基于能耗计划和瞬时负荷计费的自治需求侧管理：一种聚合博弈方法
Autonomous Demand Side Management Based on Energy Consumption Scheduling and Instantaneous Load Billing: An Aggregative Game Approach
摘要：
在本文中，我们研究了一个实际的需求侧管理的情况下，自私的消费者竞争，以尽量减少他们的个人能源成本，通过调度他们的未来能源消费配置文件。我们提出了一个瞬时负荷计费方案，以有效地说服消费者转移他们的高峰时间消费，并公平地收取消费者的能源消耗。对于所考虑的需求侧管理方案，首先制定了一个聚合博弈模型的自私的消费者的战略行为。运用变分不等式理论，分析了该博弈纳什均衡存在唯一的条件。随后，对于有一个中央单元计算和发送的实时聚合负载的所有消费者的情况下，我们开发了一个时标分布式迭代邻近点法与可证明收敛，以实现NE制定的游戏。最后，考虑到另一种情况下，中央单元不存在，但消费者连接，他们希望与他人分享他们的估计信息，我们提出了一个分布式的基于协议的算法，通过该算法的消费者可以实现制定的游戏通过与他们的近邻交换信息的NE。
英文摘要：
In this paper, we investigate a practical demand side management scenario where the selfish consumers compete to minimize their individual energy cost through scheduling their future energy consumption profiles. We propose an instantaneous load billing scheme to effectively convince the consumers to shift their peak-time consumption and to fairly charge the consumers for their energy consumption. For the considered DSM scenario, an aggregative game is first formulated to model the strategic behaviors of the selfish consumers. By resorting to the variational inequality theory, we analyze the conditions for the existence and uniqueness of the Nash equilibrium (NE) of the formulated game. Subsequently, for the scenario where there is a central unit calculating and sending the real-time aggregated load to all consumers, we develop a one timescale distributed iterative proximal-point algorithm with provable convergence to achieve the NE of the formulated game. Finally, considering the alternative situation where the central unit does not exist, but the consumers are connected and they would like to share their estimated information with others, we present a distributed agreement-based algorithm, by which the consumers can achieve the NE of the formulated game through exchanging information with their immediate neighbors.
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。
