Electric vehicles (EVs) can become integral parts of a smart grid, as they are capable of providing valuable services to power systems. However, the extra loads created by an increasing number of EVs may have adverse impacts on the distribution network such as congestion.
This project focuses on designing control strategies for congestion management in distribution network with multiple actors, such as the distribution system operator (DSO), commercial players, and electric vehicle owners, considering their self-interests and operational constraints. Innovative control strategies for large scale integration of EVs into the power systems will be reviewed. New approaches for distribution networks congestion management will be investigated, suggesting and developing a market based control for distribution grid congestion management.
To build a complete solution for integration of EVs into the distribution network, a price coordinated hierarchical scheduling system is proposed. To test and evaluate the proposed control strategies, we use multiagent technology to model and simulate the price coordinated hierarchical scheduling system.
Project co-funded by the Ministry of Higher Education and Science and the China Scholarship Council I To be completed: 2014