论文标题
能源智能建筑：平行统一的成本搜索，储存和生成
Energy Smart Buildings: Parallel Uniform Cost-Search with Energy Storage and Generation
论文作者
论文摘要
物联网和智能电网的合并可以根据用户需求和动态能源价格对设备的能源进行最佳计划。此外，本地存储技术的进度要求利用其他灵活性来源。在本文中，我们提出了一种用于建筑运营管理的调度方法，考虑了诸如存储，当地能源生产和动态能源价格之类的因素。此外，我们提出了一种新的优化策略，以发现设备的最佳计划。我们的方法利用并行统一的成本搜索来探索复杂的搜索空间，并在用户可获得的时间内找到最佳时间表。评估利用了设备的现实数据，而价格信号则是按照微服务方法设计的，而体系结构的设计，实现了模块化和松动耦合。评估表明，与没有储能的计划相比，将当地存储作为优化问题的一部分，将总体成本降低了22.64％。相对于传统统一的成本搜索算法，平行统一的成本搜索将找到最佳时间表的时间减少了4.7倍。
The amalgamation of Internet of Things and the smart grid enables the energy optimal scheduling of appliances based on user needs and dynamic energy prices. Additionally, progress in local storage technology calls for exploiting additional sources of flexibility. In this paper, we propose a scheduling approach for building operation management, considering factors such as energy storage, local energy generation, and dynamic energy prices. In addition, we propose a new optimization strategy to discover the optimal scheduling of devices. Our approach utilizes parallel uniform cost-search to explore the complex search space and to find the optimal schedule within a user-acceptable amount of time. The evaluation utilizes real-world data for the devices, and the price signals, while the architecture is designed following a micro-service approach, enabling modularity and loose-coupling. The evaluation shows that including local energy storage as part of the optimization problem further reduces overall costs by up to 22.64\% when compared to schedules without energy storage. Parallel uniform cost-search decreases the time to find the optimal schedule by a factor of 4.7 with respect to the traditional uniform cost-search algorithm.
