Online Optimal Energy Management for Building Heating with Thermal Energy Storage

Mengfan Cao; Shibo Chen; Haoyu Miao; Zaiyue Yang

10.1109/CDC51059.2022.9992524

2022

IEEE 61st Conference on Decision and Control (CDC)

0743-1546

2576-2370

978-1-6654-6762-9

2022 IEEE 61st Conference on Decision and Control (CDC)

4419-4424

6-9 Dec. 2022

Cancun, Mexico

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

This paper studies the online optimal energy management problem for the building heating system. This system is driven by electric heat pumps, and equipped with the thermal energy storage (TES) that provides heat flexibility. The temporal coupling introduced by building temperature dynamics and TES energy level dynamics, together with the uncertainties of real-time electricity price and outdoor temperature, pose the optimal energy management problem a computationally challenging one. Hence, based on the Lyapunov optimization method, an online algorithm is proposed to minimize the long-term time average cost of heating system. Our algorithm can ensure the building temperature constraints and TES energy level constraints are satisfied all the time. The maximum optimality gap of our algorithm is also rigorously derived. Simulation results show that this algorithm can achieve user comfort and reduce energy cost effectively.

Costs Uncertainty Simulation Heuristic algorithms Buildings Optimization methods Energy management

First

English

CPCI-S

National Key Research and Development Program of China[2019YFB1705401] ; Natural Science Foundation of China["61903179","61873118"] ; Science, Technology and Innovation Commission of Shenzhen Municipality["ZDSYS20200811143601004","RCBS20200714114918137","20200925174707002"]

Automation & Control Systems ; Engineering

Automation & Control Systems ; Engineering, Electrical & Electronic

WOS:000948128103112

IEEE

Department of Mechanical and Energy Engineering, Shenzhen Key Laboratory of Biomimetic Robotics and Intelligent Systems and the Guangdong Provincial Key Laboratory of Human-Augmentation and Rehabilitation Robotics in Universities, Southern University of Science and Technology, Shenzhen, China

Mengfan Cao,Shibo Chen,Haoyu Miao,et al. Online Optimal Energy Management for Building Heating with Thermal Energy Storage[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2022:4419-4424.