Abstract
Plug-in hybrid electric vehicle (PHEV), in addition to its environment-friendliness, brings both challenges (due to its high demand) and opportunities (thanks to the elasticity of its demand) to future smart grid. How to control users’ elastic demand to reduce demand peaks and effectively use renewable energy are key objectives for smart grid, which also spark numerous research efforts. Existing solutions are either centralized, or decentralized based on real time pricing (RTP). In this paper, we introduce a new distributed random access approach for controlling PHEV charging, which does not need centralized control and can be executed in real time. Different from the existing work, we use the history information rather than RTP to coordinate all the distributed smart agents which schedule the PHEV charging. Simulation results show that the proposed decentralized access algorithm is efficient and effective in reducing peaks caused by uncoordinated PHEV charging, and can provide automatic demand response to make the demand follow the change of renewable energy supply. The proposed algorithm is simple and scalable to implement.
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How to determine the contribution and design the incentive mechanism is an interesting problem for future research.
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Zhou, K., Cai, L. A decentralized access control algorithm for PHEV charging in smart grid. Energy Syst 5, 607–626 (2014). https://doi.org/10.1007/s12667-013-0092-2
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DOI: https://doi.org/10.1007/s12667-013-0092-2