Energy Storage Science and Technology ›› 2025, Vol. 14 ›› Issue (7): 2772-2781.doi: 10.19799/j.cnki.2095-4239.2025.0015

• Special Issue on the 13th Energy Storage International Conference and Exhibition • Previous Articles     Next Articles

Research on comprehensive evaluation and regulation strategy of renewable energy system based on disordered charging behavior of electric vehicles

Yanting LIU(), Guohui FENG(), Shasha CHANG, Yuqian CHENG, Yuming DING   

  1. School of Municipal and Environmental Engineering, Shenyang Jianzhu University, Shenyang 110168, Liaoning, China
  • Received:2025-01-06 Revised:2025-01-17 Online:2025-07-28 Published:2025-07-11
  • Contact: Guohui FENG E-mail:lyt199542@163.com;fengguohui888@163.com

Abstract:

As the penetration rate of electric vehicles (EVs) increases, their widespread integration significantly affects the power grid stability. To better absorb highly volatile renewable energy and manage uncertain EV charging demands, this study proposed a renewable energy system. The proposed system combines energy storage technology with wind power, photovoltaic power, and grid technology to create a renewable energy system. The disordered charging behavior of EVs was characterized using the Monte Carlo sampling method, and MATLAB was coupled with TRNSYS to build a dynamic system simulation model. An evaluation framework was proposed to comprehensively evaluate system performance across different time scales, technical forms, and control strategies. The analysis was based on three system control strategies. The results demonstrate that the system's annual energy matching index increased by up to 48.20%, its flexibility index decreased by up to 37.77%, and the environmental benefit index decreased by up to 6.59% after the introduction of energy storage technology. Through an orderly charging strategy, the system demonstrated strong performance metrics: an on-site energy fraction of 66.71%, on-site energy matching of 73.20%, grid integration level of 33.29%, and net interaction level of 52.63%. The proposed system effectively regulates loads, relieves pressure on the power grid, improves supply-demand mismatches due to EV loads, and decreases demand-side dependence on the power grid.

Key words: electric vehicles, renewable energy, Monte Carlo, energy storage, TRNSYS

CLC Number: