Open AccessInfluence of electric vehicle distributed energy storage access on safety and stability of distribution network
Author(s) -
Shengfeng Wang,
Shaobing Yang
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2247/1/012029
Subject(s) - energy storage , distributed generation , distributed data store , electric vehicle , node (physics) , stability (learning theory) , power (physics) , automotive engineering , computer science , voltage , computer data storage , energy (signal processing) , engineering , electrical engineering , distributed computing , renewable energy , mathematics , physics , structural engineering , quantum mechanics , machine learning , operating system , statistics
This paper proposes a distributed energy storage control strategy for electric vehicles to improve the security and stability of distribution network when electric vehicles are connected. Firstly, the load characteristics of electric vehicles are investigated, and the optimal power flow model including energy storage power station, electric vehicle charging station considering V2G and distribution network is established. The objective function is established to minimize network loss, voltage deviation and load peak to peak. The problem is transformed into a mixed integer second-order cone optimization problem for solution, and based on the analysis of distributed energy storage model and constraints, the distributed energy storage control strategy of electric vehicle is established. Through the solution analysis in IEEE33 node system, it can be concluded that using this strategy can improve the power quality of distribution network and effectively improve the security and stability of distribution network.