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Reinforcement Learning and Mixed-Integer Programming for Power Plant Scheduling in Low Carbon Systems: Comparison and Hybridisation
We find that deterministic and stochastic MIP consistently produce lower-cost UC schedules than RL, exhibiting better reliability and scalability with problem size.
Frequency Response from Aggregated V2G Chargers With Uncertain EV Connections
Fast frequency response (FR) is highly effective at securing frequency dynamics after a generator outage in low inertia systems.
Value of Fleet Vehicle Grid in Providing Transmission System Operator Services
In this paper a new aggregated model for electric vehicle (EV) fleets is presented that considers their daily and weekly usage patterns.
Probabilistic Scheduling of UFLS to Secure Credible Contingencies in Low Inertia Systems
The reduced inertia levels in low-carbon power grids necessitate explicit constraints to limit frequency's nadir and rate of change during scheduling.
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