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Using publish/subscribe middleware for distributed EV charging optimization

机译:使用发布/订阅中间件进行分布式EV充电优化

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This paper explores advantages that a publish/subscribe middleware can offer for the implementation of an efficient and reliable electric vehicle (EV) charging control infrastructure. We propose distributed optimization publish and subscribe (DOPS), a framework for distributed optimization of EV charging, which works on top of a pub/sub middleware and extends it to support in-network aggregation. For our evaluation, we deployed DOPS in a testbed consisting of 15 virtual machines connected via a VLAN network and compared three different communication schemes: centralized, decentralized and decentralized with aggregation. Our results show that for up to 120 EVs a centralized approach is faster. However, the trends reveal that for more than 150 EVs a decentralized approaches will offer better performance. Moreover, we demonstrate that the in-network aggregation feature of DOPS doubles the performance of the decentralized approach. Our results thus confirm that distributed control infrastructures can benefit from using pub/sub middleware.
机译:本文探讨了发布/订阅中间件可以为实施高效,可靠的电动汽车(EV)充电控制基础设施提供的优势。我们提出了分布式优化发布和订阅(DOPS),一种用于EV充电的分布式优化的框架,该框架可在发布/订阅中间件之上运行并将其扩展以支持网络内聚合。为了进行评估,我们在由15个通过VLAN网络连接的虚拟机组成的测试台中部署了DOPS,并比较了三种不同的通信方案:集中式,分散式和分散式聚合。我们的结果表明,对于多达120辆电动汽车,集中式方法更快。然而,趋势表明,对于超过150辆电动汽车,分散式方法将提供更好的性能。此外,我们证明了DOPS的网络内聚合功能使分散方法的性能提高了一倍。因此,我们的结果证实,分布式控制基础结构可以从使用发布/预订中间件中受益。

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