The States Reconstruction Of Power Unit Based On Mixed Model And Research Of Operation Optimization

At present, with the reformation of the electrical enterprises, the separation of power plant and network, the primary mission of the power plants is to reduce the generating cost and enhance the competitiveness of sales price to network. The accurately thermal economy on-line monitor system of the real units and the reasonable optimum of the controllable operation parameters are the important means for energy-saving and cost-reducing. It can be make clear the incidence relation of the operation state parameters of the complex thermodynamic system and accurately reconstruct the operation state of power unit under the different operation boundary condition. Then the controllable operation parameters online optimization under the multiple barrier constraint condition can be obtained. The reconstruction of the operation state and the optimization of the operation parameters for the objective of the energy analysis are researched in this article. In order to obtain effectual decision scheme for the real system based on the in-depth theoretical analysis with help of fusion information the data resources.The paper pointed out that the thermodynamic system state parameters have double incidence relation, the equipment aspect and the system aspect. With the research of energy consumption sensitivity analysis of two type parameter, the thermodynamic system key parameters can be confirmed for achieve the reconstruction of the operation state parameter. The calculation of the parameter entire energy consumption sensitivity factor can be obtained by the load distribution probability density function. The energy consumption influence weight sequence of the parameter was analyzed based on analysis of the engineering projects. It is the important theory basis for the multipoint redundancy technology, data reconstruction, the choosing of the key parameter for state maintenance and operation optimization. This paper brought the quasi-stable state processing method of the dynamic data and the multiple data validate method including logic correlation analysis to solve the state inconsistency and distortion of the real operation data. Then the accuracy of the source data for in-depth analyzing can be guaranteed. The aging factor was defined to solve the aging problem of the source data, and it is the base for the reasonable quote of the historical data.The mixed modeling method synthesizing the merit of the theoretical analysis and statistical method was proposed for the power plant thermal equipment based on the above data analysis and processing method. The real accurate model of the main equipments characteristic of the pipe flow resistance, the heater heat-transfer, the turbine through-flow and efficiency was built. Based on these the mixed model, the associate relation of the operation parameters at the equipment level was described. It is the important base to reconstruct the unit global operation state. The unit state reconstruction method was put forward based on the system analysis thought and the steam-water distribution equation for the integration of the thermal system. Then the associate relation of the operation parameters of the system level was determined and the thermal system can be reconstructed on the condition of the different constraint condition. It put forward a new technology path for the operation state reconstruction of the real unit.The parameters optimization method on the condition of the multiple barriers constraint condition was studied in this paper. And the optimum operation initial steam pressure was solved combined with a certain unit. Then the optimum operation initial steam pressure on the condition of different load and recycled water entrance temperature was obtained. The structure and composition of the unit operation optimization system based on the SIS platform, detailed function, system frame and the real system application situation were studied and analyzed in the development of the certain power plant steam turbine operation optimization system project.