Smart I-V Curve Diagnosis

Product Description

In utility-scale PV plants, manual inspection of thousands of PV modules using traditional handheld devices is highly time-consuming, costly, and labor-intensive. Huawei’s Smart I-V Curve Diagnosis solution replaces this manual process with automatic online scanning technology. The system actively analyzes voltage-current curve deviations to detect abnormalities early, enabling operators to perform predictive maintenance efficiently.

Key features

• One-Click Operation: The entire I-V curve scanning process across all strings is executed completely online and remotely. Investors do not need to dispatch technical experts or carry bulky measurement equipment to the site.

• High-Speed Full-Scale Scanning: Comprehensive data scanning and analysis at multiple levels, from the plant-level and block-level down to individual smart string inverters.

• Automatic Fault Identification & Remediation Suggestion: The smart system automatically identifies distinct PV string fault types (e.g., shading, diode short circuit). Concurrently, the platform generates detailed reports with specific troubleshooting recommendations for each case.

• Financial Optimization Support: Automatically schedules scans at fixed intervals and generates visual reports, supporting ROI estimates for precise O&M planning.

• Reputable International Certification: Huawei’s Smart I-V Curve Diagnosis has passed rigorous testing workflows and achieved quality certification from the renowned TÜV organization.

Why Choose This Solution?

• High Accuracy: Fault root-cause identification, recurrence rate tracking, and faulty string localization achieve an accuracy rate of up to $\ge$ 95%.

• Reduced Inspection Time: Instead of requiring days for manual inspection, the cloud management platform integrated with inverters completes full-scale utility plant scanning within minutes.

• Actual Yield Enhancement: By enabling early detection and resolution of low-performance strings, the average energy yield of the power plant can increase by 1% to 2%.

• 80% O&M Efficiency Improvement: Real-world data from reference projects demonstrates that average operational and maintenance efficiency increases by approximately 80% after deploying smart diagnosis technology.

• Operational Cost Minimization: Eliminates third-party on-site testing fees and mitigates occupational hazards for technicians climbing onto PV structures.

• Advanced Drone Integration (Optional): Seamlessly combines smart I-V curve diagnosis workflows with thermographic drone imaging to achieve 100% inspection optimization.

Technical specifications summary

• Compatible Inverters: SUN2000-330KTL-H1, SUN2000-215KTL-H0, SUN2000-185KTL-H1, SUN2000-215KTL-H3.

• Supported data management devices: SmartLogger3000 series data loggers.

• Management Software Platforms: SmartPVMS, SmartPVMS(Plant).

• Sampling Points per Curve: Collects up to 128 data points per I-V curve.

• Voltage Measurement Accuracy: ± 0.5% rdg.+ 1dgt. (with rdg. > 5,dgt. = 0.3).

• Current Measurement Accuracy: ± 0.5% rdg.+2dgt. (with rdg. > 0.3,dgt. = 0.006).

• Network Topology: Smart String Inverter → SmartLogger → EMI Dispatcher → SmartPVMS Cloud Management System.