Practice and case analysis of vehicle network interaction technology in microgrid operation optimization
Guided by the goals of carbon peaking and carbon neutrality, the power distribution system is gradually evolving into a new type of regional power system that integrates functions such as power collection, transmission, storage and trading, showing brand-new forms and characteristics. [1] In this study, the application of vehicle network interaction technology in a microgrid project in Dongying City was analyzed in depth, and a variety of vehicle network interaction modes were selected to optimize the microgrid operation status through real-time data monitoring and control strategy adjustment. During the survey, detailed data on microgrid operation over several months were collected, including the charging and discharging time, frequency, power load changes, and other information on trams. The influencing factors of vehicle network interaction were discussed through data association analysis. This study found that the correct configuration and implementation of the vehicle network interaction strategy can effectively reduce the peak load of the grid, make the internal load of the microgrid more balanced, improve the overall stability of the system, and reduce the energy cost. At the same time, the technology can also promote the efficient use of electric vehicles, and provide two-way regulation capability for grid energy storage. The case study shows that after the implementation of the vehicle network interaction technology, the operation cost of the microgrid project has decreased by about 15% and the utilization rate of renewable energy has increased by nearly $\mathbf{1 0 \%}$. Through quantitative analysis, this paper constructs a vehicle network interaction optimization model suitable for different sizes and properties of microgrid, proposes a set of systematic operation process and optimization strategy, and puts forward corresponding management and policy suggestions according to the experimental results, in order to provide reference for the development of microgrid.
Authors
- Jiran Liu
- Lin Zhang (ORCID: https://orcid.org/0000-0003-0244-9525)
- Junyi Li
- Jiayi Wang (ORCID: https://orcid.org/0000-0002-7785-3381)
- Jingsheng Liu
- Yuchen Luo (ORCID: https://orcid.org/0009-0000-2402-6596)
Institutions
- Shanghai Normal University (CN)
- Yili Normal University (CN)
- University of Malaya (MY)
- Shandong University of Science and Technology (CN)
- Northwest A&F University (CN)
- Xinjiang University of Finance and Economics (CN)
Publication Details
- Published
- 2024-09-20
- DOI
- https://doi.org/10.1109/epee63731.2024.10875446
- Citations
- 1
- Primary Topic
- Power Systems and Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.21