most citedProbabilistic Scheduling of UFLS to Secure Credible Contingencies in Low Inertia Systems

29 citations · 68 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2022★ 3 cited

Reinforcement Learning and Mixed-Integer Programming for Power Plant Scheduling in Low Carbon Systems: Comparison and Hybridisation

Cormac O'Malley, Patrick de Mars, Luis Badesa +1

Decarbonisation is driving dramatic growth in renewable power generation. This increases uncertainty in the load to be served by power plants and makes their efficient scheduling,…

math.OC2022★ 8 cited

Chance-constrained allocation of UFLS candidate feeders under high penetration of distributed generation

Luis Badesa, Cormac O'Malley, Maria Parajeles +1

Under-Frequency Load Shedding (UFLS) schemes are the last resort to contain a frequency drop in the grid by disconnecting part of the demand. The allocation methods for selecting f…

eess.SY2022★ 13 cited

Frequency Response from Aggregated V2G Chargers With Uncertain EV Connections

Cormac O'Malley, Luis Badesa, Fei Teng +1

Fast frequency response (FR) is highly effective at securing frequency dynamics after a generator outage in low inertia systems. Electric vehicles (EVs) equipped with vehicle to gr…

eess.SY2022★ 15 cited

Value of Fleet Vehicle Grid in Providing Transmission System Operator Services

Cormac O'Malley, Marko Aunedi, Fei Teng +1

In this paper a new aggregated model for electric vehicle (EV) fleets is presented that considers their daily and weekly usage patterns. A frequency-constrained stochastic unit com…

eess.SY2021★ 29 cited

Probabilistic Scheduling of UFLS to Secure Credible Contingencies in Low Inertia Systems

Cormac O'Malley, Luis Badesa, Fei Teng +1

The reduced inertia levels in low-carbon power grids necessitate explicit constraints to limit frequency's nadir and rate of change during scheduling. This can result in significan…