Abstract
The paper considers the coordination of electric vehicle (EV) charging where the loading on the transformers that serve the distribution feeders is taken into account. A decentralized control method is designed such that self-interested EVs are motivated to achieve global benefits. The formulation has a hierarchical structure. At the lower level, each transformer broadcasts a price signal to the EVs that it supplies, and the EVs individually determine their optimal charging strategies. At the upper level, the communication network between transformers is described as a graph and a consensus algorithm among the transformers is used to obtain a group consensus price that reflects the system generation cost. Each transformer then establishes a price which is composed of the consensus price together with a contribution that accounts for its loading characteristic. An update algorithm is developed which converges in a few (typically around ten) iterations to the unique and efficient (socially optimal) solution.
Original language | English |
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Pages (from-to) | 138-145 |
Number of pages | 8 |
Journal | Control Engineering Practice |
Volume | 80 |
DOIs | |
Publication status | Published - Nov 2018 |
Keywords
- Consensus
- Convergence
- Decentralized optimization
- Distributed protocol
- Efficient charging control
- Electric vehicles
- Transformer limits