基于机理仿真拓展的电厂热力系统数据代理映射模型构建方法  

A Data Surrogate Mapping Model Construction Method for Power Plant Thermal System Based on Mechanism Simulation Extension

作　　者：钟崴[1] 任庆 尹冬年 黄伟[1] 方大俊 杨进之 林小杰 ZHONG Wei;REN Qing;YIN Dongnian;HUANG Wei;FANG Dajun;YANG Jinzhi;LIN Xiaojie(College of Energy Engineering,Zhejiang University,Hangzhou 310027,Zhejiang Province,China;Wuxi Huilian Thermal Power Co.,Ltd,Wuxi 214000,Jiangsu Province,China;Changzhou Industrial Technology Research Institute of Zhejiang University,Changzhou 213000,Jiangsu Province,China;Yantai Real Control Automation Co.,Ltd,Yantai 264006,Shandong Province,China)

机构地区：[1]浙江大学能源工程学院,浙江省杭州市310027 [2]无锡惠联热电有限公司,江苏省无锡市214000 [3]浙江大学常州工业技术研究院,江苏省常州市213000 [4]烟台锐控自动化控制工程有限公司,山东省烟台市264006

出　　处：《中国电机工程学报》2021年第2期416-422,共7页Proceedings of the CSEE

基　　金：国家重点研发计划项目(2020YFE0200400);山东省重大科技创新工程项目(2019JZZY020802);国家自然科学基金项目(51806190)。

摘　　要：电厂系统高精度映射模型是智慧电厂先进调度控制的核心技术,传统现场试验获取数据的方法成本高、时间长,而在线机理模型仿真依赖高成本的仿真系统。文中提出一种基于机理仿真拓展的电厂热力系统数据代理映射模型构建方法。首先离线建立热力系统的结构机理映射模型,通过有限试验工况的运行数据对模型进行辨识修正;构建所需多工况条件,采用仿真系统运行高精度机理映射模型获得拓展的多工况运行样本数据;基于多工况运行样本数据,采用数据建模方法建立热力系统的数据代理映射模型,并脱离机理仿真系统加以运用。以某热电联产机组为案例的分析表明,基于神经网络建立的数据代理映射模型与机理映射模型计算结果的误差在1%以内,具有较高的一致性。High-precision mapping model of the power plant system is the core technology of advanced scheduling and control in smart power plants. The traditional method of obtaining data through field tests is costly and time-consuming. Meanwhile, online mechanism model relies on expensive simulation software. This study proposed a construction method of data surrogate mapping model of the thermal power plant system based on mechanism simulation extension. Firstly, an offline structural mechanism model of the thermal system was established, and the model was identified and modified by the operating data of the limited experimental conditions. Based on that, the necessary multiple working conditions were constructed, and the corresponding data were thereafter obtained through simulation of the mechanism model. Finally, the data surrogate mapping model of the thermal system was established based on the data of multiple working conditions, and could be used without a mechanism simulation system. The analysis of a combined heat and power unit shows that the error between the neural network data surrogate mapping model and mechanism model is less than 1%, justifying that the proposed approach has high accuracy.

关 键 词：热力系统 代理模型 机理仿真 数据建模 热电联产 

分 类 号：TK11[动力工程及工程热物理—热能工程]