Affiliation:
1. State Grid Jiangsu Electric Power Co. Ltd. Research Institute, Nanjing, Jiangsu Province 211103, China
2. Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu Province 210023, China
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.
Funder
State Grid Jiangsu Electric Power Research Institute Research on Technology of Security Intelligent Interaction between Electric Vehicle and Power Grid
Subject
General Engineering,General Mathematics
Reference18 articles.
1. China’s new energy vehicle industry and technology development status and countermeasures;J. Ma;Journal of Highway and Transport,2018
2. Research on charging station grid interaction strategy considering parking characteristics of electric vehicles;X. Zhan;Smart Power,2020
3. Reliability evaluation of distribution network considering the interaction of the vehicle network;J. Huang;Electric Power Construction,2017
4. Optimal planning of power supply capacity of residential distribution system considering the access of electric vehicle charging facilities;Y. Huang;Electric Power Construction,2018
5. Game theoretic based pricing strategy for electric vehicle charging stations
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. User Side Energy Storage State Evolution Model for Abnormal Operation Scenarios in Distribution Networks;2024 4th International Conference on Neural Networks, Information and Communication (NNICE);2024-01-19