4.7 Article

Multi-party energy management for smart building cluster with PV systems using automatic demand response

Journal

ENERGY AND BUILDINGS
Volume 121, Issue -, Pages 11-21

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.enbuild.2016.03.072

Keywords

Smart building cluster; Energy management; Demand response; Nash equilibrium; Iterative method

Funding

  1. National High-tech R&D Program of China (863 Program) [2014AA052001]

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In a smart grid environment, the joint operation of multiple Smart Buildings (SBs) could be more advantageous than the independent operation of each individual SB. In order to enable the joint operation, the concept of Smart Building Cluster (SBC) is introduced in this paper. An energy management framework for achieving optimal operations of SBC is proposed, and the information exchange processes between the Smart Building Cluster Operator (SBCO) and the participating SBs are described. A multi-party energy management model for SBC based on non-cooperative game theory is proposed, considering building integrated PV systems and automatic demand response (ADR), with all participating SBs viewed as players in the game. The existence of Nash equilibrium in the game model is proved, and the process for solving the Nash equilibrium strategy is modeled as a multi-objective optimization problem (MOP). Furthermore, the solution method and procedure based on an iterative method are proposed. Finally, via a practical example, the effectiveness of the model is verified. The proposed method is able to reduce the total cost of the SBs by 4.6% and improve the load factor of the SBC from 0.68 to 0.76 when the proportion of shiftable loads is 25% in the total load profile. (C) 2016 Elsevier B.V. All rights reserved.

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