4.6 Article

A Planning Method of Regional Integrated Energy System Based on the Energy Hub Zoning Model

Journal

IEEE ACCESS
Volume 9, Issue -, Pages 32161-32170

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2021.3061199

Keywords

Planning; Couplings; Energy conversion; Energy storage; Resistance heating; Natural gas; Periodic structures; Integrated energy system; energy hub; configuration planning; topological layering

Funding

  1. National Natural Science Foundation of China [51977074]

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The ZPM method utilizes the energy hub model and directed acyclic graph concept to effectively plan the structure and equipment configuration of regional integrated energy systems, improving the solution speed of the planning model.
Integrated energy system (IES) has the advantages of improving energy efficiency, optimizing energy structure and reducing pollutant emissions, so it has become one of the most effective measures to solve the energy and environmental problems. To solve the planning problem of regional integrated energy system (RIES) without a given system structure, a zoning planning method (ZPM) based on energy hub (EH) model and the concept of directed acyclic graph is presented. That is, by analyzing the energy coupling relationship of EH, the EH zoning model based on equipment type is obtained, and the RIES system structure planning model is proposed. This method not only solves the problem that the planning results are influenced by the unfixed number of system structure planning model layers, but also can jointly plan the system structure and equipment configuration of RIES and improve computational efficiency. An illustrative example of RIES planning is given to make comparative analysis of the planning schemes obtained by hierarchical planning method (HPM), three-tier planning method (TPM) based on the equipment type and ZPM. The results show that ZPM can avoid the influence of the unfixed number of system structure planning model layers on the planning results, and can obtain more economical planning schemes and improve the solution speed of the planning model.

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