Hierarchical management for building microgrid considering virtual storage system and plug-in electric vehicles

Jin, Xiaolong, Mu, Yunfei, Jia, Hongjie, Wu, Jianzhong ORCID: https://orcid.org/0000-0001-7928-3602, Xu, Xiandong, Yu, Xiaodan and Qi, Fengyu 2016. Hierarchical management for building microgrid considering virtual storage system and plug-in electric vehicles. Energy Procedia 103 , pp. 219-224. 10.1016/j.egypro.2016.11.276

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Abstract

This paper aims to develop a hierarchical management strategy for the building microgrid. The proposed hierarchical framework is presented as day-ahead scheduling stage and a two-layer intra-hour adjustment stage. Firstly, a virtual storage system (VSS) model is developed by utilizing the heat storage characteristics of a building. Then, the VSS model is integrated into the developed hierarchical management strategy of the building microgrid, which is presented as a day-ahead optimal economic scheduling stage for the minimum operation cost and an intra-hour adjustment stage to follow the tie-line power set-points. In the intra-hour real-time adjustment, a master–client structure is designed. The VSS and plug-in electric vehicles (EVs) are coordinated by a method with two different time scales in order to execute the schedule and handle uncertainties from the load demand, outdoor environment and the renewable generation in the intra-hour adjustment stage. Numerical studies demonstrate that the proposed strategy can contribute to the operation cost reduction in day-ahead scheduling stage and tie-line power smoothing in intra-hour adjustment stage, while guarantee the customer temperature comfort level and EVs travelling demands at the same time.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Engineering
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Uncontrolled Keywords:	Hierarchical management; Building microgrid; Virtual storage System (VSS); Two-layered scheduling
Publisher:	Elsevier
ISSN:	1876-6102
Last Modified:	02 Nov 2022 10:20
URI:	https://orca.cardiff.ac.uk/id/eprint/98301

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