We have constructed a mathematical model for electric vehicle charging and discharging scheduling with the optimization objectives of minimizing the charging and discharging costs of
Abstract: Due to the difference in geographical location distribution, the spatiotemporal contradiction between supply and demand of charging piles is prominent. Most of the existing studies use EV
Monte Carlo simulation, based on charging probability models, is used to generate EV cluster entry information and preprocess parameters. Two control strategies are proposed for clean
Optimizing the energy storage charging and discharging strategy is conducive to improving the economy of the integrated operation of photovoltaic-storage charging.
Current orderly charging strategies primarily adopt two approaches: time-of-use pricing-based load management for unconnected charging piles (UCPs) and active load adjustment for
In this study, to develop a benefit-allocation model, in-depth analysis of a distributed photovoltaic-power-generation carport and energy-storage charging-pile project was performed; the model was
To this end, an optimization framework that incorporates FCSs and MCSs is proposed to meet the spatiotemporally distributed EV charging demands. A community energy storage system
To address the increased load peak-to-trough ratio and user costs caused by disorderly charging and discharging of electric vehicle charging piles in residential communities, an optimized operation
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