Research on the Grid Frequency Regulation Method of V2G System Considering Energy Storage Status and Grid Frequency Deviation

With the rapid development of electric vehicle (EV) and grid interaction technology, the application of Vehicle-to-Grid (V2G) systems in frequency regulation and energy storage management has become increasingly important. This paper studies a grid frequency regulation method for V2G systems that takes into account the energy storage status and grid frequency deviation. By constructing a V2G system model, the influence of energy storage status on grid frequency regulation is analyzed, and a regulation strategy based on genetic algorithm and particle swarm optimization is designed to achieve collaborative optimization of energy storage status and frequency deviation. The proposed regulation strategy is verified through simulation, and the results show that this method can effectively improve the stability of grid frequency while optimizing the utilization efficiency of energy storage devices. This research provides a theoretical foundation and practical guidance for the broader application of V2G systems.

Authors

Publication Details

Published
2024-12-27
DOI
https://doi.org/10.1109/auteee62881.2024.10869731
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on the Grid Frequency Regulation Method of V2G System Considering Energy Storage Status and Grid Frequency Deviation

Chao Zhang, Hongyun Liu, Lang Jie, Zhili Zeng
Power Systems and Renewable Energy
article

Research on the Grid Frequency Regulation Method of V2G System Considering Energy Storage Status and Grid Frequency Deviation

Chao Zhang, Hongyun Liu, Lang Jie, Zhili Zeng
article en

Abstract

With the rapid development of electric vehicle (EV) and grid interaction technology, the application of Vehicle-to-Grid (V2G) systems in frequency regulation and energy storage management has become increasingly important. This paper studies a grid frequency regulation method for V2G systems that takes into account the energy storage status and grid frequency deviation. By constructing a V2G system model, the influence of energy storage status on grid frequency regulation is analyzed, and a regulation strategy based on genetic algorithm and particle swarm optimization is designed to achieve collaborative optimization of energy storage status and frequency deviation. The proposed regulation strategy is verified through simulation, and the results show that this method can effectively improve the stability of grid frequency while optimizing the utilization efficiency of energy storage devices. This research provides a theoretical foundation and practical guidance for the broader application of V2G systems.

Affordable and clean energy
Openalex Percentile: Top 69%
Power Systems and Renewable Energy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Research on the Grid Frequency Regulation Method of V2G System Considering Energy Storage Status and Grid Frequency Deviation — Chao Zhang, Hongyun Liu, et al. · (2024) | TGRS Research Map | TGRS