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User-Aware Game Theoretic Approach for Demand Management

机译：需求管理的用户感知游戏理论方法

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Demand-management programs intend to maintain supply-demand balance and reduce the total energy cost. In this paper, we propose a user-aware demand-management approach that manages residential loads while taking into consideration user preferences. Maximizing users’ savings and comfort can be two contradicting objectives. We identify a trade-off between these two objectives and propose an energy consumption optimization model, as well as a game theoretic approach to take this trade-off into account. User comfort is modeled in a simple yet effective way that considers waiting time, type of appliance, as well as a weight factor to prioritize comfort over savings. The proposed game is based on a modified regret matching procedure and borrows advantages of both centralized and decentralized schemes. Through simulations, we show that the proposed approach is scalable, converges in acceptable times, introduces a very limited amount of overhead in the system, achieves very high cost savings, and preserves users’ preferences. Extensive simulations are used to evaluate the performance of the optimization model and the proposed approach.
机译：需求管理计划旨在保持供需平衡并降低总能源成本。在本文中，我们提出了一种用户感知的需求管理方法，该方法可以在考虑用户偏好的同时管理住宅负荷。最大化用户的储蓄和舒适度可能是两个相互矛盾的目标。我们确定了这两个目标之间的折衷，并提出了能耗优化模型，以及考虑这种折衷的博弈论方法。用户舒适度的建模简单而有效，它考虑了等待时间，设备类型以及权衡因素，从而使舒适度优先于节约。所提出的游戏基于改进的后悔匹配程序，并借鉴了集中式和分散式方案的优势。通过仿真，我们证明了所提出的方法是可扩展的，在可接受的时间内收敛，在系统中引入了非常有限的开销，节省了很高的成本，并保留了用户的偏好。广泛的仿真用于评估优化模型和所提出方法的性能。

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