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Innovative Electricity Market Designs to Support a Transition to (Near) 100% Renewable Power System: First Results from H2020 TradeRES Project

Estanqueiro, Ana (author), Strbac, Goran (author), Chrysanthopoulos, Nikolaos (author), Santos, Gabriel (author), Johanndeiter, Silke (author), Algarvio, Hugo (author), Syse, Helleik (author), Sperber, Evelyn (author), Wang, Ni (author), Sanchez Jimenez, I.J. (author), Qiu, Dawei (author), Vale, Zita (author), Nienhaus, Kristina (author), Kochems, Johannes (author), Schimeczek, Christoph (author), Sijm, Jos (author), De Vries, Laurens (author), Lopes, Fernando (author), Couto, António (author)

Developing innovative electricity market designs to facilitate a sustainable transition to (near) 100% renewable power systems while meeting societal needs is a crucial and actual topic of research. This article presents preliminary key findings from the H2020 European project TradeRES, addressing this critical topic. The project uses agent...

journal article 2023

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Generating quality datasets for real-time security assessment: Balancing historically relevant and rare feasible operating conditions

Bugaje, A.-.A.B. (author), Cremer, Jochen (author), Strbac, Goran (author)

This paper presents a novel, unified approach for generating high-quality datasets for training machine-learned models for real-time security assessment in power systems. Synthetic data generation methods that extrapolate beyond historical data can be inefficient in generating feasible and rare operating conditions (OCs). The proposed...

journal article 2023

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Regularised Learning with Selected Physics for Power System Dynamics

Xie, H. (author), Bellizio, Federica (author), Cremer, Jochen (author), Strbac, Goran (author)

Due to the increasing system stability issues caused by the technological revolutions of power system equipment, the assessment of the dynamic security of the systems for changing operating conditions (OCs) is nowadays crucial. To address the computational time problem of conventional dynamic security assessment tools, many machine learning ...

conference paper 2023

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Split-based sequential sampling for realtime security assessment

Bugaje, A.-.A.B. (author), Cremer, Jochen (author), Strbac, Goran (author)

Machine learning (ML) for real-time security assessment requires a diverse training database to be accurate for scenarios beyond historical records. Generating diverse operating conditions is highly relevant for the uncertain future of emerging power systems that are completely different to historical power systems. In response, for the first...

journal article 2023

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Transient Stable Corrective Control Using Neural Lyapunov Learning

Bellizio, Federica (author), Cremer, Jochen (author), Strbac, Goran (author)

This paper proposes a method to compute corrective control actions for dynamic security in real-time and quantifies the economic value of corrective control. Lowered inertia requires fast control methods in real-time to correct system operation and maintain system security when equipment fails. However, using corrective control beyond such...

journal article 2022

document

Machine-learned security assessment for changing system topologies

Bellizio, Federica (author), Cremer, Jochen (author), Strbac, Goran (author)

Machine learning has been used in the past to construct predictors, also known as classifiers, for dynamic security assessment. Although accurate classifiers can be trained for a single topology, often they do not work for another. However, the power system topology can change frequently during operation due to maintenance and control actions...

journal article 2022

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Real-time transmission switching with neural networks

Bugaje, A.-.A.B. (author), Cremer, Jochen (author), Strbac, Goran (author)

The classical formulation of the transmission switching problem as a mixed-integer problem is intractable for large systems in real-time control settings. Several heuristics have been proposed in the past to speed up the computation time, which only limits the number of switchable lines. In this paper, a real-time switching heuristic based on...

journal article 2022

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Transition to Digitalized Paradigms for Security Control and Decentralized Electricity Market

Bellizio, Federica (author), Xu, Wangkun (author), Qiu, Dawei (author), Ye, Yujian (author), Papadaskalopoulos, Dimitrios (author), Cremer, Jochen (author), Teng, Fei (author), Strbac, Goran (author)

Digitalization is one of the key drivers for energy system transformation. The advances in communication technologies and measurement devices render available a large amount of operational data and enable the centralization of such data storage and processing. The greater access to data opens up new opportunities for a more efficient and...

journal article 2022

document

Verifying Machine Learning conclusions for securing Low Inertia systems

Bellizio, Federica (author), Bugaje, Al Amin B. (author), Cremer, Jochen (author), Strbac, Goran (author)

Machine Learning (ML) for real-time Dynamic Security Assessment (DSA) promises a probabilistic approach to secure lower safety margins and costs. However, future systems with a high share of renewables have low inertia and converter-interfaced devices resulting in faster dynamics. Past research on ML-based DSA used high inertia systems to...

journal article 2022

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A causality based feature selection approach for data-driven dynamic security assessment

Bellizio, Federica (author), Cremer, Jochen (author), Sun, Mingyang (author), Strbac, Goran (author)

