Thermoelectric optimization of an integrated energy system with hydrogen energy storageconsidering thermal energy dynamic balance
DOI：10.19783/j.cnki.pspc.220758
Key Words:thermal energy dynamic balance  hydrogen energy system  hydrogen fuel cell  thermoelectric optimization  integrated energy system
Author NameAffiliation
CHU Zhuang School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China 
ZHAO Lei School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China 
SUN Jianhao School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China 
SUN Xu School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China 
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Abstract:In an integrated energy system, the power and thermal systems are coupled by combined heat and power units, electric boilers and other devices. Coordination in the management of electricity and heat in the system can improve operational flexibility and provide a new way of absorbing renewable energy. To this end, this paper proposes a thermoelectric optimization model for an integrated energy system with hydrogen storage considering dynamic thermal balance. First, a hydrogen energy system model is established, in which a refined model is formulated of electrolyzers, hydrogen fuel cells and other equipment in the system. It fully taps the utilization potential of hydrogen energy to improve operational economy. Second, based on the ambiguity of user requirements for room temperatures, thermal power relaxation terms are introduced to maintain thermal energy dynamic balance and improve the flexibility of equipment output. Finally, a thermoelectric optimal dispatch model of integrated energy systems is established, in which minimizing operating cost of an integrated energy system is taken as the objective function, and the energy balances and network securities are taken as the constraints. The simulation results show that the proposed model can reduce the operating cost and improve wind power consumption while meeting user energy demand. This work is supported by the National Natural Science Foundation of China (No. 52077030).
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