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Agent-based bidirectional charging algorithms for battery electric vehicles in renewable energy communities
Energy Informatics Pub Date : 2020-10-28 , DOI: 10.1186/s42162-020-00122-8
Arne Surmann , Rohit Walia , Robert Kohrs

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.

中文翻译:

基于代理的可再生能源社区中的电动汽车双向充电算法

本文介绍了一个在本地能源社区中基于代理的电池电动车(BEV)自主充电和放电的框架。根据负载和发电量预测,对代理进行编程以根据绿色能源利用激励措施控制双向充电。遵循使用多个自组织代理的完全分布式方法,在一组独立生产者中实现了优化。不需要中央实例进行通信,计费或决策。为了证明该系统的生态效益,对居民区中带有光伏(PV)厂的停车场进行了仿真。仿真结果表明,社区光伏自耗值增加了48%,而充电过程不受控制的情况下为29%。
更新日期:2020-10-30
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