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.
翻译:住宅消费者在获得住宅EV收费规定后,已成为电力分配网络的积极参与者。这给负责通过现有分销网络基础设施向住宅消费者发送电力的网络运营商带来了挑战。在本文件中,我们处理将住宅EV收费安排在多个消费者身上,同时保持网络可靠性的问题。另一个挑战是限制信息交流:消费者无法获得网络信息,网络运营商无法获得消费者负荷参数。我们提议了一个分布式框架,根据个人居民消费者的偏好,为他们制定一个最佳的EV收费时间表,并反复更新,直到满足运营商确定的网络可靠性限制。我们验证了拟议办法,将不同EV的采纳水平放在一个合成的、实际电力分配网络数字双胞胎中。结果显示,与住宅消费者仅根据个人偏好收取EV的情况相比,新的办法可以实现更高的网络可靠性,从而为现有电网提供了一种解决方案,以便在不对提高电网容量进行重大投资的情况下,保持更高的采纳率。