一种可靠性感知的分布式电动汽车充电调度框架
A Reliability-aware Distributed Framework to Schedule Residential Charging of Electric Vehicles
摘要：
住宅消费者在配备住宅EV充电设施后已成为配电网络的积极参与者。这对负责以可靠的方式通过现有配电网络基础设施向住宅消费者调度电力的网络运营商提出了挑战。在本文中，我们解决的问题，调度多个消费者的住宅电动汽车充电，同时保持网络的可靠性。另一个挑战是信息交换受限：消费者无法访问网络信息，网络运营商无法访问消费者负载参数。我们提出了一个分布式的框架，它生成一个最佳的电动汽车充电时间表为个人住宅消费者根据他们的喜好和迭代更新，直到网络的可靠性约束设置的运营商得到满足。我们验证了不同的EV采用水平的综合创建的数字孪生的实际配电网络所提出的方法。结果表明，与住宅消费者仅根据个人偏好对电动汽车充电的情况相比，新方法可以实现更高水平的网络可靠性，从而为现有电网提供了一种解决方案，以跟上不断增长的采用率，而无需在增加电网容量方面进行重大投资。
英文摘要：
Residential consumers have become active participants in the power distribution network after being equipped with residential EV charging provisions. This creates a challenge for the network operator tasked with dispatching electric power to the residential consumers through the existing distribution network infrastructure in a reliable manner. In this paper, we address the problem of scheduling residential EV charging for multiple consumers while maintaining network reliability. An additional challenge is the restricted exchange of information: where the consumers do not have access to network information and the network operator does not have access to consumer load parameters. We propose a distributed framework which generates an optimal EV charging schedule for individual residential consumers based on their preferences and iteratively updates it until the network reliability constraints set by the operator are satisfied. We validate the proposed approach for different EV adoption levels in a synthetically created digital twin of an actual power distribution network. The results demonstrate that the new approach can achieve a higher level of network reliability compared to the case where residential consumers charge EVs based solely on their individual preferences, thus providing a solution for the existing grid to keep up with increased adoption rates without significant investments in increasing grid capacity.
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