基于博弈论的智能家居联盟

Adia Khalid, N. Javaid, Abdul Mateen, M. H. Rahim, M. Ilahi
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引用次数: 5

摘要

智能电表基础设施的集成有助于双向协调,并用于收集大量数据。它有助于预测电力需求和发电量。这进一步帮助能源管理单位对灵活的电力需求进行规划和采取有效的决策。然而,消费者的电力需求仍有可能出现波动。它需要一个能够管理实时场景的有效解决方案。本文提出了一种基于博弈论的能源管理联盟系统,其中每个家庭都被视为一个参与者,集约化为闲置电力。这些闲置的能量将根据需求使用Shapley值在家庭中均匀分配。实验结果表明,在一天的不同时段,可节省14.2kW的额外电力并分配给不同的家庭。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart Homes Coalition Based on Game Theory
The integration of smart meter infrastructure helps in bidirectional coordination and is used to gather huge amount of data. It helps in forecasting the power demand and generation. This further helps the energy management units to plan and take the efficient decisions for flexible power demand. However, still there is a chance of fluctuation in consumers' power demand. It requires an efficient solution that can manage the real time scenario. In this work, a game theory based coalition system for energy management is proposed where each home is considered as a player and intensive as slack power. This slack energy will be distributed among the homes using Shapley value that evenly distribute the power according to demand. Experimental results show that 14.2kW extra power is saved and distributed among homes different home during the different spans of the day.
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