Leveraging Cloud Platforms for Grid Modernization
Advanced sensor data analytics and cloud computation are redefining the way modern power grids are monitored and managed. With increasing integration of inverter-based resources (IBRs), there's a critical need for high-resolution, real-time data from systems such as phasor measurement units (PMUs) and point-on-wave sensors recently referred to as waveform measurement units (WMUs). These technologies enable enhanced situational awareness, rapid event detection, and deeper insights into grid dynamics. To support these capabilities at scale, cloud platforms are emerging as essential infrastructure. By eliminating geographical and physical constraints, cloud systems enable seamless data transmission, enterprise-wide access, and scalable analytics. Following a review of these advanced, we will introduce a sensor-to-cloud architecture, allowing synchronized measurement data to stream directly from substations to the cloud, facilitating real-time visualization, alarming, parameter estimation, and event analysis. This architecture also supports Virtual Power Plant (VPP) management by providing the operational data needed for coordinated control and optimization of distributed energy resources, marking a significant shift in utility operations and digital transformation strategies.
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- 8680 Balboa Ave, San Diego, CA 92123
- San Diego, California
- United States 92123
- Building: CP East
- Room Number: 100
- Starts 20 December 2025 08:00 AM UTC
- Ends 13 January 2026 07:00 PM UTC
- No Admission Charge
Speakers
Farrokh Aminifar (Senior Member, IEEE) (faminifar@quanta-technology.