Solar Power Diagnosis via Power Point Transition Analysis
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Solution Overview
Problem
Current methods for diagnosing solar power generation systems are inefficient, requiring shutdowns for electric current-voltage characteristic measurements and relying on output characteristics comparisons that are sensitive to environmental factors, leading to inaccurate and time-consuming diagnostics.
Innovation Solution
A diagnosis method and apparatus that acquire and analyze two measurement values (electric current, voltage, and power) to determine the transition of the power point, allowing for rapid diagnosis without system shutdowns, and normalizing these values by environmental parameters like solar radiation and temperature to identify abnormalities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If electric current-voltage characteristic measurement is performed to diagnose solar battery modules, then diagnostic accuracy is improved, but system shutdown is required causing loss of electric power generation
Solution Approach 1:
The patent changes the measurement parameters from electric current-voltage characteristics (which require shutdown) to output characteristics such as power, voltage, and current that can be measured during operation. This allows diagnosis to be performed without stopping the power conditioner, thus maintaining electric power generation while achieving diagnostic purposes through alternative parameter measurements.
2Measurement precision
If individual modules are measured to diagnose solar battery array, then diagnostic precision is improved, but measurement time and effort are increased
Solution Approach 1:
The patent merges the measurement of multiple individual modules into a single collective measurement of the entire solar battery array. By measuring the output characteristics of the array as a whole rather than each module separately, the diagnostic process is significantly accelerated while still providing meaningful diagnostic information about the overall system performance and identifying potential issues.
3Speed
If output characteristic comparison is performed for diagnosis, then diagnostic speed is improved, but accuracy deteriorates due to sensitivity to environmental factors
Solution Approach 1:
The patent introduces feedback mechanisms that continuously monitor environmental factors such as solar radiation intensity and temperature. These environmental parameters are used to adjust and normalize the reference output characteristics, ensuring that comparisons between actual and reference values account for environmental variations. This feedback approach maintains diagnostic accuracy while preserving the speed benefits of output characteristic comparison.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate and efficient diagnosis of solar power generation system outputs by analyzing power point transitions, distinguishing between temporary and permanent abnormalities, and reducing reliance on reference values and coefficients, thus improving diagnostic accuracy and speed.
Implementation Method 1
the cell 1000 which receives radiation of sunlight to thereby generate an electric current with a photoelectric effect
Data Source
AI summary
A diagnosis device (17) for a solar power generation system, which diagnosis device (17) diagnoses a whole or a part of an output in the solar power generation system includes: a measurement data acquiring section (21) for acquiring an electric current value and a voltage value from an ammeter (12a) and a voltmeter (12b), respectively; and an diagnosing section (25) diagnoses the output on the basis of a motion of a power point indicated by the electric current value and the voltage value thus acquired.