配置吸收式热泵的热电联产机组厂级智能运行优化

doi:10.3969/j.issn.2097-0706.2024.03.003

综合智慧能源 ›› 2024, Vol. 46 ›› Issue (3): 20-28.doi: 10.3969/j.issn.2097-0706.2024.03.003

配置吸收式热泵的热电联产机组厂级智能运行优化

王永旭¹(), 周天羽², 邓庚庚², 徐钢²^,^*(), 王卓³

1.中电投蒙东能源有限责任公司通辽发电总厂，内蒙古通辽 028011
2.华北电力大学能源动力与机械工程学院，北京 102206
3.通辽热电有限责任公司，内蒙古通辽 028011

收稿日期:2023-08-17 修回日期:2023-09-21 发布日期:2023-08-17 出版日期:2024-03-25
通讯作者: 徐钢 *（1978），男，教授，博士，从事能源系统集成、大数据分析与智能优化等方面的研究，xgncepu@163.com。
作者简介:王永旭（1970），男，高级工程师，从事火电机组运行控制优化研究，nmtlwyx0@163.com；
基金资助:
国家自然科学基金项目(52276006)

Plant-level intelligent operation optimization for cogeneration units equipped with absorption heat pumps

WANG Yongxu¹(), ZHOU Tianyu², DENG Genggeng², XU Gang²^,^*(), WANG Zhuo³

1. Tongliao Power Plant of China Power Investment Mengdong Energy Company Limited， Tongliao 028011， China
2. School of Energy， Power and Mechanical Engineering， North China Electric Power University， Beijing 102206， China
3. Tongliao Thermal Power Company Limited， Tongliao 028011， China

Received:2023-08-17 Revised:2023-09-21 Online:2023-08-17 Published:2024-03-25
Supported by:
National Natural Science Foundation of China(52276006)

摘要/Abstract

摘要：

为提高配置吸收式热泵的热电联产机组的全厂运行经济性，基于案例电厂的运行历史数据，使用滑动窗口法进行数据预处理并提取稳态工况，建立配置吸收式热泵的热电联产机组煤耗预测数学模型。以全厂热电联产机组总煤耗最小为适应度函数，利用粒子群优化算法求解得出配置吸收式热泵的热电机组最佳背压和各台热电机组最佳抽汽量。基于以上研究设计了供热系统智能优化软件，实现供热系统在线监测与优化调节，对各供热单元分别提出优化指导，使机组运行经济性最佳，进而降低整体煤耗。计算结果表明：实行供热系统智能优化策略可为案例电厂供热系统平均每小时节省标准煤约1.81 t，节能效果显著。

关键词: 热电联产机组, 吸收式热泵, 多机组供热, 煤耗, 粒子群优化算法, 在线监测, 背压, 抽汽

Abstract:

To improve the overall operational economy of the power plant equipped with cogeneration units and absorption heat pumps， a coal consumption prediction mathematical model for cogeneration units is constructed based on the power plant's historical data which are then pre-processed by sliding window method to define steady-state operating conditions. There is a fitness function implemented to get the minimum total coal consumption of the cogeneration units， and particle swarm optimization algorithm is used to obtain the optimal back pressure of the air cooling unit equipped with an absorption heat pump and the optimal extraction steam flow of each cogeneration unit. Then， an intelligent optimization software for this heating system is designed based on the data above， to realize online monitoring and optimization regulation on the heating system. The optimization regulation can provide guidance for individual heating units to achieve their best economic performances and lowest coal consumptions. Simulation results indicate that the intelligent optimization can save 1.81 t standard coal per hour for the heating system of this case， showing a significant energy-saving effect.

Key words: cogeneration unit, absorption heat pump, heating-supply made by multiple units, coal consumption, particle swarm optimization, online monitoring, back pressure, optimal pumping, extraction steam

中图分类号:

TK115

王永旭, 周天羽, 邓庚庚, 徐钢, 王卓. 配置吸收式热泵的热电联产机组厂级智能运行优化[J]. 综合智慧能源, 2024, 46(3): 20-28.

WANG Yongxu, ZHOU Tianyu, DENG Genggeng, XU Gang, WANG Zhuo. Plant-level intelligent operation optimization for cogeneration units equipped with absorption heat pumps[J]. Integrated Intelligent Energy, 2024, 46(3): 20-28.

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参数	湿冷机组（^#1— ^#4）	空冷机组（^#5）
数量/台	4	1
额定发电功率/MW	220	600
主蒸汽压力/MPa	12.75	16.70
主蒸汽温度/℃	535	537
额定主蒸汽流量/(t·h^-1)	642.22	1 845.97
再热蒸汽压力/MPa	2.27	3.23
再热蒸汽温度/℃	535	537
额定再热蒸汽流量/(t·h^-1)	566.58	1 540.50
排汽压力/MPa	0.005 2	0.013 0
热泵驱动蒸汽压力/MPa		0.3
热网水流量/(t·h^-1)		1 300
热泵乏汽压力/kPa		20
热泵性能系数		1.7
热网水进/出口温度/℃	85/110	55/85

配置吸收式热泵的热电联产机组厂级智能运行优化

Plant-level intelligent operation optimization for cogeneration units equipped with absorption heat pumps

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