PROJECT TITLE :
Optimal Distributed Charging Rate Control of Plug-In Electric Vehicles for Demand Management
Plug-in electrical vehicles (PEVs) are a promising different to standard fuel-primarily based cars. But, a large variety of PEVs connected to the grid simultaneously with poor charging coordination could impose severe stress on the power system. To allocate the accessible charging power, this paper proposes an optimal charging rate control of PEVs based on consensus algorithm, which aligns every PEV's interest with the system's benefit. The proposed strategy is implemented primarily based on a multi-agent system framework, which solely needs data exchanges among neighboring agents. The proposed distributed management resolution allows the sharing of computational and communication burden among distributed agents, thus it's robust, scalable, and convenient for plug-and-play operation which permits PEVs to join and leave at arbitrary times. The effectiveness of the proposed algorithm is validated through simulations.
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