受基本方程规范的火电机组耗量特性系数辨识
发布时间：2018-07-28 17:33
【摘要】：火电机组燃料耗量 功率特性系数的准确辨识,是实施节能发电优化调度的基础与前提。为保障辨识精度,需在辨识过程中特别考虑反映耗量关键特征的基本方程。为此,提出一种受基本方程规范的火电机组耗量特性abc系数优化辨识方法。方法首先建立了反映火电机组耗量特性关键特征的3个基本方程,然后从正平衡角度出发,建立了受3个基本方程规范的、以拟合误差最小化为目标函数的优化辨识模型,最后给出了待辨识abc系数的解析解。基于某省火电机组在线监测系统采集的实际数据进行算例分析,结果表明,所提方法能在比较好地保持机组耗量特性关键特征的基础上,自适应地为火电机组的不同运行方式"量身定制"式地辨识出一套合体的abc系数,有助于使始终依赖于一组固定不变的abc系数参与优化调度的传统方式向采用定制式abc系数进行现代优化调度的阶段升级。
[Abstract]:The accurate identification of fuel consumption and power characteristic coefficient of thermal power units is the basis and prerequisite for the optimal dispatching of energy-saving power generation. In order to ensure the identification accuracy, the basic equations reflecting the key characteristics of consumption should be specially considered in the identification process. This paper presents an optimal identification method for abc coefficients of thermal power unit consumption characteristics, which is governed by basic equations. Methods first, three basic equations reflecting the key characteristics of thermal power unit consumption characteristics were established, and then, from the perspective of positive balance, an optimal identification model with the objective function of minimizing fitting error was established, which was regulated by three basic equations and took the minimization of fitting error as the objective function. Finally, the analytical solution of the abc coefficient is given. Based on the actual data collected from the on-line monitoring system of thermal power units in a province, the results show that the proposed method can keep the key characteristics of unit consumption characteristics well. Adaptively identifying a set of fit abc coefficients for different operation modes of thermal power units "tailor-made". It is helpful to upgrade the traditional way which always depends on a fixed set of abc coefficients to participate in the optimal scheduling to the stage of adopting customized abc coefficients for modern optimal scheduling.
【作者单位】： 国网辽宁省电力有限公司;哈尔滨工业大学电气工程及自动化学院;
【基金】：国家自然科学基金项目(51077027)~~
【分类号】：TM621
，
本文编号：2151069
[Abstract]:The accurate identification of fuel consumption and power characteristic coefficient of thermal power units is the basis and prerequisite for the optimal dispatching of energy-saving power generation. In order to ensure the identification accuracy, the basic equations reflecting the key characteristics of consumption should be specially considered in the identification process. This paper presents an optimal identification method for abc coefficients of thermal power unit consumption characteristics, which is governed by basic equations. Methods first, three basic equations reflecting the key characteristics of thermal power unit consumption characteristics were established, and then, from the perspective of positive balance, an optimal identification model with the objective function of minimizing fitting error was established, which was regulated by three basic equations and took the minimization of fitting error as the objective function. Finally, the analytical solution of the abc coefficient is given. Based on the actual data collected from the on-line monitoring system of thermal power units in a province, the results show that the proposed method can keep the key characteristics of unit consumption characteristics well. Adaptively identifying a set of fit abc coefficients for different operation modes of thermal power units "tailor-made". It is helpful to upgrade the traditional way which always depends on a fixed set of abc coefficients to participate in the optimal scheduling to the stage of adopting customized abc coefficients for modern optimal scheduling.
【作者单位】： 国网辽宁省电力有限公司;哈尔滨工业大学电气工程及自动化学院;
【基金】：国家自然科学基金项目(51077027)~~
【分类号】：TM621
，
本文编号：2151069
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