ALGORITHM FOR PRIORITY CHARGING IN A DC MICRO-GRID

U. Sowmmiya, Aditya Prasad Chakrabartty, Chaitanya Tyagi
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Abstract

With the increasing electric vehicles (EVs), the power grid will be impacted for charging the EVs. In order to manage EVs charging, there is a need for an intelligent charging strategy that supports EVs charging while preventing the power grid from overloading. In this paper, an algorithm is proposed for optimal charging of the batteries based on priority. The priority determination rules are calculated according to source voltage, current state-of-charge (SOC), battery capacity and battery current. The proposed algorithm considers real-time price (RTP) in order to minimize charging cost without increasing peak load. Intelligent charging strategies are needed in order to minimize electric vehicles charging cost without violating the operational constraints of the electric power grid with an extra burden. This work aims to design an optimal scheduling algorithm for managing electric vehicles charging using droop control.
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直流微电网优先充电算法
随着电动汽车数量的增加,电动汽车的充电将对电网产生影响。为了对电动汽车充电进行管理,需要一种既能支持电动汽车充电,又能防止电网过载的智能充电策略。本文提出了一种基于优先级的电池最优充电算法。根据电源电压、荷电状态(SOC)、电池容量和电池电流计算优先级确定规则。该算法考虑实时电价(RTP),在不增加峰值负荷的情况下使充电成本最小化。为了使电动汽车充电成本最小化,同时又不增加电网的额外负担,需要采用智能充电策略。本文旨在设计一种基于下垂控制的电动汽车充电最优调度算法。
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International Journal of Electrical Engineering and Technology
International Journal of Electrical Engineering and Technology Energy-Energy Engineering and Power Technology
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