Strategy for improving wind‑solar consumption rate in mountainous cities based on VMD‑Bi‑LSTM and V2G

Authors

Li CAI, Department of Electrical Engineering, Chongqing Three Gorges University, Chongqing 404000, China
Bingjie SHANG, Department of Electrical Engineering, Chongqing Three Gorges University, Chongqing 404000, China
Qingshan XU, School of Electrical Engineering, Southeast University, Nanjing 210096, China
Juan YAN, Department of Electrical Engineering, Chongqing Three Gorges University, Chongqing 404000, China
Haihong BIAN, Department of Smart Grid Engineering, Nanjing Institute of Technology, Nanjing 210096,China
Yi ZHANG, State Grid Chongqing Electric Power Company, Chongqing 400000, China
Xiaojiang ZOU, Research and Development Department,Chongqing Andaocheng Automotive Technology Co., Ltd., Chongqing 404000, China

Keywords

electric vehicle; orderly charging; V2G; mountainous city; wind-solar forecasting; Bi-LSTM

Abstract

To address the current energy abandonment phenomenon of new energy sources such as wind power and photovoltaic power, an orderly charging and discharging strategy for electric vehicles (EVs) is proposed to promote wind-solar consumption. This strategy uses the vehicle-to-grid (V2G) interaction technology and aims to maximize the regional wind-solar consumption rate, minimize power load fluctuation, and maximize the power company’s electricity sales benefit in the context of mountainous cities by establishing a multi-objective charging model. The output of wind power and photovoltaic power is predicted using variational mode decomposition combined with a bidirectional long short-term memory (Bi-LSTM) network. Based on the predicted outputs, the output periods are divided, and dynamic electricity prices are set. The problem is solved using the adaptive particle swarm optimization algorithm, Yalmip + Cplex, and CVX toolbox. Case results show that when the user V2G responsiveness is 30%, 60%, and 100%, the wind-solar consumption rates are 83.73%, 89.12%, and 97.11%, respectively， power load fluctuations are decreased by 41.89%, 44.46%, and 47.32%, respectively, while ensuring the electricity sales benefits of the power company.

DOI

10.19781/j.issn.1673-9140.2025.03.017

First Page

154

Last Page

162

Recommended Citation

CAI, Li; SHANG, Bingjie; XU, Qingshan; YAN, Juan; BIAN, Haihong; ZHANG, Yi; and ZOU, Xiaojiang (2025) "Strategy for improving wind‑solar consumption rate in mountainous cities based on VMD‑Bi‑LSTM and V2G," Journal of Electric Power Science and Technology: Vol. 40: Iss. 3, Article 17.
DOI: 10.19781/j.issn.1673-9140.2025.03.017
Available at: https://jepst.researchcommons.org/journal/vol40/iss3/17