Abstract
The traffic and user have significant impacts on the electric vehicle (EV) charging load but are not considered in the existing research. We propose a novel integrated simulation framework considering the traffic, the user, and power grid as well as the EV traveling, parking and charging based on cellular automaton (CA). The traffic is modeled by the traffic module of the proposed framework based on CA, while the power grid and user are modeled in the EV charging module. The traffic flow, user's charging preference, user's charging satisfaction, and the total supply capability (TSC) in the surveyed region are considered in the proposed framework. Two cases are carried out to show the interactions between the user and power grid. It is shown that the proposed framework can accurately simulate the interactions among traffic situation, user's behavior and TSC, which are significantly lacking in the existing research. The proposed framework is scalable in considering additional interrelated elements.
Highlights
ELECTRIC vehicle (EV) is critical for alleviating energy dilemmas and the greenhouse effect [1]
Total supply capability (TSC) of a dis‐ tribution system is defined as the maximum load, which serves under the N - 1 guideline, considering the capacities of substation transformers and feeder, network topology, and some operation constraints [4]
It would be highly beneficial to develop an overall integrated simulation framework to explore the interactions in the cou‐ pled driving, parking, and charging system, which considers the traffic, user, and power grid as a whole
Summary
ELECTRIC vehicle (EV) is critical for alleviating energy dilemmas and the greenhouse effect [1]. Date of Cross‐ Check: August 12, 2020. The multi-agent method is used to obtain a large-scale tempo-spatial distribution of EV charging in [15], which proposes a simulation method of EV charging characteristics considering the traffic situation. The user’s behavior is not considered in this method and the accuracy of Monte Carlo method is LIU et al.: ELECTRIC VEHICLE CHARGING SIMULATION FRAMEWORK CONSIDERING TRAFFIC, USER, AND POWER GRID insufficient in the simulation of dynamic traffic process. It would be highly beneficial to develop an overall integrated simulation framework to explore the interactions in the cou‐ pled driving, parking, and charging system, which considers the traffic, user, and power grid as a whole. The main contribution of this paper is the development of an integrated simulation framework considering the traffic, user, and power grid to analyze the interactions among them. To highlight the advantages of the proposed framework, Ta‐ ble I presents the comparison between the proposed frame‐ work and the existing methods
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