Cloud Computing for the Power Grid: From Service Composition to Assured Clouds
summary
Argues that non-feedback grid functions such as state estimation and economic dispatch (including day‑ahead unit commitment and marginal pricing) can move to public or community clouds to gain elasticity and cost savings while millisecond protection and AGC stay local. Cites existing cloud services (Honeywell AquaCom, GE’s Grid IQ, AutoGrid, IBM, Microsoft), rising sensor rates (30–60 samples/sec) and large datasets (order‑of‑magnitude tens to ~100 TB), and proposes concrete protections: homomorphic encryption, problem transformation (Wisconsin OPF work), multi‑cloud redundant execution and local low‑fidelity checks; regulation and background checks remain major hurdles.
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chapters (13)
- 0:00Intro
- 1:09Electric Power System Overview
- 1:40North American Electric Grid
- 2:29Who is in Charge?
- 3:21Cyber-Physical Infrastructure
- 6:01Power System Operations & Time Scales
- 8:47NIST IR 7628 Reference Diagram
- 10:22Power Applications in the Cloud: Today
- 12:42Power Applications in the Cloud: Future
- 15:13Cloud Computing for Power Operations: Concerns
- 16:54Cloud as Black-box: Assured Service Composition
- 20:09Research Challenges
- 24:50Cloud Computing for Power Operations: Benefits
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