Enhancing ANM Reliability with Automatic Data Quality Monitoring

At Silicon Grid, we are committed to driving innovation in Active Network Management (ANM), ensuring smarter, more resilient energy grids. Our latest feature—Automatic Data Quality Monitoring—adds a critical layer of intelligence to ANM systems by continuously assessing the quality of incoming data, ensuring that control decisions are made with reliable, high-integrity information.

Why Data Quality Matters in ANM

ANM systems rely on real-time data from across the network, including power flows, voltages, constraints, and market signals. However, inaccurate or missing data can lead to:

🔸 Incorrect curtailment decisions, causing unnecessary reductions in renewable generation.

🔸 Grid instability, where bad data leads to improper responses.

🔸 Market inefficiencies, impacting flexibility services and optimization.

🔸 Increased operational risk, requiring more manual interventions.

To address these challenges, Automatic Data Quality Monitoring is now embedded in the Silicon Grid ANM algorithm to ensure robust, adaptive decision-making even in challenging conditions.

How Automatic Data Quality Monitoring Works

This new functionality operates as a continuous assessment engine, checking the integrity of data streams in real time. The system calculates an overall data quality score, which determines the reliability of incoming data.

✅ Continuous Monitoring: Evaluates telemetry from SCADA, IoT sensors, and market feeds.

✅ Quality Scoring: Aggregates data integrity, identifying missing or corrupted inputs.

✅ Failsafe Activation: If the score drops below a predefined threshold, ANM automatically switches to failsafe mode, ensuring safe grid operation.

✅ Automatic Recovery: Once data quality improves, the system seamlessly reverts to normal operation—minimizing downtime.

Key Benefits

🔹 Faster Commissioning – ANM systems can be deployed with varying levels of data availability, enabling quicker rollout and reducing integration delays.

🔹 Improved Reliability – The failsafe mechanism protects against poor-quality data, ensuring the network remains secure and stable.

🔹 Smarter Grid Operations – Operators gain confidence in automated, adaptive control, knowing the system self-adjusts to real-world data conditions.

🔹 Optimized Renewable Integration – By preventing unnecessary curtailment due to faulty data, this feature helps maximize DER output and reduce emissions.

A Smarter, More Resilient Future

By embedding Automatic Data Quality Monitoring into Silicon Grid’s ANM platform, we are ensuring that future power grids can operate with confidence, adapting seamlessly to data challenges without compromising stability or efficiency.

This breakthrough feature is another step toward enhancing grid intelligence, accelerating deployment, and maximizing renewable energy adoption.

Stay ahead with Silicon Grid—where data-driven automation meets energy innovation.

Want to learn more? Contact us today to see how Automatic Data Quality Monitoring can enhance your ANM strategy.