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Agent-based bidirectional charging algorithms for battery electric vehicles in renewable energy communities

机译:可再生能源社区的电池电动汽车的基于代理的双向充电算法

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This paper introduces a framework for agent based autonomous charging and discharging of Battery Electric Vehicle (BEV) at local energy communities. Agents are programmed to control the bidirectional charging according to green energy utilisation incentives, based on load and generation forecasts. The optimization is achieved within a group of independent prosumers following a fully distributed approach using multiple self-organising agents. No central instance is needed for communication, billing or decision making. To demonstrate the ecological benefits of the system, simulations for a car pool, with a Photovoltaic (PV) plant, in a residential neighborhood were performed. The simulations resulted in an increased community PV self-consumption value of 48% compared to 29% in case of uncontrolled charging processes.
机译:本文介绍了基于代理的自主充电和电池电动车辆(BEV)的框架框架。 代理程序被编程为基于负载和生成预测,根据绿色能源利用率激励控制双向充电。 在使用多个自组织代理的完全分布方法之后,在一组独立的检测中实现了优化。 沟通,计费或决策不需要中央实例。 为了证明系统的生态效益,在住宅邻域中进行具有光伏(PV)植物的汽车池的模拟。 在不受控制的充电过程的情况下,模拟增加了48%的群落PV自耗价值48%。

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