Capacity optimal configuration and collaborative planning of multi-region integrated energy system

Zhaoyan Zhang, Ping Jiang, Zhibin Liu, Lei Fu and Peiguang Wang

Energy, 2023, vol. 278, issue PB

Abstract: At present, the integrated energy system (IES) is designed and built separately according to the peak load of respective regions, without considering the combination of multi-regional energy, which will lead to low energy efficiency of equipment and decline of economic benefits. In this paper, considering heating networks, a multi-region IES collaborative planning model is proposed. For the ring-shaped heating network between the various regional CCHP systems, a heating network model is established considering the node flow balance, thermal energy-flow constraint and thermal loss balance constraint. Combining the energy balance constraint of the CCHP system and the heating network model, a mixed integer linear programming (MILP) model of the capacity of the multi-region CCHP system for the collaborative optimization is established. Finally, a comprehensive area in China Xiongan New Area is taken as an example for simulation analysis. In view of the four types of users, including business area, office area, residential area, industrial area, the two scenarios are deeply compared and analyzed. The saving rate of scenario 2 compared with scenario 1 is about 8.95%. The multi-region collaborative planning and optimize operation in this paper can greatly improve gas turbine utilization, reduce gas boiler configuration capacity, minimize thermal energy transmission loss, and significantly reduce operating costs.

Keywords: Heating network model; Combined cooling; Heating and power; Integrated energy system; Collaborative planning (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:278:y:2023:i:pb:s0360544223013646

DOI: 10.1016/j.energy.2023.127970

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