Real-time evaluation method for economy of large condensing steam turbine of thermal power plant

Abstract

The invention discloses a real-time evaluation method for economy of a large condensing steam turbine of a thermal power plant. The method is based on plant-level monitoring information systems configured for most thermal power plants. The method comprises the following steps: analyzing historical data of measurement points related to the economy of a steam turbine in an SIS database; by taking the state of a certain period with excellent performance in the historical operation period of the steam turbine as a reference, realizing the relative value of the current steam turbine economy compared with the reference state through data preprocessing and multi-round training by utilizing a deep belief network algorithm, so that the real-time evaluation of the steam turbine economy state is realized. The method depends on an SIS system, and is convenient to use and high in practicability, can help thermal power plant operators and equipment owners to master the performance state of the steamturbine in real time, can provide reference for overhaul time arrangement of the large condensing steam turbine, and explores a new direction for knowledge mining of mass data of the thermal power plant and state overhaul of related equipment.

Description

technical field [0001] The invention relates to the technical field of steam turbines in thermal power plants, in particular to a real-time economic evaluation method for large condensing steam turbines in thermal power plants. Background technique [0002] Maintenance costs and other costs caused by them are one of the main expenditures in thermal power plants other than fuel costs. In preventive maintenance, there are mainly planned maintenance and condition-based maintenance. The planned maintenance mode not only consumes a lot of manpower and material resources, reduces the production capacity of the unit, but also may cause over-maintenance or under-maintenance of equipment, resulting in the overall failure rate of the equipment not falling. Lift. Condition-based maintenance obtains the real-time status of the equipment based on advanced equipment condition monitoring and evaluation technology to consider whether the equipment needs to be overhauled, when, and where to...

AI Technical Summary

Problems solved by technology

However, the traditional steam turbine performance test method is not only expensive, but also needs to apply for load and install many instruments and meters during the test, and it is generally only carried out before and after the new machine is put into operation or overhauled, so it is difficult to evaluate the economic efficiency of the steam turbine at other times

Therefore, it is difficult for power plant operation and maintenance personnel to make real-time and reasonable evaluations of steam turbine economics, and condition-based maintenance is out of the question.

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