Energy efficiency, demand management, securing energy, global climate change – all important and critical issues facing the utility industry today and driving initiatives such as advanced metering infrastructure (AMI) and the smart grid. Avoiding information overload and making data useable, actionable and accessible will be a significant challenge.
Traditionally, the meter to bill data streams and the operational data streams are isolated within the utility. The users and managers of these systems are not familiar with one another’s business processes or systems. AMI changes this paradigm and challenges us to consider alternatives. AMI data is arguably equally important to billing and managing the grid. A data manager for AMI now has two responsibilities: meter data management (MDM) and operational data management (ODM).
Smart grid benefits require timely recon- ciliation of opera- tional data sources, such as AMI, SCADA and distribu- tion automa- tion. The ODM must have flexible, powerful and smart tools to make this volume of data manageable, useable, actionable and accessible internally and externally.
The PI system
PI AMI smart connectors and PI business gateways seamlessly integrate with the PI System’s scalable architecture and ability to automatically manage tens of millions of data streams (meter readings) and events for a more informative view of the grid and for presentation to billing and other back office systems:
Benefits of the PI System include:
Both MDM and ODM roles must be able to manage extremely large volumes of data from a variety of sources with multiple data frequencies and latencies. To be an effective tool for utilities, a data manager needs to:
- Be flexible to adjust to changing business environments
- Be scalable
- Be highly available
- Self discover and configure device additions and changes
- Support aggregations and complex calculations
- Support VEE, versioning and auditing
- Synchronise with other systems of record
- Manage event data at very high frequencies Store multiple years of large amounts of data online
- Support multiple hierarchies
- Reconcile data with other source systems
- Provide security and health monitoring of IT systems
- Provide easy-to-use data access and visualisation tools for a variety of users.