Research on Optimization Method of Integrated Energy System Network Planning

Chun Yang, Shijun You (), Yingzhu Han, Xuan Wang, Ji Li and Lu Wang
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Chun Yang: China Academy of Building Research, Beijing 100013, China
Shijun You: School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China
Yingzhu Han: China Academy of Building Research, Beijing 100013, China
Xuan Wang: China Academy of Building Research, Beijing 100013, China
Ji Li: China Academy of Building Research, Beijing 100013, China
Lu Wang: China Academy of Building Research, Beijing 100013, China

Sustainability, 2023, vol. 15, issue 11, 1-15

Abstract: The development of an integrated energy system (IES) is conducive to promoting the transformation of the energy system and helping to achieve the ‘double carbon’ goal in China. The IES integrates cooling, heating, electricity, gas, and other energy resources, which is significantly more difficult than single energy network planning. This paper systematically sorts out the process of IES network planning and proposes an improved methodology. Firstly, the bottom-up dynamic multiple-load forecasting method of 8760 h a year is proposed as the basis of system configuration and capacity selection. Subsequently, a planning method for energy station location and route optimization using the Dijkstra algorithm is constructed by applying the P-median optimization model. Finally, when optimizing the capacity allocation of the IES, the complementary characteristics of natural gas, electricity and heat, as well as the corresponding energy demand characteristic, have been fully considered, so that the optimization objectives can be reasonably determined. Through the actual calculation, it is found that the optimization method proposed in this paper can reduce the construction cost of the network by 41%. The work combines the process of energy network planning and capacity configuration of IES, which provides a simple, easy and economical solution for IES planning in new areas.

Keywords: integrated energy system (IES); planning method; multiple load prediction method; P-median optimization model; capacity allocation optimization (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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