Machine group performance optimization operation management method

Abstract

This invention puts forward an intelligent unit performance optimized operation management method of a computer, which obtains the unit operation parameter via a boiler control system, obtains the carbon volume in the ash of the boiler from a test device, gets related parameters of factory electricity consumption from an electric transcription system to store real time operation data in a data base server of a central process computer and compute a set of economic targets under the current operation situation to provide the optimum economic operation parameter taking the least cost of electricity as the searching target. Advantage: combining the several single parameters to a comprehensive target expressing the set operation integral effect and directly combining with the profit target of the enterprise to save energy for the generation enterprises.

Description

technical field [0001] The invention proposes a computing intelligence-based performance optimization operation management method of a unit, which belongs to the technical field of coal-fired boiler combustion optimization in power stations. Background technique [0002] At present, there are still many domestic power plant operators who can see the relevant parameters of unit operation in the DCS system in time, such as single indicators such as exhaust gas temperature, oxygen content, main resteam temperature, and steam pressure, etc., but cannot see them in time. The real-time economic indicators of the unit, and what is unreasonable in the operation mode at that time, often cannot be known until the next day or even the next day after professional analysis. This kind of lagging analysis cannot provide timely and effective operation guidance to operators, which is also an important factor that makes it difficult to further improve the economic level of unit operation. ...

AI Technical Summary

Problems solved by technology

The small index analysis method is difficult to comprehensively coordinate the optimization relationship between small indexes, and it is difficult to solve the evaluation problem under different objective operating conditions. Therefore, it has produced some negative effects in the competition. The main problems exposed are: one-sided pursuit of a single small index, Neglecting the overall economics of unit operation, simply emphasizing that each small index is operated at the limit value, which does not reflect the best comprehensive benefits of the entire unit

[0004] The unit operation optimization management system has been applied in some power generation enterprises in recent years. It overcomes the shortcomings of the small operation index competition, and aims at the minimum controllable consumption difference of the unit to guide the operation, which has achieved good results. However, the unit operation optimization management system It is based on the traditional thermodynamic analysis, with the goal of pursuing the maximum thermal efficiency, without considering the goal of maximizing profits. Therefore, there are still defects in the market economy and cannot effectively guide production

Images