在QoS保证下的充电站网络中的不可拆分负载均衡
Unsplittable Load Balancing in a Network of Charging Stations Under QoS Guarantees
摘要：
由于以电动汽车（EV）为代表的新的大负荷的增加以及由于可再生能源的并入而导致的更间歇性的供应，电网的运行变得更加紧张。因此，协调和控制快速充电站网络中的预计EV需求成为一个关键且具有挑战性的问题。在本文中，我们引入了一个基于博弈论的分散控制机制，以减轻电动汽车需求的负面影响。建议的机制考虑到电动汽车的非均匀空间分布，导致每个充电设施的电力需求不均匀，并旨在：（i）通过提供价格激励来避免使电网资源紧张，使得客户接受被路由到不那么繁忙的站，（ii）通过用相同数量的电网资源服务更多的客户来使总收入最大化，以及（iii）以一定的服务质量（QoS）水平向客户提供计费服务，后者被定义为长期客户阻塞概率。我们研究了三种逐渐接近现实世界设置的复杂性增加的情况。所获得的结果表明，所提出的框架导致在上述目标方面的性能大幅改善，相比目前的事态。
英文摘要：
The operation of the power grid is becoming more stressed, due to the addition of new large loads represented by Electric Vehicles (EVs) and a more intermittent supply due to the incorporation of renewable sources. As a consequence, the coordination and control of projected EV demand in a network of fast charging stations becomes a critical and challenging problem. In this paper, we introduce a game theoretic based decentralized control mechanism to alleviate negative impacts from the EV demand. The proposed mechanism takes into consideration the non-uniform spatial distribution of EVs that induces uneven power demand at each charging facility, and aims to: (i) avoid straining grid resources by offering price incentives so that customers accept being routed to less busy stations, (ii) maximize total revenue by serving more customers with the same amount of grid resources, and (iii) provide charging service to customers with a certain level of Quality-of-Service (QoS), the latter defined as the long term customer blocking probability. We examine three scenarios of increased complexity that gradually approximate real world settings. The obtained results show that the proposed framework leads to substantial performance improvements in terms of the aforementioned goals, when compared to current state of affairs.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
