Method, computer-implemented tool and power plant control device for detecting power production degradation of solar power plants and solar power plant system

US12470171B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-12470171-B2
Application numberUS-202117207892-A
CountryUS
Kind codeB2
Filing dateMar 22, 2021
Priority dateMar 24, 2020
Publication dateNov 11, 2025
Grant dateNov 11, 2025

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Abstract

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In order to detect power production degradation of a solar power plant (SPP) with at least one photovoltaic module (PVM), by which the detection of power production degradation, affected for instance by long term aging or soiling of the photovoltaic module of the solar power plant, is automated and carried out sensorless, it is proposed to determine the degradation by calibrating local measurements of data related to module/plant-internal parameters (PT) such as irradiance I and temperature T or electric power P and temperature as measurement data (MD I,ti , MD T,ti , MD P,ti against irradiance reference data (RD I,ti ) for instance satellite data in the form of weather data for the same time and then analyze a variation of the calibration.

First claim

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The invention claimed is: 1 . A power plant control device in a solar power plant (SPP) for detecting power production degradation of the solar power plant, wherein the power plant control device comprises a control unit, a power plant interface and at least one photovoltaic module (PVM), and wherein a) from the at least one photovoltaic module (PVM) of the solar power plant (SPP), due to power plant measurements (PPME) of parameters from the at least one photovoltaic module (PVM) of the solar power plant (SPP), a measurement of an irradiance I as a first parameter and a temperature T as a second parameter during a recurring time interval (ti), irradiation measurement data (MD I,ti ) and temperature measurement data (MD T,ti ) are collected and stored, wherein the detecting of the power production degradation comprising aging and/or soiling of the at least one photovoltaic module (PVM) of the solar power plant (SPP) is automated, b) related to the measured irradiance I per time interval (ti), irradiance reference data (RD I,ti ) is used, wherein: a non-transitory, processor-readable storage medium (STM) comprising processor-readable program-instructions of a program module (PGM) for detecting the power production degradation of the solar power plant (SPP) stored in the non-transitory, processor-readable storage medium (STM) and a processor (PRC) connected with the non-transitory, processor readable storage medium (STM) executing the processor-readable program-instructions of the program module (PGM) to detect the power production degradation, wherein the program module (PGM) and the processor (PRC) form a calculation engine (CE) such that: c) a time period (tp) with tp>n·ti (ti=1, ti=2, . . . ti=n) is selected, d) an equivalence model for the time period (tp) is executed by accessing irradiation evaluation data (ED I,tp ) including irradiation measurement data (MD I,ti=1 , MD I,ti=2 , . . . MD I,ti=n ) of the irradiation measurement data (MD I,ti ), irradiation comparison data (CD I,tp ) including irradiation reference data (RD I,ti=1 , RD I,ti=2 , . . . RD I,ti=n ) of the irradiation reference data (RD I,ti ) and temperature evaluation data (ED T,tp ) including temperature measurement data (MD T,ti=1 , MD T,ti=2 , . . . MD T,ti=n ) of the temperature measurement data (MD T,ti ), calculating an equivalence function f(ED I,tp , ED T,tp ) to determine a model equivalence between the irradiation evaluation data (ED I,tp ) and the temperature evaluation data (ED T,tp ) on the one hand and the irradiation comparison data (CD I,tp ) on the other hand, e) for the determination of the model equivalence a temperature compensation factor (β T ), a irradiance compensation factor (β I ) and a variability compensation factor (α I ) a are estimated which is influenced by the power production degradation, and f) a trend analysis of an evolutionary course of the variability compensation factor (α I ) being estimated accordingly over numerous time periods (tp) with constant or variable time durations is evaluated or done. 2 . The power plant control device according to claim 1 , wherein the calculation engine (CE) is configured such that the time period (tp) for detecting the power production degradation is cleaned by inter alia eliminating periods with useless data due to operational metadata (OMD) of the solar power plant (SPP) relating to outages of the solar power plant (SPP) or power curtailment due to control actions of the solar power plant (SPP) and/or used for at least one of synchronization and maximum-power-point-tracking issues. 3 . The power plant control device according to claim 1 , wherein the calculation engine (CE) is configured such that a time information (TI) for initiating an action to counter the power production degradation is outputted as result of evaluating or doing the trend analysis of the evolutionary course of the variability compensation factor (α I ). 4 . The power plant control device according to claim 1 , wherein the variability compensation factor (α I ) is a proportionality compensation factor. 5 . The power plant control device according to claim 1 , wherein the irradiance I is at least one of a “Global Horizontal Irradiance <GHI>” and a “Plane Of Array Irradiance <POA Irradiance>”. 6 . The power plant control device according to claim 1 , wherein the equivalence function f(ED I,tp , ED T,tp ) is a linear function with f ( ED I,tp,i ,ED T,tp,i )=α I ·ED I,tp,i ·(1+β T ( ED T,tp,i −C T ))·(1+β I ( ED I,tp,i −C I )), ED I,tp,i is an i-th irradiation evaluation data for the time period (tp) respectively the i-th of the irradiation measurement data (MD I,ti=1 , MD I,ti=2 , . . . MD I,ti=n ) each locally measured by a local sensor for the time period and correspondingly stored; ED T,tp,i is an i-th temperature evaluation data for the time period respectively the i-th temperature measurement data of the temperature measurement data (MD T,ti=1 , MD T,ti=2 , . . . MD T,ti=n ) each locally measured on the back of the photovoltaic module (PVM) of the solar power plant (SPP) for the time period (ti) and correspondingly stored; C T is a “standard test conditions temperature”; C I is a “standard test conditions irradiance” and a value estimation of the compensation factors α I , β T , β I can be written as: α I , β T , β I = arg ⁢ min ⁢ ∑ i = 1 n [ CD I , tp , i - f ⁡ ( ED I , tp , i , ED T , tp , i ) ] 2 .

Assignees

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Classifications

  • involving maximum power point tracking control for photovoltaic sources · CPC title

  • Generation forecast, e.g. methods or systems for forecasting future energy generation · CPC title

  • Power conversion systems, e.g. maximum power point trackers · CPC title

  • H02S50/10Primary

    Testing of PV devices, e.g. of PV modules or single PV cells (testing of semiconductor devices during manufacturing {H10P74/00}) · CPC title

  • Predictive maintenance, e.g. involving the monitoring of a system and, based on the monitoring results, taking decisions on the maintenance schedule of the monitored system; Estimating remaining useful life [RUL] (preventive maintenance, i.e. planning maintenance according to the available resources without monitoring the system G06Q10/06) · CPC title

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What does patent US12470171B2 cover?
In order to detect power production degradation of a solar power plant (SPP) with at least one photovoltaic module (PVM), by which the detection of power production degradation, affected for instance by long term aging or soiling of the photovoltaic module of the solar power plant, is automated and carried out sensorless, it is proposed to determine the degradation by calibrating local measurem…
Who is the assignee on this patent?
Siemens Ag
What technology area does this patent fall under?
Primary CPC classification H02S50/10. Mapped technology areas include Electricity.
When was this patent published?
Publication date Tue Nov 11 2025 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 3 related publications on this page (citations in our corpus or others sharing the same primary CPC).