Utilizing the Aveva PI System Technology

Data Collection

Throughout the power grid to monitor the status of power, equipment, flow, and other relevant parameters. The platform also leverages meter data to gather energy consumption, voltage levels and outage events, all done in real-time.

Advanced Analytics

  • Predictive Analytics: Use historical data, weather forecasts, and other relevant information to predict potential issues that may lead to outages. This can help your utilities organization, take proactive measures to prevent outages.
  • Machine Learning: Implement machine learning algorithms to analyze large datasets and identify patterns that may indicate equipment failures or other issues leading to outages.

By incorporating DSA’s WatchPost Intelligent Outage Management solution, you can enhance your ability to detect, respond to, and recover from outages more efficiently, ultimately improving the reliability of the power grid and greater situational awareness.

Fault Detection and Localization

  • Fault Detection: Quickly identify the location and cause of faults or failures in your power grid through real-time analysis of sensor data.
  • Geospatial Information Systems (GIS): Integrate GIS technology to map the physical location of equipment and better understand the topology of your distribution network.

Communication and Customer Interaction

Customer Notifications: Use automated systems to notify your team about outages, help to create expected restoration times, and any other relevant information through various communication channels.

Adaptive Systems

Continuously update and improve intelligent outage management systems based on the lessons learned from previous incidents and the integration of new technologies.

Post-Outage Analysis

Conduct thorough post-outage analysis to understand the root causes, assess the effectiveness of the response, and identify areas for improvement.

Fault Detection

Quickly identify the location and cause of faults or failures in your power grid through real-time analysis of sensor data.

Integration with Other Systems

Integration with Customer Information Systems (CIS), Enterprise Resource Planning (ERP) and Computerized Maintenance Management System (CMMS): Ensure seamless integration with other utility systems to access relevant data, streamline processes, and enhance overall operational efficiency.

Continuous Improvement

  • Post-Outage Analysis: Conduct thorough post-outage analysis to understand the root causes, assess the effectiveness of the response, and identify areas for improvement.
  • Adaptive Systems: Continuously update and improve intelligent outage management systems based on the lessons learned from previous incidents and the integration of new technologies.
  • By incorporating DSA’s WatchPost Intelligent Outage Management solution, you can enhance your ability to detect, respond to, and recover from outages more efficiently, ultimately improving the reliability of the power grid and greater situational awareness.