Application of flexible multi-state switches for electric vehicle load integration in distribution network

With the widespread adoption of electric vehicles (EV), the randomness and volatility of large-scale EV charging loads significantly impact the normal operation of distribution grids. Distribution network losses and voltage offset often exceed permissible limits. To mitigate these issues, flexible multi-state switches (FMS) are employed to manage EV charging loads. When substantial loads are concentrated, an improved Gray Wolf algorithm (IGWA) optimizes the operational state of the FMS, ensuring the economic and reliable operation of the distribution grid.

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Publication Details

Journal
IET conference proceedings.
Published
2026-05-01
DOI
https://doi.org/10.1049/icp.2026.0732
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
0.00
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article

Application of flexible multi-state switches for electric vehicle load integration in distribution network

Qiu Pang, Guanlong Jia, Hongcheng Jiang, Mingyu Gu et al.
IET conference proceedings.
Electric Vehicles and Infrastructure
article

Application of flexible multi-state switches for electric vehicle load integration in distribution network

Qiu Pang, Guanlong Jia, Hongcheng Jiang, Mingyu Gu, Xianghua Tang
article en

Abstract

With the widespread adoption of electric vehicles (EV), the randomness and volatility of large-scale EV charging loads significantly impact the normal operation of distribution grids. Distribution network losses and voltage offset often exceed permissible limits. To mitigate these issues, flexible multi-state switches (FMS) are employed to manage EV charging loads. When substantial loads are concentrated, an improved Gray Wolf algorithm (IGWA) optimizes the operational state of the FMS, ensuring the economic and reliable operation of the distribution grid.

IET conference proceedings.Vol. 2025(49)
Hebei University of Technology (CN), Shanghai Electric (China) (CN)
Openalex Percentile: Top 9%
Electric Vehicles and Infrastructure
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