no code implementations • 9 Apr 2018 • Jochen L. Cremer, Ioannis Konstantelos, Simon H. Tindemans, Goran Strbac
Machine learning techniques have been used in the past using Monte Carlo samples to construct predictors of the dynamic stability of power systems.
1 code implementation • 29 Oct 2019 • Simon Tindemans, Goran Strbac
It explains which requirements the MLMC framework imposes on the model hierarchy, and how these naturally occur in power system adequacy assessment problems.
Computation Systems and Control Systems and Control
no code implementations • 16 Dec 2019 • Jochen L. Cremer, Goran Strbac
Probabilistic security assessment and real-time dynamic security assessments (DSA) are promising to better handle the risks of system operations.
no code implementations • 5 Jun 2020 • Jinrui Guo, Luis Badesa, Fei Teng, Balarko Chaudhuri, Shu Yuen Ron Hui, Goran Strbac
The need for Enhanced Frequency Response (EFR) is expected to increase significantly in future low-carbon Great Britain (GB) power system.
no code implementations • 28 Sep 2020 • Luis Badesa, Fei Teng, Goran Strbac
In Part I of this paper we have introduced the closed-form conditions for guaranteeing regional frequency stability in a power system.
Optimization and Control Systems and Control Systems and Control
1 code implementation • 28 Sep 2020 • Luis Badesa, Fei Teng, Goran Strbac
This is the first reported mathematical framework with explicit conditions to maintain frequency stability in a power system exhibiting inter-area oscillations in frequency.
Optimization and Control Systems and Control Systems and Control
1 code implementation • 22 Oct 2020 • Simon H. Tindemans, Goran Strbac
Thermostatically controlled loads such as refrigerators are exceptionally suitable as a flexible demand resource.
no code implementations • 11 Mar 2021 • Cormac O'Malley, Luis Badesa, Fei Teng, Goran Strbac
The reduced inertia levels in low-carbon power grids necessitate explicit constraints to limit frequency's nadir and rate of change during scheduling.
no code implementations • 14 Jan 2022 • Cormac O'Malley, Marko Aunedi, Fei Teng, Goran Strbac
In this paper a new aggregated model for electric vehicle (EV) fleets is presented that considers their daily and weekly usage patterns.
no code implementations • 16 Feb 2022 • Cormac O'Malley, Luis Badesa, Fei Teng, Goran Strbac
Fast frequency response (FR) is highly effective at securing frequency dynamics after a generator outage in low inertia systems.
no code implementations • 23 Mar 2022 • Zihang Dong, Xi Zhang, Goran Strbac
Demand-side response from space heating in residential buildings can potentially provide a huge amount of flexibility for the power system, particularly with deep electrification of the heat sector.
no code implementations • 25 Apr 2022 • Alicia Blatiak, Federica Bellizio, Luis Badesa, Goran Strbac
To take this concept a step further, this paper quantifies the potential revenues to be gained by a commercial EV fleet operator from simultaneously scheduling its trips on a day-ahead basis, as well as its charging.
no code implementations • 6 Jun 2022 • Marko Aunedi, Maria Yliruka, Shahab Dehghan, Antonio Marco Pantaleo, Nilay Shah, Goran Strbac
Delivering low-carbon heat will require the substitution of natural gas with low-carbon alternatives such as electricity and hydrogen.
no code implementations • 1 Jul 2022 • Filiberto Fele, Antonio De Paola, David Angeli, Goran Strbac
A novel modelling framework is proposed for the analysis of aggregative games on an infinite-time horizon, assuming that players are subject to heterogeneous periodic constraints.
no code implementations • 9 Aug 2022 • Luis Badesa, Carlos Matamala, Yujing Zhou, Goran Strbac
Modern electricity grids throughout the world, particularly in islands such as Great Britain, face a major problem on the road to decarbonisation: the significantly reduced level of system inertia due to integration of Renewable Energy Sources (RES).
no code implementations • 9 Dec 2022 • Cormac O'Malley, Patrick de Mars, Luis Badesa, Goran Strbac
We find that deterministic and stochastic MIP consistently produce lower-cost UC schedules than RL, exhibiting better reliability and scalability with problem size.
no code implementations • 8 Apr 2023 • Haiwei Xie, Federica Bellizio, Jochen L. Cremer, Goran Strbac
To address the computational time problem of conventional dynamic security assessment tools, many machine learning (ML) approaches have been proposed and well-studied in this context.
no code implementations • 15 Apr 2023 • Stefan Borozan, Spyros Giannelos, Paola Falugi, Alexandre Moreira, Goran Strbac
The necessary decarbonization efforts in energy sectors entail the integration of flexibility assets, as well as increased levels of uncertainty for the planning and operation of power systems.
no code implementations • 13 Jul 2023 • Carlos Matamala, Luis Badesa, Rodrigo Moreno, Goran Strbac
The reduction in system inertia is creating an important market for frequency-containment Ancillary Services (AS) such as enhanced frequency response (e. g.,~provided by battery storage), traditional primary frequency response and inertia itself.
no code implementations • 21 Aug 2023 • Luis Badesa, Carlos Matamala, Goran Strbac
In this paper, we discuss the issue of cost allocation for these services, highlighting the need to evolve towards a causation-based regulatory framework.