Analysis of Security Operational Characteristics of Distribution Network considering Electric Vehicle Load Access Forecast. (22nd July 2022)

• Record Type: Journal Article
• Authors: Sun, Lei; Ma, Yong; Zhu, Jinsong; Li, Xiaohan; Wu, Peng; Bao, Xiangyu
• Other Names: Ma Dazhong Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2022(2022)
• Publication Date: 2022-07-22
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2022/9751132
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : In recent years, electric vehicles have been widely promoted by virtue of environmental protection and pollution-free advantages. In the future, they are expected to become a mainstream means of transportation. However, as new services and business models become more and more closely related to the distribution network, the traditional AC distribution district has limited ability to respond to the large-scale access of electric vehicles. Therefore, it is becoming increasingly important to improve the ability to respond to electric vehicle access, reduce the negative impact of large-scale electric vehicle access on the grid, and predict and calculate the uncertainty caused by electric vehicle load access. Therefore, this paper proposes the concept of flexible distribution district, constructs the security operational boundary model for flexible distribution district, and uses "security margin percentage" as the measurement mechanism to provide dispatchers with an intuitive system operating status. In addition, this paper also proposes an effective uncertainty quantification method for the problem that it is difficult to measure the changes of bus voltage and line current at network nodes when large-scale electric vehicles are connected to the network. Numerical results demonstrate both the extensibility and the practicality of the proposed security operational boundary. In addition, the proposed uncertainty quantification method can reflect the impact of load changes on the characteristics of the power grid, which is helpful to study the improvement significance of adjusting electric vehicle load changes to distribution network optimization.