Multi-heterogeneous energy (MHE) system includes both energy systems: regional-level and park-level. Energy hub station (EHS) is the energy interaction hub between regional-level energy system and park-level energy users. In order to achieve the multi-energy optimal dispatching, it is very essential to properly coordinate the lean modeling and fast solution of MHE system. In this paper, the component-level modeling and linearization method of MHE system is studied. Furthermore, an improved unified modeling and linearization method for energy hub station is proposed to obtain energy optimal dispatching. In the case study, 39-node power system and 20-node natural gas system are utilized as regional energy networks, and two energy hub stations are constructed as park-level energy hubs. Based on the hierarchical optimization structure, the simulation analysis is carried out. Compared with the nonlinear solution methods, the effectiveness of the proposed method is verified in terms of solution accuracy and calculation time.

Integrated modeling of regional and park-level multi-heterogeneous energy systems

Siano P.
2022-01-01

Abstract

Multi-heterogeneous energy (MHE) system includes both energy systems: regional-level and park-level. Energy hub station (EHS) is the energy interaction hub between regional-level energy system and park-level energy users. In order to achieve the multi-energy optimal dispatching, it is very essential to properly coordinate the lean modeling and fast solution of MHE system. In this paper, the component-level modeling and linearization method of MHE system is studied. Furthermore, an improved unified modeling and linearization method for energy hub station is proposed to obtain energy optimal dispatching. In the case study, 39-node power system and 20-node natural gas system are utilized as regional energy networks, and two energy hub stations are constructed as park-level energy hubs. Based on the hierarchical optimization structure, the simulation analysis is carried out. Compared with the nonlinear solution methods, the effectiveness of the proposed method is verified in terms of solution accuracy and calculation time.
2022
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4804966
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