Open AccessResearch on Charge and Discharge Strategy of Electric Vehicles Based on New Distribution Network Planning
Author(s) -
Min-An Lu,
Tangzheng Ren,
Kunhua Ji,
Zimeng Wang,
Dongxia Gu,
Peng Chen,
Zhen Cao
Publication year - 2021
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 - 10.1088/1742-6596/1920/1/012017
Subject(s) - monte carlo method , electric vehicle , automotive engineering , power (physics) , distribution (mathematics) , computer science , electric power , electric network , simulation , transport engineering , voltage , engineering , electrical engineering , physics , mathematics , mathematical analysis , statistics , quantum mechanics
Based on the planning and distribution of new distribution network, the charging and discharging strategies of existing electric vehicles are studied. According to the number and distribution of existing charging piles, as well as the charging quantity of electric vehicles in each region, the travel law of electric vehicles is analyzed by using the travel chain theory and Monte Carlo algorithm; then, according to the user travel rules and the charging pile capacity of each area, each area is rated, and a hierarchical V2G distribution network is designed. Then, the power supply behavior of electric vehicles in V2G distribution network is analyzed, and the main power supply time period of electric vehicles in the improved V2G distribution network is obtained by using Monte Carlo algorithm; finally, the effectiveness of the proposed scheme is verified by an example, and the power supply situation of electric vehicles is classified.