Method and system for utility boiler combustion subspace modeling and multi-objective optimization

Abstract

The invention discloses a method and system for utility boiler combustion subspace modeling and multi-objective optimization, belongs to the field of utility boiler optimization operation, and particularly relates to a method and system for setting up of a high-precision combustion model and solution of multi-objective optimization. The method includes the following steps of determining input variables of a combustion optimization model, determining the variable to be optimized from all the input variables, dividing a load into a plurality of sectors with the neighborhoods overlapped, setting up a combustion subspace ANFIS model for each sector in an off-line mode, collecting data in real time, conducting partial subspace model modification in an on-line mode, conducting on-line multi-objective optimization by taking the constraint of a unit load into consideration, taking maximizing the boiler efficiency and minimizing the nitrogen oxide emission as targets, and utilizing a mature global optimization algorithm and on the basis of comprehensive cost minimization, and separating and implementing the optimization result. The method and the system are suitable for combustion optimized operation of a coal powder utility boiler and have the advantages of being high in modeling accuracy and high in optimization speed.

Description

technical field [0001] The invention belongs to the technical field of power plant boiler optimization operation, and in particular relates to a method and system for establishing a high-precision combustion model and operation optimization, in particular to a power plant boiler combustion subspace modeling and multi-objective optimization method and system. Background technique [0002] Coal-fired power plants are a very important part of my country's electricity production, and their power generation far exceeds the sum of all other power generation, and there will be no major changes in a long period of time. However, the world is facing a serious crisis of energy depletion, the price of coal remains high, and the problem of environmental pollution has increasingly attracted widespread attention from all over the world. Therefore, the strategies adopted by the governments of various countries are: on the one hand, vigorously develop supercritical power generation technolo...

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Problems solved by technology

[0004] After searching the public literature of the prior art, it was found that the document "Qiang Xu, Jia Yang and Yanqiu Yang. Identification and control of boiler combustion system based on neural networks and ant colony optimization algorithm. Proceedings of the 7th World Congress on Intelligent Control and Automation , June 25 - 27, 2008, Chongqing, China, pp.765-768 (Identification and Control of Boiler Combustion System Based on Neural Network and Ant Colony Optimization Algorithm, International Conference: Proceedings of the World Conference on Intelligent Control and Automation, 2008: 765- 768)", the combination of neural network and ant colony optimization in the field of computing intelligence is used for combustion modeling and controller design, which can better improve the adjustment quality of the boiler combustion system, but it can only solve the main controlled parameters of the boiler. Tracks a given setpoint without making the system always operate at optimal economic conditions

Document "Hao Zhou , Kefa Cen, Jianren Fan. Modeling and optimization of the NOx emission characteristics of a tangentially fired boiler with artificial neural networks. Energy, 2004,29:167–183 (Nitrogen Oxidation of Tangentially Fired Boiler with Artificial Neural Networks. Modeling and Control of Emission Characteristics, International Journal: Energy, 2004,29:167–183)", using multi-layer forward network for global modeling and control of nitrogen oxide emission characteristics of tangentially fired boilers, for reducing pollutants Emissions are important, b

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