4. But also pumping!
Thanks gsbpower.com
Thanks mdpi.com
You can have
negative
production!
~80% efficiency!
Peak demand is
“shaved”; load
profile much
better.
8. Power systems: key point, the
equilibrium production/demand
● Alternate current
● Constraint:
– production = demand
(frequency / phase)
– ramp constraint
– limited capacity
Thanks wikipedia
9. Power systems: who ?
● Producers
(EDF and others in France)
● Transmission system operators (buy / sell /
equilibrate (incl. locally!))
(RTE in France)
● Distribution
(ERDF in France)
10. The game of power systems: equilibrium
(production = demand, warm up cost, ramp constraints)
Actions
● Building (~ 10 years)
● Modify network topology (minutes)
● Switching on (depends on plants), modify output
● Buying (real time, and ~ days and years) (derivatives)
Random parts
● Faults (seconds and +)
● Consumption (hours and +)
● Water inflows (months and +)
● Technological breakthroughs (years and +)
● With renewable energies: wind, solar
13. Dealing with overproduction
Negative prices on markets (Germany'04):
● When you have to buy renewable energies that you
don't need
● When switching off a slow plant is too expensive
Thanks energytransition.de
19. Hydroelectricity is so cool!
Other storages are ok for short term:
Really good
CAES...
Really exists...
Thanks renewable energies
focus handbook
20. Hydroelectricity: at the interface with
so many things
● Water temperature (also for cooling)
● Water flow (bacterias)
● Big local impact
● Tourism
● Transportation
22. Star trek version of hydroelectricity /
alternate storage
● HVDC to Scandinavia
● Batteries
● Seawater pumped storage
● Electric vehicles
Thanks wikipedia
Thanks technologyreview.com
Thanks wikipedia
23. Star trek version of hydroelectricity /
alternate storage
● Heavy trains
● Fly wheel
● H2
● New hydro (in the sea ?) Thanks sciencealert.com
Thanks technologystudent.com
Thanks lh6.ggpht.com
25. Hydro 1: planning
● Stochastic game
● State = current stock levels + forecasts
● Actions = unit commitment / dispatch / markets
==> quite a challenge.
Methods:
● Model predictive control (but: random parts!)
● Stochastic Dynamic Programming
● Reinforcement learning
26. Hydro 2: optimization
Minimize “costs”:
not convex, not concave, not linear, as a
function of power (installed or instantaneous):
● Convex term: best sites equipped first
● Concave term: economies of scale
● Nonlinear term: efficiency / MW varies
27. Conclusions 1
● Hydroelectricity <==> constraints (tourism, local
impact, irrigation...)
● Crucial ==> energy transition, excellent storage
(in particular annual; the current best overall)
● Difficult to extend
● New methods ?
● HVDC ok (also for stabilizing)
● Completely different storage (H2) ?
● Demand-side management ?
Also: water is
critical for cooling
power plants
(remember 2003!)
28. Conclusions 2
● New annual storage ? Still research. HVDC ok.
● Alternate solutions ? Smart grids, H2, electric
vehicles, frugality…. Yearly storage is hard.
● There are drawbacks, but:
● Coal kills, and there's plenty of coal
● Oil kills and generates idiots
● People don't want (?) nuclear
Thanks albawaba.com & AFP
Thanks Huffington Post
29. Bouhouhou... so much coal.
“Deregulation” ?
Thanks http://www.kr-karlovarsky.cz/ & Bradcollett