A Lyapunov Optimization-Based Energy Management Strategy for Energy Hub With Energy Router

• Published in: IEEE transactions on smart grid Vol. 11; no. 6; pp. 4860 - 4870
• Main Authors: Li, Penghua, Sheng, Wanxing, Duan, Qing, Li, Zhen, Zhu, Cunhao, Zhang, Xinyu
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.11.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Batteries; Cooling; Electrical loads; energy hub (EH); Energy management; Energy router; Energy storage; Greedy algorithms; Integrated energy systems; Lyapunov optimization; Natural gas; Optimization; Penalty function; Power systems; Resistance heating; Smart grid; Space heating; Stochastic processes; Strategy; virtual queue
• ISSN: 1949-3053; 1949-3061
• DOI: 10.1109/TSG.2020.2968747

The energy crisis and increasing concerns about the environment in modern society have fostered the development of the integrated energy system (IES) in smart grid. The energy hub (EH) is a minimum construction of the IES. The chief purpose of this paper is to propose a Lyapunov optimization-based energy management strategy for the energy hub with an energy router. First, this paper describes a configuration of the EH with an energy router and sets the basic operating principles of the energy router. Second, a method is proposed to analyze the energy balance equations of the EH. Furthermore, the problem of energy management is formulated considering the constraints of energy balance equations, energy storage, flexible loads, and other constraints of operation. Finally, energy storage and flexible electric loads are modeled as stochastic processes, and three virtual queues are constructed to relax these constraints. The Lyapunov drift-plus-penalty function is applied to formulate a relaxed form of the energy management problem. Case studies of a single EH and two-connected EHs are performed to test the effectiveness of the proposed strategy, and the results are compared with a greedy algorithm.