Power Generation
Building an event-based assessment system: AGL’s frequency response verification tool
When a big generator trips on the Australian energy network, grid frequency drops and other generators must immediately increase their output to compensate. AGL Energy required a system to automatically determine whether their large fleet of generators had responded appropriately to these events. To achieve this required a multi-disciplinary effort; this presentation will walk through the build process of the following system:
• The SCADA system pushes high speed meter data (~20ms sampling rate) into Pi following each event, trigger event frames
• An assessment tool coded in Python picks up new event frames and processes the high-speed data to assess the performance of each generator
• PDF reports and performance KPIs are written back to the event frames with alerting for poor performance
• A front-end built on Asset Intellect allows users to view reports at both generator and fleet level