Real-time T-S fuzzy modeling method for heavy-duty gas turbine of combined cycle unit

A combined cycle unit and gas turbine technology, applied in the field of modeling and optimization, can solve problems that are difficult to meet the accuracy and real-time requirements of the modeling process

Active Publication Date: 2020-04-10
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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  • Application Information

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Problems solved by technology

With the continuous expansion of the installed capacity of combined cycle power plants in recent years, the complexity of the gas turbine system and the strictness of the control requirements have also increased. The traditional T-S fuzzy modeling has been diffi...

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  • Real-time T-S fuzzy modeling method for heavy-duty gas turbine of combined cycle unit
  • Real-time T-S fuzzy modeling method for heavy-duty gas turbine of combined cycle unit
  • Real-time T-S fuzzy modeling method for heavy-duty gas turbine of combined cycle unit

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Embodiment Construction

[0118] In the following description, numerous specific details are given in order to provide a more thorough understanding of the present invention. It will be apparent, however, to one skilled in the art that embodiments of the invention may be practiced without one or more of these details. In other examples, in order to avoid confusion with the embodiments of the present invention, some technical features known in the art are not described.

[0119] In order to provide a thorough understanding of the embodiments of the present invention, a detailed structure will be set forth in the following description. Obviously, practice of the embodiments of the invention is not limited to specific details familiar to those skilled in the art. Preferred embodiments of the present invention are described in detail below, however, the present invention may have other embodiments besides these detailed descriptions.

[0120] In the description of the present invention, the orientation o...

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Abstract

The invention discloses a real-time T-S fuzzy modeling method for a heavy-duty gas turbine of a combined cycle unit, and the method comprises the steps: firstly determining a to-be-recognized model structure of the gas turbine according to the actual demands, and collecting the onsite operation data of the combined cycle unit heavy gas turbine as the training data for model recognition; then, preprocessing the initial training data to eliminate adverse effects of abnormal data; secondly, classifying the data space through an improved entropy clustering method, and automatically obtaining the clustering number and the corresponding clustering center; on the basis, introducing an improved whale optimization algorithm to correct the initial clustering center, and calculating and obtaining a corresponding clustering radius; then, obtaining each sub-model parameter in the posterior identification through a least square algorithm with a forgetting factor, and carrying out fuzzy weighting toobtain global output; and finally, verifying the model obtained by identification.

Description

technical field [0001] The present invention generally relates to the technical field of modeling and optimization, and more specifically relates to a real-time T-S fuzzy modeling method for a heavy-duty gas turbine of a combined cycle unit. Background technique [0002] As the national development strategy pays more and more attention to energy and environmental issues, the power generation process based on clean energy has gradually become a trend in the development of the power industry. Among them, natural gas has become one of the preferred energy sources because of its easy acquisition, cleanness and environmental protection. The gas-steam combined cycle unit is currently the main device that uses natural gas to generate electricity in China. It generates the electricity required by users through the organic cooperation of the gas turbine system and the steam turbine system. As one of the most critical components of combined cycle units, heavy-duty gas turbines play a...

Claims

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Application Information

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IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 侯国莲弓林娟黄从智张建华
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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