Multiobjective Optimization Model of Source-Load-Storage Synergetic Dispatch for a Building Energy Management System Based on TOU Price Demand Response

• Type: Article in International Scientific Journal
• Date: 2018

Authors

Fei Wang (Author) Other; Lidong Zhou (Author) Other; Hui Ren (Author) Other; Xiaoli Liu (Author) Other; Saber Talari (Author) Other; Miadreza Shafie-khah (Author) Other; João P. S. Catalão (Author) FEUP

Journal

Title: IEEE Transactions on Industry Applications

Vol. 54 No. 2

Pages: 1017-1028

ISSN: 0093-9994

Publisher: IEEE

Indexing

ISI Web of Knowledge - 160 Citations

Scopus - 205 Citations

Other information

Authenticus ID: P-00N-J6X

DOI: 10.1109/tia.2017.2781639

Abstract (EN): The optimized operation of a building energy management system (BEMS) is of great significance to its operation security, economy, and efficiency. This paper proposes a day-ahead multiobjective optimization model for the BEMS under time-of-use price-based demand response (DR), which integrates building integrated photovoltaic with other generations to optimize the economy and occupants' comfort by the synergetic dispatch of source-load-storage. The occupants' comfort contains three aspects of the indoor environment: visual comfort; thermal comfort; and indoor air quality comfort. With the consideration of controllable load that could participate in DR programs, the balances among different energy styles, electric, thermal, and cooling loads are guaranteed during the optimized operation. YALMIP toolbox in MATLAB was applied to solve the optimization problem. Finally, a case study was conducted to validate the effectiveness and adaptability of the proposed model.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 12