Identification Method of Model Parameters of Thermal Power Unit System

A system model, a technology for thermal power units, applied in the field of system modeling, which can solve the problems of deviation of calculation results from actual values, influence of algorithm calculation results, premature convergence, poor local optimization ability and local optimal solution, etc. Effect

Active Publication Date: 2022-06-17
SHANGHAI UNIVERSITY OF ELECTRIC POWER
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Problems solved by technology

The simple particle swarm optimization algorithm has problems such as premature convergence (especially in dealing with complex multi-peak search problems), poor local optimization ability, and a certain possibility of falling into local optimal solutions, which will seriously affect the final results of the algorithm. The calculation result may cause the calculation result to deviate significantly from the actual value in severe cases

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  • Identification Method of Model Parameters of Thermal Power Unit System
  • Identification Method of Model Parameters of Thermal Power Unit System
  • Identification Method of Model Parameters of Thermal Power Unit System

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Embodiment Construction

[0044] The present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. This embodiment is implemented on the premise of the technical solution of the present invention, and provides a detailed implementation manner and a specific operation process, but the protection scope of the present invention is not limited to the following embodiments.

[0045] A method for identifying parameters of a thermal power unit system model, comprising the following steps:

[0046] S1. The simple particle swarm algorithm is prone to premature convergence (especially in dealing with complex multi-peak search problems), poor local optimization ability, and a certain possibility of falling into local optimal solutions, which will seriously affect The final calculation result of the algorithm may cause the calculation result to deviate significantly from the actual value in severe cases. Therefore, on the basis of the basic particle swarm...

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Abstract

The invention relates to a method for identifying model parameters of a thermal power unit system, which introduces self-adaptive thinking, Cauchy variation factor and gradient-guided intersection theory to improve the basic particle swarm algorithm, identifies established model parameters, and uses actual operating data and model data The difference is used as the fitness function value of the algorithm, and the model parameters are identified and optimized to obtain a model suitable for the system. The improved adaptive Cauchy variation gradient guides the main valve opening-power model, combustion system And the output of the load system has a better effect of fitting the actual data on site. The structure of the identified transfer letter conforms to the theoretical analysis, and its parameters match the actual operation of the unit. It has good unit analysis and research value.

Description

technical field [0001] The invention relates to a system modeling technology, in particular to a method for identifying parameters of a thermal power unit system model. Background technique [0002] In recent years, there have been many methods that use intelligent algorithms to replace traditional mechanism modeling methods to calculate control system model parameters. There are mainly the use of neural networks and fuzzy concepts to establish mathematical models of nonlinear systems; there are also methods to obtain mathematical models with higher precision through intelligent algorithms such as genetic algorithm and ant colony algorithm. These methods avoid the tedious process of traditional mechanism modeling, so they are widely used in thermal system modeling of power plants, and play a very important role in analyzing the operating characteristics and conditions of power plants. [0003] Particle Swarm Optimization (PSO) is a swarm-based intelligent evolutionary compu...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 孙宇贞唐毅伟彭道刚赵慧荣李芹李帅
Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER
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