Development of a dual digital signal processor based cyber-physical system model for a multi-carrier energy system. (30th July 2022)

• Record Type: Journal Article
• Authors: Cao, Ganglin; Wang, Yaqian; Zhang, Hongxia; Li, Qiangqiang; Huang, Caisun; Zhang, Xiongwen; Li, Guojun
• Is Part Of: International journal of hydrogen energy. Volume 47:Number 65(2022)
• Page Start: 28095
• Page End: 28110
• Publication Date: 2022-07-30
• Subjects: Multi-carrier energy system -- Cyber-physical system -- Digital signal processor -- Energy node; Hydrogen as fuel -- Periodicals; Hydrogène (Combustible) -- Périodiques; Hydrogen as fuel; Periodicals; 665.81
• DOI: 10.1016/j.ijhydene.2022.06.127
• Languages: English
• ISSNs: 0360-3199

Abstract

Abstract: Multi-energy systems are under exploration for a variety of benefits that can provide multi-energy demands with combined electricity, heat and gas, the most widespread energy demands, to end-users. To satisfy such requirements, this paper integrates a multi-carrier energy system (MCES), including electricity, heat and hydrogen with the cyber-physical system (CPS) model to establish a novel energy CPS. Firstly, the finite state machine (FSM) and the time series method are used to establish a unified CPS architecture of energy nodes. Simultaneously, the embedded architecture of the dual digital signal processor (DSP) system at the energy node level is proposed to implement external control and internal self-control for the energy CPS. Secondly, the CPS modeling method in MCES is conducted by analyzing multi-class energy nodes including energy source nodes, energy conversion nodes, energy storage nodes and energy end-user nodes. Subsequently, the physical system, information system and control system of a reversible solid oxide fuel cell (RSOFC) node and the dynamic operation of MCES are analyzed and simulated by introducing the CPS model, where the controllability and interactivity of the designed energy CPS model are further demonstrated. Highlights: An embedded architecture of a dual DSP system at the energy node is proposed. The finite state machine and time series method are established. An energy node of an RSOFC and an MCES based on the CPS model is investigated.