Real-time estimating method for load margin of thermal power generating units

Abstract

The invention discloses a real-time estimating method for load margin of thermal power generating units. The real-time estimating method includes the steps of collecting design values of various influence factors of the thermal power generating units of a power plant within 12 months and running values of the thermal power generating units under different loads; by a BP (back propagation) neural network process, training out combined weight coefficients of difference values between design values of the influence factors and actual running values to different values between design values of load of the thermal power generating units and actual running values of load, acquiring difference values between design values of different influence factors of the power plant within one month and the maximum actual running value; acquiring real-time rate values of load regulation of the thermal power generating units through the BP neural network by the above steps; calculating the maximum adjustable load values of the thermal power generating units, and taking the maximum designed load values as the maximum adjustable load if the calculated maximum adjustable load values are larger than the maximum actual design load. The real-time estimating method can assist in learning the real-time power generation capacity of the power plant, so that power outputs of the thermal power generating units in a power grid can be adjusted in time according to real-time conditions thereof.

Description

【Technical field】 [0001] The invention belongs to the technical field of thermal power generation, and in particular relates to a real-time prediction method for a thermal power unit load margin. 【Background technique】 [0002] At present, the real-time load adjustment instructions of thermal power units are generally specified by grid dispatchers, without considering the actual unit operating conditions. It often happens that the power plant cannot respond and meet the requirements of the power grid due to technical reasons, resulting in the thermal power unit’s adjustable maximum load under actual conditions. As a result, some units cannot meet the requirements of the power grid due to the actual operating conditions, which will affect the adjustment instructions and real-time accuracy of thermal power units. 【Content of invention】 [0003] The purpose of the present invention is to overcome the above-mentioned defects in the prior art, and provide a real-time prediction...

AI Technical Summary

Problems solved by technology

[0002] At present, the real-time load adjustment instructions of thermal power units are generally specified by grid dispatchers, without considering the actual unit operating conditions. It often happens that the power plant cannot respond and meet the requirements of the power grid due to technical reasons, resulting in the thermal power unit’s adjustable maximum load under actual conditions. As a result, some units cannot meet the requirements of the power grid due to the actual operating conditions, which will affect the adjustment instructions and real-time accuracy of thermal power units.

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