Energy-saving optimization method of ball mill pulverization system in thermal power plant based on sequential pattern mining

Abstract

The invention discloses an energy conservation optimizing method of a heat-engine plant ball mill pulverizing system based on sequential pattern mining, and the method comprises the following steps: carrying out a sequential pattern mining process on the on-site record data, so as to automatically obtain a mill load 1, the outlet temperature ot of the mill, the inlet negative pressure inp of the mill, the opening uh of a hot wind door, and sequential modes among circulation wind door opening ur, the mill output force pc, the mill load set value lsv, mill outlet temperature set value otsv and the mill inlet negative set value inpsv; and determining the best set values of the mill load, the mill outlet temperature and the mill inlet negative pressure at the current working condition on the basis of the current operation data and the obtained sequential mode by adopting a search method item by item, thus the energy conservation optimizing method is simple and feasible and has good commonality, and the pulverizing system can operate in a best manner on the premise of safety and stability, thus not only providing an effective guarantee for the excellent-quality burning of a boiler system, but also providing beneficial effects on a heat-engine plant.

Description

technical field [0001] The invention relates to an energy-saving optimization method for a ball mill pulverization system in a thermal power plant, in particular to an energy-saving optimization method for a ball mill pulverization system in a thermal power plant based on sequence mode mining. Background technique [0002] In my country's coal-fired thermal power plants, the ball mill pulverization system is widely used. Since the pulverizing system is the main auxiliary equipment of the boiler, its safe and stable operation will directly affect the safety and reliability of the entire generating set. At the same time, the power consumption of the pulverizing system of the ball mill accounts for about 15% to 25% of the power consumption of the plant, and its economic operation directly affects the economic benefits of the thermal power plant. However, at present, the pulverizing systems of most domestic thermal power plants are still in a state of manual control relying on ...

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Problems solved by technology

In addition to the shortcomings mentioned above, the genetic algorithm and support vector machine modeling methods are relatively complex and difficult to apply in engineering

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