Skip to content
Caravel Press

Conference paper

Optimal scheduling strategy for zero-emission buildings with virtual energy storage system

, , , ,

1Key Laboratory of Smart Grid of Ministry of Education, 92 Weijin Road, Nankai District, Tianjin, China

2Institute of Electrical Engineering, Chinese Academy of Sciences, No. 6 Beiertiao, Zhongguancun, Beijing, China

3China Renewable Energy Engineering Institute Co., Ltd., No. 57, Dajia, Andingmenwai, Dongcheng District, Beijing, China

Published
12 December 2024
Pages
293-301
Received
12 December 2024
DOI
10.65582/set.2024.190
Access
Open access, © 2024 Copyright University of Nottingham & WSSET
Download PDF9 pages · 969 KB

Abstract

The virtual energy storage system (VESS) represents a novel technology that integrates building envelope performance with heating and cooling equipment. Zero-emission buildings (ZEB) exhibit optimal envelope performance and employ renewable energy generation, battery energy storage system (BESS) and controllable loads can not only achieve their own zero-emission status, but also provide flexible resources to the grid for revenue generation by combining BESS and VESS. A three-period optimal operation strategy for ZEBs that takes into account the VESS proposed. This strategy divides the scheduling periods into three parts: weekly, daily and hourly. In the weekly period, the SOC of the BESS and VESS at the beginning and end of each day are determined based on the activity list provided by the users with the objective of minimising the weekly operating cost. In the daily period, the controllable loads (washing machine, dryer), BESS and VESS are optimised with the objective of minimising the daily deviation of the BESS, taking into account the daily needs of the occupants. In the hourly period, BESS, VESS and household appliance status are solved for each scheduling hour on a rolling basis, combined with a model predictive control approach. The effectiveness of the proposed method and VESS is verified through comparative simulations.

Keywords. Optimal Scheduling Strategy; Zero-Emission Building; Virtual Energy Storage System; Model Predictive Control