Research and Application of Interactive Control System for Charging and Swapping Load

In order to improve the charging and swapping efficiency of new energy electric vehicles, an intelligent charging and swapping system was designed. The system consists of three layers: the network layer, the terminal layer and the control layer. In this paper, a control model based on fuzzy PID is used to intervene or power off in time. And we need to collect real-time information such as the operation status data and power data of electric vehicle charging piles; Combined with the three main factors of distribution and transformation load prediction, electric vehicle charging demand and distribution and transformation power limit, the electric vehicle charging management and control strategy was formulated. Through orderly charging control, users are guided to use energy reasonably, and the charging load of electric vehicles is reasonably guided to charge during peak hours of off-grid load, so as to reduce the charging cost of users and effectively improve the ability of the power grid to access charging facilities.

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Publication Details

Published
2024-12-27
DOI
https://doi.org/10.1109/auteee62881.2024.10869650
Primary Topic
Advanced Algorithms and Applications
Type
article
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Research and Application of Interactive Control System for Charging and Swapping Load

Xiaoyin Ding, Cheng Shen, Zhibo Jiang, Fei Xu et al.
Advanced Algorithms and Applications
article

Research and Application of Interactive Control System for Charging and Swapping Load

Xiaoyin Ding, Cheng Shen, Zhibo Jiang, Fei Xu, J. Wang, Wenbin Wang, Jie Shen, Dayong Lu
article en

Abstract

In order to improve the charging and swapping efficiency of new energy electric vehicles, an intelligent charging and swapping system was designed. The system consists of three layers: the network layer, the terminal layer and the control layer. In this paper, a control model based on fuzzy PID is used to intervene or power off in time. And we need to collect real-time information such as the operation status data and power data of electric vehicle charging piles; Combined with the three main factors of distribution and transformation load prediction, electric vehicle charging demand and distribution and transformation power limit, the electric vehicle charging management and control strategy was formulated. Through orderly charging control, users are guided to use energy reasonably, and the charging load of electric vehicles is reasonably guided to charge during peak hours of off-grid load, so as to reduce the charging cost of users and effectively improve the ability of the power grid to access charging facilities.

Shanghai Electric (China) (CN)
Openalex Percentile: Top 67%
Advanced Algorithms and Applications
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Research and Application of Interactive Control System for Charging and Swapping Load — Xiaoyin Ding, Cheng Shen, et al. · (2024) | TGRS Research Map | TGRS