The integration of renewable energy sources increases the operational uncertainty of electric power systems and can lead to more frequent dynamic phenomena. The use of classifiers from machine learning is promising to include dynamics in the security assessment of the power system. The training of these classifiers is typically performed offline...

journal article 2021

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Selecting decision trees for power system security assessment

Bugaje, Al-Amin B. (author), Cremer, Jochen (author), Sun, Mingyang (author), Strbac, Goran (author)

Power systems transport an increasing amount of electricity, and in the future, involve more distributed renewables and dynamic interactions of the equipment. The system response to disturbances must be secure and predictable to avoid power blackouts. The system response can be simulated in the time domain. However, this dynamic security...

journal article 2021

document

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

Tindemans, Simon H. (author), Strbac, Goran (author)

Thermostatically controlled loads such as refrigerators are exceptionally suitable as a flexible demand resource. This article derives a decentralized load control algorithm for refrigerators. It is adapted from an existing continuous time control approach, with the aim to achieve low computational complexity and an ability to handle discrete...

journal article 2021

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Accelerating system adequacy assessment using the multilevel Monte Carlo approach

Tindemans, Simon H. (author), Strbac, Goran (author)

Accurately and efficiently estimating system performance under uncertainty is paramount in power system planning and operation. Monte Carlo simulation is often used for this purpose, but convergence may be slow, especially when detailed models are used. Previously published methods to speed up computations may severely constrain model complexity...

journal article 2020

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Robust and automatic data cleansing method for short-term load forecasting of distribution feeders

Huyghues-Beaufond, Nathalie (author), Tindemans, Simon H. (author), Falugi, Paola (author), Sun, Mingyang (author), Strbac, Goran (author)

Distribution networks are undergoing fundamental changes at medium voltage level. To support growing planning and control decision-making, the need for large numbers of short-term load forecasts has emerged. Data-driven modelling of medium voltage feeders can be affected by (1) data quality issues, namely, large gross errors and missing...

journal article 2020

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Capacity Value of Interconnection Between Two Systems

Tindemans, Simon H. (author), Woolf, Matt (author), Strbac, Goran (author)

Concerns about system adequacy have led to the establishment of capacity mechanisms in a number of regulatory areas. Against this background, it is essential to accurately quantify the contribution to security of supply that results from interconnectors to neighbouring systems. This paper introduces a definition of capacity value for...

conference paper 2019

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Chance-Constrained Ancillary Service Specification for Heterogeneous Storage Devices

Evans, Michael (author), Angeli, David (author), Strbac, Goran (author), Tindemans, Simon H. (author)

We present a method to find the maximum magnitude of any supply-shortfall service that an aggregator of energy storage devices is able to sell to a grid operator. This is first demonstrated in deterministic settings, then applied to scenarios in which device availabilities are stochastic. In this case we implement chance constraints on the...

conference paper 2019

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Using Vine Copulas to Generate Representative System States for Machine Learning

Konstantelos, Ioannis (author), Sun, Mingyang (author), Tindemans, Simon H. (author), Issad, Samir (author), Panciatici, Patrick (author), Strbac, Goran (author)

The increasing uncertainty that surrounds electricity system operation renders security assessment a highly challenging task; the range of possible operating states expands, rendering traditional approaches based on heuristic practices and ad hoc analysis obsolete. In turn, machine learning can be used to construct surrogate models...

journal article 2019

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Data-driven Power System Operation: Exploring the Balance between Cost and Risk

Cremer, Jochen (author), Konstantelos, Ioannis (author), Tindemans, Simon H. (author), Strbac, Goran (author)

Supervised machine learning has been successfully used in the past to infer a system's security boundary by training classifiers (also referred to as security rules) on a large number of simulated operating conditions. Although significant research has been carried out on using classifiers for the detection of critical operating points, using...

journal article 2019

document

Review of wind generation within adequacy calculations and capacity markets for different power systems

Söder, Lennart (author), Tómasson, Egill (author), Estanqueiro, Ana (author), Flynn, Damian (author), Hodge, Bri Mathias (author), Couto, António (author), Pudjianto, Danny (author), Strbac, Goran (author), De Vries, Laurens (author)

The integration of renewable energy sources, including wind power, in the adequacy assessment of electricity generation capacity becomes increasingly important as renewable energy generation increases in volume and replaces conventional power plants. The contribution of wind power to cover the electricity demand is less certain than...

review 2019

document

Low-complexity control algorithm for decentralised demand response using thermostatic loads

Tindemans, Simon H. (author), Strbac, Goran (author)

Thermostatically controlled loads such as refrigerators are exceptionally suitable as a flexible demand resource. This paper derives a decentralised load control algorithm for refrigerators. It is adapted from an existing continuous time control approach, with the aim to achieve low computational complexity and an ability to handle discrete time...

conference paper 2019