Fuzzy Multi-objective Optimized with Efficient Energy and Time-varying Price for EV Charging System

In this paper, the multi-objective optimization problem with energy efficiency and charge cost utilization is investigated for electric vehicles (EVs) dynamic charging system with efficient energy and time-varying electricity price. System model is considered to be the joint model of charging reservation and real-time charging monitoring. Since the concerned problem by nature is a multi-constrained and multi-variable optimization problem, our aim is to develop a novel fuzzy charging strategy to solve the concerned system. Furthermore, when charging power of centralized charging station is larger than allowed charging power, a fuzzy optimized power allocation scheme is proposed based on genetic algorithm. At last, some experiment tests are provided to check the effectiveness of the proposed method.

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