A Novel Intelligent Charging-Ordered Strategy Based On The Optimization Electric Vehicle Charging Load. Issue 5 (March 2019)

• Record Type: Journal Article
• Authors: Qi, Jiajin; Zheng, Zhengxian; Jiang, Yanping; Zhang, Pengfei; Chen, Shuqi; Chen, Panxia
• Is Part Of: Journal of physics. Volume 1176:Issue 5(2019)
• Publication Date: 2019-03
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1176/5/052020
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: This paper proposes a new optimization based on charging load and the conditions of line loss minimum as the objective function of the orderly intelligent charging control strategy, the charging control strategy using the Monte Carlo simulation method to simulate the user demand, permeability at the same time considering the electric car users in a variety of scenarios, from several aspects, such as load, power loss and voltage electric vehicle charging to the influence of the distribution network are analyzed. Based on this, puts forward a based on the optimal charging load and line loss minimum as the objective function of the intelligent orderly charging methods, this method can meet the demand of the electric car charge, according to the trend of short-term load, in each period of rechargeable power optimization, to achieve steady load, reduce the energy loss and improve the voltage quality goals.