Abstract
Aiming at the problem of insufficient power supply of charging stations caused by the access of large-scale plug-in electric vehicles, under the framework of multi-agent system, a distributed fixed-time optimal charging strategy based on event triggering is proposed. Firstly, a distributed consensus protocol is designed by combining the principle of equal micro-increment and fixed-time convergence theory to improve the dynamic performance of the system. Secondly, in order to reduce the communication resource consumption of the system, an event trigger mechanism is designed, so that each agent can exchange information with the adjacent agents only when the set conditions are met. A rigorous proof that the system converges to the optimal solution in a fixed-time and Zeno’s behavior does not exist is given. Simulations verify the effectiveness of the proposed strategy.
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This work is supported by Provincial Key Laboratory Performance Subsidy Project (22567612H)
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Changxing Zhang has made substantial contributions to the conception or design of the work; or the acquisition, analysis, or interpretation of data for the work; Zhongqiang Wu has drafted the work or revised it critically for important intellectual content; Zhongqiang Wu agrees to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. All authors reviewed the manuscript.
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Wu, Z., Zhang, C. Event triggered distributed fixed-time optimal charging control for electric vehicle. Optim Eng (2025). https://doi.org/10.1007/s11081-024-09945-w
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DOI: https://doi.org/10.1007/s11081-024-09945-w