基于智能融合算法的冷热电联供系统灵活性运行优化研究

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

摘要/Abstract

摘要：

为了进一步提高燃气轮机仿真模型的模拟精度，在建立燃气轮机机理仿真模型和BP仿真模型基础上，基于模型替代技术、BP神经网络算法以及最优加权法、动态权重分配法，分别建立了3种燃气轮机串联智能融合仿真模型和2种并联智能融合仿真模型；通过将上述仿真模型的模拟结果与实际运行数据进行对比分析，遴选出模拟效果最优的仿真模型；以燃气轮机智能融合仿真模型作为燃气轮机的出力约束，建立了考虑热电解耦技术的冷热电联供系统灵活性运行优化仿真模型。结果表明：该模型不仅可以提高仿真结果的模拟精度，而且通过对出力设备的灵活性调整，可有效应对负荷侧能源需求量的动态变化，避免出现能源浪费现象，提升系统的经济效益。

关键词: 智能融合算法, 燃气轮机, 仿真模型, 热电解耦, 灵活性运行优化

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

中图分类号:

TK01

包哲,张潇方,李薇等 . 基于智能融合算法的冷热电联供系统灵活性运行优化研究[J]. 系统仿真学报, 2024, 36(10): 2330-2344.

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.

图/表 13

图1

图2

图3

表1

表2

系统参数

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

表2

表3

图4

表4

图5

图6

图7

图8

图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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