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基于雾平台和智能电表基础设施的联盟博弈论的智能建筑能源管理系统。

Energy management system in smart buildings based coalition game theory with fog platform and smart meter infrastructure.

机构信息

Electrical Engineering Department, Faculty of Engineering, Mansoura University, Mansoura, 35516, Egypt.

Communications Engineering Department, Mansoura Higher Institute of Engineering and Technology, El-Mansoura, Egypt.

出版信息

Sci Rep. 2023 Feb 4;13(1):2023. doi: 10.1038/s41598-023-29209-4.

DOI:10.1038/s41598-023-29209-4
PMID:36739304
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9899284/
Abstract

This paper proposes a central energy management system (EMS) in smart buildings. It is based on the coalition method for optimal energy sharing between smart buildings. Game theory is applied to obtain an optimal allocation of the building's surplus energy on the deficient energy buildings using the Shapley value, which enables the unequal energy distribution based on the energy demand. The main objective is reducing energy waste while preserving the generation/demand balance. The fog platform with memory storage is applied, which handles all the measured data from the smart buildings through Wi-Fi-based communication protocol and performs the EMS program. The smart meter links the smart buildings with the fog-based EMS central unit. Two scenarios are implemented based on the difference between total deficient and surplus energy. Coalition game theory is applied for optimal surplus energy allocation on deficient buildings when the total energy surplus is lower than the total energy deficient. Also, there is a one-to-one relationship between the surplus and deficient building; if the surplus energy is larger than the deficit, the extra surplus energy is stored for further usage. The proposed EMS is applied and tested using a smart city with 10 buildings in the MATLAB program. A comparison between the result obtained with and without applying the proposed method is performed. The performance of the fog platform is introduced based on the run and delay time and the memory size usage. The results show the effectiveness of the proposed EMS in a smart building.

摘要

本文提出了一种智能建筑中的中央能源管理系统（EMS）。它基于联合方法，用于在智能建筑之间实现最优的能源共享。博弈论被应用于通过 Shapley 值在有剩余能源的建筑物之间获得最优的能源分配，从而根据能源需求实现能源的不平等分配。主要目标是在保持发电/需求平衡的同时减少能源浪费。应用了具有存储功能的雾平台，该平台通过基于 Wi-Fi 的通信协议处理来自智能建筑的所有测量数据，并执行 EMS 程序。智能电表将智能建筑与基于雾的 EMS 中央单元连接起来。根据总能源不足和总能源过剩之间的差异，实施了两种方案。当总能源过剩低于总能源不足时，应用联盟博弈论对有剩余能源的建筑物进行最优的剩余能源分配。此外，剩余建筑物和不足建筑物之间存在一对一的关系；如果剩余能源大于赤字，多余的剩余能源将被储存以备将来使用。该 EMS 已在包含 10 座建筑物的 MATLAB 程序中的智能城市中进行了应用和测试。对应用和未应用所提出方法的结果进行了比较。基于运行时间和延迟时间以及内存使用情况，介绍了雾平台的性能。结果表明了所提出的 EMS 在智能建筑中的有效性。

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