Sliding window games for cooperative building temperature control using a distributed learning method

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Frontiers of Engineering Management

2017, Volume 4, Issue 3, Pages 304-314

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Sliding window games for cooperative building temperature control using a distributed learning method

10.15302/J-FEM-2017045

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Abstract

In practice, an energy consumer often consists of a set of residential or commercial buildings, with individual units that are expected to cooperate to achieve overall optimization under modern electricity operations, such as time-of-use price. Global utility is decomposed to the payoff of each player, and each game is played over a prediction horizon through the design of a series of sliding window games by treating each building as a player. During the games, a distributed learning algorithm based on game theory is proposed such that each building learns to play a part of the global optimum through state transition. The proposed scheme is applied to a case study of three buildings to demonstrate its effectiveness.

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game theory ; demand response ; HVAC control ; multi-building system

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Frontiers of Engineering Management

Sliding window games for cooperative building temperature control using a distributed learning method

Abstract

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Outline

Figures(5)

标签(1)

其他(2)

Frontiers of Engineering Management

Sliding window games for cooperative building temperature control using a distributed learning method

Abstract

Keywords

评论

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