JP2022131653A5

JP2022131653A5 -

Info

Publication number: JP2022131653A5
Application number: JP2021030697A
Authority: JP
Filing date: 2021-02-26
Publication date: 2024-02-26

Description

地熱発電プラントでは、例えば、他の発電プラント（火力発電プラントや水力発電プラント等）に比べて蒸気中に地熱由来の不純物が多く含まれる等、苛酷な状況での運用が想定されるため、設備の性能劣化に加えて計測結果を取得するための計測装置の劣化や不良等による見かけ性能の変化が生じやすい。上記（８）の態様によれば、このような事情がある地熱発電プラントにおいても、計測装置の劣化や不良等による見かけ性能の変化を含めて、異常要因を精度よく推定できる。
Geothermal power plants are expected to operate under harsh conditions, such as steam containing more geothermal-derived impurities than other power plants (thermal power plants, hydroelectric power plants, etc.). In addition to performance deterioration, changes in apparent performance are likely to occur due to deterioration or defects in the measuring device used to obtain measurement results. According to the aspect ( 8 ) above, even in a geothermal power generation plant where such a situation exists, it is possible to accurately estimate abnormality factors, including changes in apparent performance due to deterioration or failure of the measuring device.

Claims

A plurality of items showing correlations between a plurality of mutually different parameters that are the process values or the characteristic values using measurement results of the process values of the power generation plant and known characteristic values of the power generation plant.

Based on a comparison with the predicted results of the plurality of deviation functions (φ _i ) assuming a change in any one of the plurality of parameters (x _j ), one or more abnormality factor candidates for the power plant are determined. a step of extracting a parameter (xj) of
A method for estimating abnormality factors in a power generation plant.

In the step of extracting one or more parameters,
Calculating a calculation error between the calculation result and the prediction result,
2. The abnormality factor estimation method for a power plant according to claim 1, wherein the one or more parameters corresponding to the calculation result and the prediction result for which the calculation error is less than or equal to a threshold are selected as the abnormality factor candidates.

In the step of extracting one or more parameters,
As the calculation result, obtain a calculation result pattern defined as a distribution of calculation values based on the actual measured values in each of the plurality of deviation functions,
As the prediction result, obtain a prediction result pattern defined as a distribution of calculated values based on a change in any one of the plurality of parameters in each of the plurality of deviation functions,
The abnormality factor estimation method for a power generation plant according to claim 2, wherein the calculation error is calculated by comparing the calculation result pattern and the prediction result pattern.

The abnormality factor estimation method for a power generation plant according to any one of claims 1 to 3, wherein a parameter of the abnormality factor candidate is selected when a capacity range is exceeded.

3. The method for estimating an abnormality factor in a power plant according to claim 2, wherein the threshold value is set as an allowable error that allows an amount of state change over time with respect to the calculated value.

The abnormal factor estimation method for a power plant according to any one of claims 1 to 5, wherein the plurality of types of relational expressions are updated based on operational data of the power plant over a predetermined period.

The abnormality factor estimation method for a power plant according to any one of claims 1 to 6, further comprising the step of displaying the abnormality factor candidate on a display means.

The abnormality factor estimation method for a power plant according to any one of claims 1 to 7, wherein the power plant is a geothermal power plant.