Open AccessOptimal Dispatching of Integrated Energy System Based on Multi-Energy Complementation
Author(s) -
Jiawei Xing,
Shumin Sun,
Cheng Yan,
Yiyuan Liu,
Peng Yu,
Yuejiao Wang,
Shibai Wang,
Xingyou Zhang,
Guangqi Zhou,
Nan Wang,
Yifei Guan
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2195/1/012014
Subject(s) - energy (signal processing) , computer science , power (physics) , energy cascade , cascade , mathematical optimization , integer programming , operations research , engineering , mathematics , algorithm , statistics , physics , quantum mechanics , chemical engineering
To raise the energy cascade use ratio and economic benefit, the multi-energy complementation-based integrated energy system (IES) has been considerably developed in recent years, so studying its internal optimal dispatching strategies will be of great importance. In this study, an optimal dispatching strategy applicable to the operation of typical IES was put forward. First, the classical IES architecture and the operating characteristics of each piece of equipment in it were explored. Second, a mixed-integer programming model with uncertainties was constructed for three energy systems—cooling, heating and power—and each equipment in these systems. In the end, the demonstration park of a major project in China was analyzed using the proposed strategy. The effectiveness of this strategy was verified by the simulation results.