Research On Optimal Operation Of Thermal Power Unit Based On The Optimal Searching Method Of The Historical Data

At present,our country is facing a series of problems such as severe population,harsh environment and high energy consumption.We must take the way of saving resources to realize the sustainable development of economy and society.With low carbon green as the main line "13th Five-Year" energy planning for the first time to set such a goal,China will plan to control the energy consumption less than 50 tons of standard coal before 2020,so the thermal power enterprises are considering to reduce energy consumption and enhance the market competitiveness.In the power plant taking control of operation parameters on the power units is optimized,ensure that the unit can achieve the optimal operation state under different operating conditions,is the fundamental purpose of optimizing the operation parameters,and also an important means to realize the energy saving unit.Due to a large number of operation datas of power plant are complex nonlinear and noise pollution and many other factors,some uncertainty problems.In order to guarantee the authenticity and validity of the data,firstly this paper carries on the pretreatment to the historical data.Then the sensitivity factor concept is put forward,and the sensitivity analysis is carried out.The sensitivity factor of the unit heat consumption rate and the boundary parameters are analyzed,and the parameters of energy consumption sensitivity factor are obtained.Using fuzzy C-means clustering algorithm to divide the data.After the division of working conditions,this paper takes the initial pressure of the unit operation as an example,to find the best in history,find the optimal initial pressure in the same conditions,as the basis for the subsequent modeling.In this paper,the improved BP and RBF neural network are used to establish the model of the boundary parameters and the main steam pressure.By analyzing the relative error of the two modeling methods,the RBF neural network method is selected to model the relative error.Finally,according to the overall model of the unit,the optimal main steam pressure change according to the change of boundary condition is verified,and the optimization model is proved to be effective.The research work of this paper has a certain theoretical significance and practical value to the analysis of the optimization of unit operation parameters.