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首页> 外文期刊>Electric power systems research >Fuzzy logic-based autonomous controller for electric vehicles charging under different conditions in residential distribution systems
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Fuzzy logic-based autonomous controller for electric vehicles charging under different conditions in residential distribution systems

机译：基于模糊逻辑的住宅配电系统中不同条件下的电动汽车充电自主控制器

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摘要

Integrating a fleet of electric vehicles (EVs) in the distribution system without a communication infrastructure exhibits several issues that need to be handled by electric utilities. Robust autonomous controllers are crucial in this case to manage the charging operation without violating the grid standard limits. This paper proposes a communication-free autonomous charging controller for EVs in distribution systems. The controller is based on fuzzy logic considering both the system voltage profile and the EV's battery state of charge (SOC). The fuzzy inference system is designed to avoid under voltage issues in the grid, flatten the system loading profile and accomplish fair charging among different EVs connected to the system. An 18-bus distribution system driven by the proposed controller was implemented in a simulation environment. The proposed controller performance was investigated under different distribution system operating conditions such as different loading, different levels of EV penetration, system reconfiguration as well as with distributed generation. In all cases, the controller demonstrated faster and better charging performance without violating the standard voltage limits compared to other research reported in the literature. (C) 2017 Elsevier B.V. All rights reserved.
机译：在没有通信基础设施的情况下，将一批电动汽车（EV）集成到配电系统中会出现一些电力公司需要解决的问题。在这种情况下，强大的自主控制器对于管理充电操作而不违反电网标准限制至关重要。本文提出了一种用于配电系统中的电动汽车的免通信自主充电控制器。控制器基于模糊逻辑，同时考虑系统电压曲线和EV的电池充电状态（SOC）。模糊推理系统旨在避免电网中出现欠压问题，展平系统负载曲线，并在连接到系统的不同电动汽车之间实现公平充电。在模拟环境中实现了由建议的控制器驱动的18总线配电系统。在不同的配电系统操作条件下，例如不同的负载，不同级别的EV渗透，系统重新配置以及分布式发电，研究了建议的控制器性能。在所有情况下，与文献中报道的其他研究相比，该控制器都展现出更快，更好的充电性能，而没有违反标准电压限制。 （C）2017 Elsevier B.V.保留所有权利。

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