Solar Battery String Failure Diagnosis via Dynamic Power Loss

The system segments the measurement function by providing measurement means for each solar battery string rather than each module, and further segments the analysis by evaluating each string's output characteristics independently. This allows failure detection at the string level while reducing the number of measurement points compared to module-level monitoring.

The invention introduces an output characteristic evaluation unit that acts as an intermediary between the measurement means and failure determination. This unit calculates expected output values based on solar radiation and temperature, then compares actual measurements against these expectations to detect failures, thereby enabling precise failure detection without requiring direct module-level measurement infrastructure.

The invention merges the measurement function into existing connection boxes where measurement means are installed at the string level rather than requiring separate installation infrastructure for each module. This approach combines multiple functions (measurement, communication, and evaluation) into existing structural elements, reducing overall installation cost while maintaining failure detection capability.

The system enables self-service failure detection by automatically calculating expected output values based on environmental conditions (solar radiation and temperature) and comparing them with actual measurements. The output characteristic evaluation unit performs autonomous analysis without requiring manual intervention or additional expensive infrastructure, making the system cost-effective while maintaining high reliability.

The invention implements dynamic threshold adjustment by calculating expected output values based on real-time environmental conditions (solar radiation and temperature). Instead of using fixed threshold values, the system adapts the reference values dynamically according to atmospheric conditions, thereby maintaining both ease of operation and high measurement precision across varying environmental scenarios.

The system changes the reference parameter from fixed threshold values to dynamically calculated expected output values that depend on solar radiation and temperature parameters. By adjusting these parameters based on environmental conditions, the system achieves accurate failure determination without sacrificing operational simplicity, as the evaluation unit automatically handles the parameter adjustments.

The invention implements feedback by continuously monitoring output characteristics and comparing actual measurements with expected values calculated from environmental conditions. When deviations are detected, the system provides feedback information about the nature and magnitude of the deviation, enabling identification of failure causes and informing maintenance planning decisions without significantly increasing system complexity.

The output characteristic evaluation unit serves as an intermediary that not only detects failures but also analyzes the nature of deviations to identify potential failure causes. This intermediary layer processes measurement data and environmental information to generate diagnostic insights, thereby reducing information loss regarding failure causes while maintaining relatively simple system architecture through software-based evaluation rather than additional hardware.