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Journal of System Simulation

Abstract

Abstract: To further improve the accuracy of gas turbine simulation models, based on the construction of a gas turbine mechanism simulation model and BP simulation model, through model substitution technology and BP neural network algorithm three intelligent fusion simulation models for gas turbines, and two intelligent fusion simulation models for parallel gas turbines are constructed respectively as well as the combination of, by comparing the simulated results of the above models with the actual operating data, the simulation model with the best performance was selected. Using the intelligent fusion simulation model of the gas turbine as the output constraint, a flexibility operation optimization simulation model for the combined cooling, heating, and power system was established, taking into account the heat and power decoupling technology. The results show that the model not only improves the simulation accuracy of results, but also effectively responds to the dynamic changes in energy demand on the load side by adjusting the flexibility of output equipment, which avoids the energy waste and improve the economic benefits of the system.

First Page

2330

Last Page

2344

CLC

TK01; TP391

Recommended Citation

Bao Zhe, Zhang Xiaofang, Li Wei, et al. Research on Flexible Operational Optimization of CCHP System Based on Intelligent Fusion Algorithm[J]. Journal of System Simulation, 2024, 36(10): 2330-2344.

Corresponding Author

Li Wei

DOI

10.16182/j.issn1004731x.joss.23-0699

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