An Intelligent Multi-objective EV Charging Architecture with Enhanced Power Quality Operation

Debasish Mishra, Bhim Singh, B. Panigrahi
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Abstract

This paper presents a reconfigurable multi-objective charging control architecture to overcome various grid abnormalities during EV charging operation. It depicts a novel least mean square algorithm to accurately evaluate active and reactive power demand during EV charging operation through renewable and battery integration. The control architecture ensures an uninterrupted charging provision by participating in low voltage ride through operation. The charging architecture coordinates the multi-stage control to establish a seamless charging operation through grid-following and grid-forming operations. The charging unit provides both AC and DC charging facilities through decentralized control management and ensures an improved power quality during grid following operations. The control algorithm is developed in MATLAB and Simulink environment and validated through a single-phase Level-I utility charging architecture.
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一种提高电能质量运行的智能多目标电动汽车充电架构
针对电动汽车充电过程中各种电网异常情况,提出了一种可重构的多目标充电控制体系结构。提出了一种新颖的最小均方算法,通过可再生能源和电池的集成来准确评估电动汽车充电过程中的有功和无功需求。控制体系结构通过参与低电压运行确保不间断充电。充电架构协调多阶段控制,通过电网跟随和成网操作建立无缝充电运行。充电单元通过分散控制管理提供交流和直流充电设施,确保电网后续运行期间电能质量的提高。在MATLAB和Simulink环境下开发了控制算法,并通过单相一级公用事业充电体系结构进行了验证。
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