaic output and nearby absorption, It also complements the PV consumption of industrial and commercial buildings and residential areas.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jun Li and Jinglin Guo "A charging strategy of electric vehicles for distributed photovoltaics nearby consumption", Proc. SPIE 12801, Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023), 128013Z (25 October 2023); https://doi.org/10.1117/12.3007627

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