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1
Intro
2
Physics of electricity grid balancing
3
Flexibility in the future power system
4
The flexibility spectrum
5
Outline
6
The promise of flexible refrigeration
7
Flexible refrigeration from what' to 'how'
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The demand response control spectrum
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Requirements
10
Complex population constraints
11
Distribution-referred control
12
Constructing a reference population
13
Compute switching actions
14
Controller implementation (summary)
15
Aggregate response
16
Meanwhile, in the lab...
17
Semi-autonomous operation
18
What are the underlying principles?
19
Open challenge: non-trivial mean field
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Elementary device model
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Stochastic behaviour
22
The stochastic balancing problem
23
Summary and outlook
Description:
Explore a 43-minute conference talk on managing grid frequency using noisy on-off appliances, presented by Simon Tindemans from Imperial College at the Alan Turing Institute. Delve into the physics of electricity grid balancing and the role of flexibility in future power systems. Examine the potential of flexible refrigeration for demand response and learn about distribution-referred control methods for complex population constraints. Discover how semi-autonomous operation and stochastic behavior impact grid management. Gain insights into the underlying principles of this approach and consider open challenges in non-trivial mean field applications. The talk covers topics ranging from elementary device models to the stochastic balancing problem, providing a comprehensive overview of innovative techniques for maintaining grid stability using everyday appliances.

Managing Grid Frequency Using Noisy On-Off Appliances - Simon Tindemans, Imperial

Alan Turing Institute
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