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基于在线热力性能数据的源侧涉网生产试验仿真建模方法研究
引用本文:马瑞,侯倩,金飞,杨春来,彭钢. 基于在线热力性能数据的源侧涉网生产试验仿真建模方法研究[J]. 中国电力, 2017, 50(8): 41-47. DOI: 10.11930/j.issn.1004-9649.2017.08.041.07
作者姓名:马瑞  侯倩  金飞  杨春来  彭钢
作者单位:国网河北省电力公司电力科学研究院,河北省电力建设调整试验所,河北 石家庄 050021
摘    要:
针对当前机组机理仿真模型无法应用于指导现场实际生产试验过程的缺陷,提出了基于在线热力性能数据的增强激励仿真建模方法,开发了涉网侧机组协调控制生产试验标准化平台。基于在线热力性能数据与机组仿真算法的融合应用,建立高度拟合实际机组特性的增强激励式校验仿真平台。通过机理模型确定与实际生产过程响应特性一致的三阶传递函数,确定优化参数,直到三阶传递函数模型精度达到实际生产试验校验指导要求。仿真研究表明,运用该方法建立的RUNBACK生产试验模型达到实际生产特性精度要求;实现仿真模型响应特性与现场实际特性趋近度达90%,使仿真平台成为可以真正服务于生产试验的技术支撑平台,可实现生产试验性能效果的预估评价,这种方法具有一定通用性和工程实践性,为机组仿真迈向实际生产应用提供一种新的思路和方法。

关 键 词:火电机组  增强激励  机理模型  差分演化  参数优化  
收稿时间:2016-05-30

Research on Pilot Scale Generalization Modeling Method for Power Supply Side Experiment of Power Grid Based on the Online Thermal Performance Data
MA Rui,HOU Qian,JIN Fei,YANG Chunlai,PENG Gang. Research on Pilot Scale Generalization Modeling Method for Power Supply Side Experiment of Power Grid Based on the Online Thermal Performance Data[J]. Electric Power, 2017, 50(8): 41-47. DOI: 10.11930/j.issn.1004-9649.2017.08.041.07
Authors:MA Rui  HOU Qian  JIN Fei  YANG Chunlai  PENG Gang
Affiliation:State Grid Hebei Electric Power Research Institute, Hebei Electric Power Construction and Adjustment Experimental Institute, Shijiazhuang 050021, China
Abstract:
Aiming at the defect that the current power plant mechanism simulation model cannot be applied to direct the actual production process, this paper proposes the thermal performance data enhanced incentive simulation modeling and third-order transfer function identification method, and develops a standard experimental platform for power supply side coordinated control production experiment. Starting with the integration of the online data and the simulation algorithm of the power plant unit, the enhanced validation and simulation platform is established which highly simulates the performance of the actual power plant. Through the mechanism model, the three order transfer function of response characteristics of the actual production process is determined with the parameters being optimized until the model precision meets the practical verification requirements. The simulation results show that the RUNBACK production experimental model established by this method can meet the precision requirements of actual production. The proximity of the response characteristics of the simulation model to the actual characteristics reaches 90% , which makes the simulation platform an ideal technical support platform that can truly serve the need for production experiment and conduct the predictive assessment on the effects of production experiment. With both generality and practicality, this method can provide a new way for unit simulation toward practical applications.
Keywords:thermal power generation unit  enhanced excitation  mechanism model  differential evolution  parameter optimization  
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