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20162022
most citedAncillary services in Great Britain during the COVID-19 lockdown: a glimpse of the carbon-free future

64 citations · 139 across the 9 of their papers we have counts for

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8 papers · 1 filter

eess.SY20223 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,…

eess.SY20222 cited

Value of Optimal Trip and Charging Scheduling of Commercial Electric Vehicle Fleets with Vehicle-to-Grid in Future Low Inertia Systems

Alicia Blatiak, Federica Bellizio, Luis Badesa +1

The electrification of transport is seen as an important step in the global decarbonisation agenda. With such a large expected load on the power system from electric vehicles (EVs)…

eess.SY202215 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.SY202164 cited

Ancillary services in Great Britain during the COVID-19 lockdown: a glimpse of the carbon-free future

Luis Badesa, Goran Strbac, Matt Magill +1

The COVID-19 pandemic led to partial or total lockdowns in several countries during the first half of 2020, which in turn caused a depressed electricity demand. In Great Britain (G…

eess.SY2020

Low-complexity decentralized algorithm for aggregate load control of thermostatic loads

Simon H. Tindemans, Goran Strbac

Thermostatically controlled loads such as refrigerators are exceptionally suitable as a flexible demand resource. This paper derives a decentralised load control algorithm for refr…

eess.SY202015 cited

Challenges and opportunities of inertia estimation and forecasting in low-inertia power systems

Evelyn Heylen, Goran Strbac, Fei Teng

Accurate inertia estimates and forecasts are crucial to support the system operation in future low-inertia power systems. A large literature on inertia estimation methods is availa…