Research on Flexible Operational Optimization of CCHP System Based on Intelligent Fusion Algorithm

doi:10.16182/j.issn1004731x.joss.23-0699

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.

Key words: intelligent fusion algorithm, gas turbine, simulation model, heat-power decoupling, flexible operation optimization

CLC Number:

TK01

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

Figures/Tables 13

Fig. 1

Fig. 2

Fig. 3

Table 1

Table 2

Part of system patameters

主要经济性参数
燃气轮机维护成本单价 $/ (元 / k W · h)$		0.03
吸收式制冷机组维护成本单价 $/ (元 / k W · h)$		0.007 2
电热泵维护成本单价 $/ (元 / k W · h)$		0.022
电制冷机组维护成本单价 $/ (元 / k W · h)$		0.021
天然气价格 $/ (元 / m 3)$		2.12
燃气轮机额定功率 $/ M W$		10
储热设备额定功率 $/ M W$		2
电热泵效率		0.93
吸收式制冷机组制冷系数		1.2
	电制冷机组制冷系数	3.2

Table 2

Table 3

Fig. 4

Table 4

Fig. 5

Fig. 6

Fig. 7

Fig. 8

Fig. 9

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参数	相关系数	参数	相关系数
压气机进口压力/kPa	0.056	压气机出口温度/℃	0.833
环境压力/kPa	-0.06	烟气流量/(m³·h^-1)	0.974
转速/(r/min)	-0.013	压气机进口温度/℃	-0.617
空压机压比	0.965	燃烧室温度/℃	0.826
燃烧室压力/kPa	0.995	透平温度/℃	0.702

情景	评价指标	机理仿真模型	BP神经网络仿真模型	串联模型Ⅰ	串联模型Ⅱ	串联模型Ⅲ	并联模型Ⅰ	并联模型Ⅱ
情景1	R²	0.973	0.885	0.979	0.975	0.973	0.965	0.959
情景1	RMSE	4.315	4.893	4.104	4.155	4.258	3.206	3.243
情景2	R²	0.973	0.801	0.974	0.972	0.972	0.964	0.947
情景2	RMSE	4.315	8.371	4.184	4.185	4.195	3.421	4.329
情景3	R²	0.973	0.581	0.974	0.970	0.972	0.922	0.904
情景3	RMSE	4.315	15.871	4.266	4.306	4.393	5.691	6.075

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