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Photovoltaic-grid Complementary Electric Charging System Based on Whale Optimization Algorithm

机译:基于鲸井优化算法的光伏电网互补电荷系统

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This paper proposes a photovoltaic-grid complementary electric vehicle charging system based on whale optimization algorithm, including control part, traditional electric energy and photovoltaic energy supply part and electric vehicle charging equipment part. The electric vehicle is charged by the complementary power supply mode of photovoltaic energy and traditional grid power. The control system uses the whale optimization algorithm to dynamically plan the use of the charging equipment in different periods of time to optimize the utilization of photovoltaic and grid power. The photovoltaic-grid complementary electric charging system based on the whale optimization algorithm can effectively improve the user's satisfaction with the charging of electric vehicles, plan the utilization of new energy and grid energy, realize the economical efficiency of energy utilization, and reduce the energy use cost.
机译:本文提出了一种基于鲸尔优化算法的光伏电网互补电动车辆充电系统,包括控制部分,传统电能和光伏能量供应部件和电动车辆充电设备部件。电动车辆通过光伏能量和传统网格动力的互补电源模式充电。控制系统使用鲸鲸优化算法在不同的时间段中动态地计划充电设备,以优化光伏和电网功率的利用。基于鲸鱼优化算法的光伏电网互补电荷系统可以有效地提高用户对电动汽车充电的满意度,计划利用新能源和电网能量,实现能源利用的经济效益,降低能源使用成本。

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