Search Results for author: Goran Strbac

Found 20 papers, 3 papers with code

Who should pay for frequency-containment ancillary services? Providing incentives to shape investment during the energy transition

no code implementations21 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.

Cost Allocation for Inertia and Frequency Response Ancillary Services

no code implementations13 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.

A Machine Learning-Enhanced Benders Decomposition Approach to Solve the Transmission Expansion Planning Problem under Uncertainty

no code implementations15 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.

Computational Efficiency

Regularised Learning with Selected Physics for Power System Dynamics

no code implementations8 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.

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

no code implementations9 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.

Reinforcement Learning (RL) Scheduling

Assigning Shadow Prices to Synthetic Inertia and Frequency Response Reserves from Renewable Energy Sources

no code implementations9 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).

A framework for receding-horizon control in infinite-horizon aggregative games

no code implementations1 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.

Multi-model assessment of heat decarbonisation options in the UK using electricity and hydrogen

no code implementations6 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.

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

no code implementations25 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.

Scheduling

Values of Coordinated Residential Space Heating in Demand Response Provision

no code implementations23 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.

Frequency Response from Aggregated V2G Chargers With Uncertain EV Connections

no code implementations16 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.

Scheduling

Value of Fleet Vehicle Grid in Providing Transmission System Operator Services

no code implementations14 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.

Scheduling

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

no code implementations11 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.

Scheduling

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

1 code implementation22 Oct 2020 Simon H. Tindemans, Goran Strbac

Thermostatically controlled loads such as refrigerators are exceptionally suitable as a flexible demand resource.

Computational Efficiency

Conditions for Regional Frequency Stability in Power System Scheduling -- Part I: Theory

1 code implementation28 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

Conditions for Regional Frequency Stability in Power System Scheduling -- Part II: Application to Unit Commitment

no code implementations28 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

Value of Point-of-load Voltage Control for Enhanced Frequency Response in Future GB Power System

no code implementations5 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.

A Machine-learning based Probabilistic Perspective on Dynamic Security Assessment

no code implementations16 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.

BIG-bench Machine Learning

Accelerating System Adequacy Assessment using the Multilevel Monte Carlo Approach

1 code implementation29 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

Sample-Derived Disjunctive Rules for Secure Power System Operation

no code implementations9 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.

Decision Making

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