Paper
16 December 2022 Research on the reliability of distribution network based on the interaction between electric vehicles and distributed generation supply and demand
Furen Wang, Yufang Wang
Author Affiliations +
Proceedings Volume 12500, Fifth International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022); 125001C (2022) https://doi.org/10.1117/12.2660515
Event: 5th International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022), 2022, Chongqing, China
Abstract
Electric vehicle charging is disordered and distributed power supply is intermittent and random, and large-scale access to the power grid poses a threat to the reliability of the distribution network. On the basis of traditional source-load interaction, a distribution network reliability optimization strategy for the interaction between electric vehicles and distributed generation is proposed. First, the power supply and demand interaction system are designed and the interaction mechanism between the two is explained; secondly, the elements of the power supply and demand interaction system are analyzed, and the distributed power supply power probability model and the electric vehicle load probability model are constructed. Then, construct a distribution network reliability optimization mathematical model of the interaction of power supply and demand, and use the elite genetic algorithm to solve the model. Finally, the Matlab example simulation is used to verify the feasibility and effectiveness of the distribution network reliability optimization strategy, which can improve the reliability of the distribution network and promote the consumption and utilization of renewable energy.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Furen Wang and Yufang Wang "Research on the reliability of distribution network based on the interaction between electric vehicles and distributed generation supply and demand", Proc. SPIE 12500, Fifth International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022), 125001C (16 December 2022); https://doi.org/10.1117/12.2660515
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Reliability

Power supplies

Genetic algorithms

Optimization (mathematics)

Mathematical modeling

Monte Carlo methods

Photovoltaics

Back to Top