MLPE Sensor Data for PV Module Performance Characterization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Photovoltaic module output under real-world conditions often varies from expected values based on standard test conditions, making it challenging to determine accurate system behavior, and existing methods require cumbersome data collection and multiple sources for real-world operating characteristics.
Innovation Solution
A method and apparatus using module-level power electronics to measure and analyze temperature, DC current, and DC voltage, allowing for the characterization of photovoltaic module performance under real-world conditions without additional sensors, using statistical analysis and algorithms to infer operating characteristics and performance over time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If PV module output is characterized under standard test conditions, then key PV module parameters can be determined for datasheets, but actual PV module output under real-world operating conditions varies from expected output
Solution Approach 1:
The patent changes the operating parameters from standard test conditions to real-world operating conditions by collecting data at actual operating temperatures, irradiance levels, and power outputs. This allows the system to determine PV module characteristics under conditions that reflect actual performance, resolving the contradiction between measurement precision under controlled conditions and reliability under real-world conditions.
2Measurement precision
If weather stations and multiple data sources are used to determine real-world expected PV module behavior, then more accurate real-world characteristics can be obtained, but the process becomes cumbersome
Solution Approach 1:
The patent enables the PV module system to self-characterize by using its own operating data (power output, temperature, irradiance) collected from existing MLPE sensors. Instead of requiring external weather stations and multiple data sources, the system uses its inherent operational parameters to determine real-world characteristics, eliminating the need for complex external data collection infrastructure while maintaining measurement precision.
3Measurement precision
If additional sensors are deployed to collect real-world operating data, then accurate real-world characteristics can be determined, but system complexity and cost increase
Solution Approach 1:
The patent makes the existing MLPE sensors serve multiple functions: they not only perform their primary power conversion and monitoring role but also collect the specific operating data (temperature, irradiance, power output) needed for real-world characterization. This multi-functionality eliminates the need for additional dedicated sensors, reducing system complexity while maintaining measurement precision.
4Ease of manufacture
If PV module performance is characterized under standard test conditions, then manufacturer datasheets can be produced, but remote or difficult-to-access solar power systems require on-site data collection for accurate benchmarking
Solution Approach 1:
The patent enables remote PV systems to self-characterize by collecting and transmitting their own operating data through existing MLPE sensors and communication interfaces. This eliminates the need for on-site data collection trips, allowing accurate benchmarking and performance monitoring of remote or difficult-to-access systems without requiring physical presence, while maintaining the ease of manufacturer datasheet production through standardized data collection methods.
Data Source
AI summary
A method and apparatus for using MLPE data for characterizing real-world operation a PV module. In one embodiment, the method comprises obtaining a plurality of temperature measurements, wherein each temperature measurement is a measure, by an MLPE proximate to a PV module, of temperature; obtaining a plurality of DC voltage measurements, wherein each DC voltage measurement of the plurality of DC voltage measurements is a measure by the MLPE of a DC voltage of the PV module; obtaining a plurality of DC current measurements, wherein each DC current measurement of the plurality of DC voltage measurements is a measure by the MLPE of a DC current of the PV module; obtaining racking design information with respect to the PV module; and determining a plurality of PV module temperatures for the PV module based on the plurality of temperature measurements and the racking design information.