Operation optimizing and energy-saving control method for intermediate storage iron shot mill flour milling system

Abstract

The invention relates to a method for the optimization of operation and control of energy conservation for a reserve ball-grinding powder system. Firstly, a non-linear neural network model about the consumption of powder of a powder-making system and operating parameters is established through collecting the service data of the powder-making system, then the negative pressure and the temperature at the entrance of a coal mill and the temperature at the outlet of the coal mill are obtained through the non-linear optimization with restricted conditions as a set value for controlling the system, wherein, the negative pressure, the temperature at the entrance and the outlet lead to lower consumption of powder; the entire optimized controlling of the powder-making system is carried out through the intelligent control of rotation of the coal mill and multivariable decoupling control of parameters at the entrance of the coal mill based on the operating experience as well as an intelligent down draft control technology, so as to ensure that the powder-making system strictly runs at an optimal condition and effectively reduces the powder consumption. The method provided by the invention can effectively inhibit the fluctuations of a primary air pressure in the on/off process of the powder-making system, put an end to serious accidents such as flameout in a boiler caused by down draft and effectively reduce the operating intensity for the staff.

Description

technical field [0001] The invention relates to an automatic control method for a mid-storage steel ball mill pulverizing system, in particular to a method for realizing operation optimization and energy-saving control of a mid-storage steel ball mill coal pulverization system in a power station by using neural network modeling, nonlinear optimization and intelligent control technology. It belongs to the field of thermal power engineering and automatic control. Background technique [0002] The boiler pulverizing system is a large power consumer in thermal power plants, and its power consumption is as high as about 25% of the power consumption of the plant. To reduce the power consumption of the pulverizing system, it is necessary to reduce the pulverizing unit consumption of the pulverizing system. In fact, when the operating parameters of the pulverizing system are different (that is, when the pulverizing system is in different working conditions), the unit consumption of ...

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Problems solved by technology

However, these parameters do not exist in the current actual milling system, nor can they be directly measured. The patent does not propose relevant measurement methods, nor does it propose relevant calculation methods. Therefore, the objective function in this patent is actually is incalculable

Secondly, the published patent claims to use the self-optimization method to determine the best coal storage capacity of the coal mill, the best mill outlet temperature and the best mill inlet negative pressure, but the patent does not give a complete self-optimization method. In the absence of a specific self-optimization method and the inability to calculate the objective function, it is impossible to obtain the optimal operating parameters of the milling system

Thirdly, the optimization goal of the milling system is to reduce the unit consumption of milling. The patent does not elaborate on the relationship between the defined objective function and unit milling consumption. Therefore, it is impossible to judge whether the final optimization result can guarantee the lowest unit milling consumption

[0008] At the same time, the existing patents have the following problems in the control of the pulverizing system: ① During the control process, it is necessary to measure the amount of coal stored in the coal mill. At present, the main measurement methods are to use noise signals to reflect the amount of coal stored in the mill, or to use weighing methods Measure the amount of coal stored, or use the coal mill bearing vibration method to measure the amount of coal stored

In addition, the sound changes generated by the start and stop of adjacent coal mills also have an impact on the noise current. Therefore, although the method of using the noise method to measure material level has been applied in engineering, the effect is not good, so the utilization rate of the control system very low

[0010] ② The multi-dimensional fuzzy control method is adopted, but the fuzzy control method described in the patent (such as the fuzzy rule table, fuzzy control look-up table, etc.) is only a general description, and does not combine the actual situation of the milling system. For example, according to the actual situation of the milling system, a reasonable membership function, fuzzy variable definition, specific fuzzy query table, etc. are given.

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