Thermal power generating unit steady state history optimization method based on total data

Abstract

The invention relates to a thermal power generating unit steady state historical optimization method based on total data, and the method specifically comprises the following steps of: selecting the following four parameters: a load, an environment temperature, a received base low calorific value and a heat supply flow during operation of the unit, and building a four-dimensional optimization working condition database; collecting thermodynamic parameters required for calculating the power supply coal consumption of the unit in the SIS real-time / historical database of the thermal power plant, and calculating unit performance indexes under different working conditions according to an online thermodynamic calculation model; then judging the running state of the unit; and when the running state of the unit is a steady state, comparing the power supply coal consumption calculated at a current moment with the power supply coal consumption at an optimal moment recorded in the historical optimization working condition table, and determining the optimal working condition at the current moment. Compared with other operation optimization guidance methods, the method has the advantages that total thermodynamic calculation indexes and operation parameters can be output; the optimization object is data which is operated by the unit in history, the operation guidance target value has high reproducibility, and the applicability in practical application is high.

Description

technical field [0001] The invention relates to the technical field of thermal power generation, in particular to a method for optimizing the steady-state history of a thermal power unit based on full data. Background technique [0002] At present, under the circumstances of insufficient energy in the world and increasing cost of raw materials for power generation, at the same time, my country plans to control energy consumption within 5 billion tons of standard coal in 2020. Therefore, all thermal power generation companies are considering improving the economy of power plants and the operating efficiency of units. To reduce the coal consumption of generating units to enhance market competitiveness, through reasonable optimization of the controllable operating parameters of thermal power units, to ensure that the units can achieve the best operating state under different operating conditions, and to achieve the purpose of energy saving and consumption reduction of thermal pow...

AI Technical Summary

Problems solved by technology

However, during the actual operation of thermal power units, the phenomenon of large dispersion of coal consumption for power supply and long-term deviation from the historical optimal value frequently occurs. Influenced by various factors, including design level, load, coal quality, equipment health status and operating personnel level, etc.

The loss caused by the deviation of the operating parameters from the optimal value can be effectively controlled. In the past, the optimal operating parameter values ​​were obtained through theoretical calculations based on design values, experience values, or under ideal conditions. These methods have some disadvantages , it is impossible to obtain the optimal value of the main related equipment operating parameters in the actual stable operation of the power plant unit, and the purpose of achieving the lowest power supply coal consumption operation of the unit under different working conditions and improving the overall economic efficiency of the power plant is not realized

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