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The Energy Optimization and Scheduling Problem of the Vehicle-to-Grid (V2G) Technology for Electric Vehicles

Author(s)

Yingshan Liu

Affiliation(s)

Nanjing University of Science and Technology, Nanjing, Jiangsu, China

Abstract

With the global energy structure transformation and the increasing popularity of electric vehicles (EVs), the Vehicle-to-Grid (V2G) technology has emerged as a key solution to address issues like grid load pressure and renewable energy integration. This paper reviews the research on V2G energy optimization scheduling. It analyzes the current situation of V2G energy optimization and scheduling both abroad and in China, covering aspects such as policy support, technological research and development, and market mechanisms. This paper proposes a V2G parameter configuration strategy based on user response willingness and a multi-objective optimization scheduling model. The NSGA-SA algorithm is used to improve the solution efficiency, and the scheduling flexibility is increased by 15% compared with traditional methods. The research methods used in relevant studies are diverse, including data collection from actual power systems, simulation, and a combination of theoretical analysis and survey data. These methods support the construction of various V2G-related models, such as response models and optimization scheduling models, and the application of different optimization algorithms to solve these models. Through these studies, a series of models have been developed, and the effectiveness of different strategies has been verified. However, existing research has limitations. It often simplifies real-world scenarios, neglects the game behavior between vehicle owners and operators, and has limited application scenarios. Future research should focus on improving models, considering complex real-world factors, studying the game behavior, and expanding application scenarios. In general, with the continuous progress of technology and the improvement of policies, V2G technology is expected to play a more significant role in energy storage and distributed energy integration, contributing to a more sustainable and efficient energy system.

Keywords

Vehicle-to-Grid(V2G) Technology; Sustainable Energy Integration; Energy Optimization Scheduling Model; Data-Driven Research Methods

References

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