Abstract
As the population of electric vehicles (EVs) grows, coordinating their charging over a finite time horizon will become increasingly important. Recent work established a framework for EV charging coordination where a central node broadcast a price signal that facilitated the tradeoff between the total generation cost and local costs associated with battery degradation and distribution network overloading. This paper considers a completely distributed protocol where the central node is eliminated. Instead, a consensus algorithm is used to fully distribute the price update mechanism. Each EV computes a local price through its estimate of the total EV charging demand, and exchanges this information with its neighbours. A consensus algorithm establishes the average over all the EV-based prices. It is shown that under a reasonable assumption, the price update mechanism is a Krasnoselskij iteration, and this iteration is guaranteed to converge to a fixed point. Furthermore, this iterative process converges to the unique and efficient solution.
Original language | English |
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Pages (from-to) | 8881-8887 |
Number of pages | 7 |
Journal | IFAC-PapersOnLine |
Volume | 50 |
Issue number | 1 |
DOIs | |
Publication status | Published - Jul 2017 |
Keywords
- Electric vehicles
- consensus price
- decentralized optimization
- distributed protocol
- efficient charging control