Open AccessMethod of multi-objective optimal operation for combined cooling, heating, and power system
Author(s) -
Pengfei Sun,
Xuejun Hao,
Jun Wang
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/836/1/012005
Subject(s) - mode (computer interface) , power (physics) , dynamic programming , energy (signal processing) , optimal control , value (mathematics) , computer science , process engineering , electric power system , automotive engineering , mathematical optimization , engineering , mathematics , statistics , physics , quantum mechanics , operating system , machine learning
In order to give full play to the advantages of energy saving, high efficiency, economy, and low carbon of combined cooling, heating, and power (CCHP) system, it is necessary to seek an optimal operation mode. In this paper, a CCHP system model including energy storage equipment and ground source heat pump is established. To ensure the control accuracy, the unit commitment problem is considered in the programming. The optimal operation mode of CCHP system is obtained by taking the minimum annual operation cost, including pollutant treatment cost and the maximum primary energy utilization rate as the objective, and discussing the weight value of the above two purposes. Compared with the single objective optimization method, this optimal operation mode can provide more diversified and refined choices for the actual operation of CCHP system.