Power plant pulverized coal boiler combustion performance online optimizing method and system

Abstract

The invention provides a power plant pulverized coal boiler combustion performance online optimizing method and system. The method comprises the steps of receiving basic data of boilers in different load work conditions, which are acquired by a Distributed Control System (DCS) and an instrument, wherein the basic data is used for establishing non-linear mapping relationship between pulverized coal boiler adjustable input variables and output variables through a radial basis function network, and the non-linear mapping relationship is used as a boiler combustion mathematic model; obtaining an optimal input combination and value of boiler combustion system adjustable variables under the corresponding expectation coal consumption and NOX emission level. By the aid of the method and the system, optimal control can be performed on boiler operation engineering, relationships among all operation parameters of the boiler are coordinated, the safety, the economy and the reliability of the system are further improved, and the boiler combustion system comprehensive performance is improved comprehensively.

Description

technical field [0001] The invention relates to the technical field of boilers, in particular to an online optimization method and system for combustion performance of pulverized coal boilers in power plants. Background technique [0002] The operation of power plant boilers is a complex physical and chemical process, involving combustion, fluid mechanics, thermodynamics and other disciplines. Any detection and adjustment of parameters related to boiler operation and equipment transformation can be called boiler system optimization, including DCS (Distributed Control System, distributed control system) control logic optimization and control model design. From the perspective of boiler system optimization technology, boiler combustion optimization technology can be divided into three categories: the first category guides operators to adjust the operating conditions of the boiler through online detection of main parameters of boiler operation. This type of optimization technol...

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Problems solved by technology

[0003] 1) The thermal efficiency of the boiler is low, and the coal consumption for power supply remains high;

[0004] 2) The load and coal quality are variable, and the boiler often deviates from the optimal combustion state;

[0005] 3) The amount of peroxygen is high;

[0006] 4), NOx emissions exceed the standard;

[0007] 5) The amount of fly ash combustibles and large slag combustibles is relatively high;

[0016] After the combustion mathematical model is established, how to choose an appropriate optimization algorithm, and find the adjustable input combination corresponding to the optimal output value and the optimal solution under constrained conditions, the traditional optimization algorithm fails to give a specific solution

[0017] In addition, the optimization process of the existing combustion optimization methods mostly adopts the solution process of the inverse model of the forward mathematical model

There are two problems in this way: a. The existence of the inverse model of the boiler combustion process is difficult to ensure, and the reverse solution may produce no solution or multiple solutions

b. The change between the optimized solution and the current value is too large, which means that the input adjustment range of the combustion system is too large, which may threaten combustion stability and safety

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