Searched for: author%3A%22Tindemans%2C+Simon+H.%22
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Evans, Michael (author), Tindemans, Simon H. (author), Angeli, David (author)
This paper proposes a framework for the procurement of flexibility reserve from aggregated storage fleets. It allows for arbitrary tree structures of aggregation hierarchy, as well as easily implementable disaggregation via broadcast dispatch. By coupling discharge and recovery modes, the proposed framework enables full-cycle capacity to be...
journal article 2022
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Wang, C. (author), Sharifnia, E. (author), Gao, Zhi (author), Tindemans, Simon H. (author), Palensky, P. (author)
For planning of power systems and for the calibration of operational tools, it is essential to analyse system performance in a large range of representative scenarios. When the available historical data is limited, generative models are a promising solution, but modelling high-dimensional dependencies is challenging. In this paper, a...
journal article 2022
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Yang, Q. (author), Simão, T. D. (author), Tindemans, Simon H. (author), Spaan, M.T.J. (author)
Safety is critical to broadening the real-world use of reinforcement learning (RL). Modeling the safety aspects using a safety-cost signal separate from the reward is becoming standard practice, since it avoids the problem of finding a good balance between safety and performance. However, the total safety-cost distribution of different...
conference paper 2022
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Viebahn, Jan (author), Naglic, Matija (author), Marot, Antoine (author), Donnot, Benjamin (author), Tindemans, Simon H. (author)
Given the increasing need to meet the new operational requirements of power systems and prepare for the future, adaptation of cutting-edge Artificial Intelligence (AI) technologies in the operational processes is paramount to timely meet the challenges. The focus of this paper is on applying AI in power system operations, in particular for the...
conference paper 2022
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Nibhanupudi, S.S. (author), Ishchenko, Anton (author), Tindemans, Simon H. (author), Palensky, P. (author)
Transition from fossil fuels to sustainable sources of energy like wind and solar is the need of the hour. All over the globe, plans are in motion to achieve this goal. This implies addition of new elements to the grid in the form of Distributed Energy Resources (DERs). These affect the working of distribution grids and to ensure reliable as...
conference paper 2022
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Stephen, Gord (author), Tindemans, Simon H. (author), Fazio, John (author), Dent, Chris J. (author), Figueroa Acevedo, Armando (author), Bagen, Bagen (author), Crawford, Alex (author), Klaube, Andreas (author), Logan, Douglas (author), Burke, Daniel (author)
The loss-of-load expectation (LOLE) risk metric has been used in probabilistic power system resource adequacy assessment for over 70 years, and today is one of the most recognizable and widely-used measures of system shortfall risk. However, this wide adoption has been accompanied by ambiguities and inconsistencies in its definition and...
conference paper 2022
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Sakis Meliopoulos, A.P. (author), Papic, Milorad (author), Tindemans, Simon H. (author), Ekisheva, Svetlana (author), Yue, Meng (author), Logan, Douglas M. (author)
Composite Power System Reliability is defined as the computational procedure that quantifies the probability that the power system will perform the function of delivering electric power to customers adequately, on a continuous basis and with an acceptable quality. This definition leaves many details undefined and exemplifies the ambiguity in...
conference paper 2022
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Sharifnia, E. (author), Tindemans, Simon H. (author)
Monte Carlo simulation is often used for the reliability assessment of power systems, but it converges slowly when the system is complex. Multilevel Monte Carlo (MLMC) can be applied to speed up computation without compromises on model complexity and accuracy that are limiting real-world effectiveness. In MLMC, models with different complexity...
conference paper 2022
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Hennig, R.J. (author), Ribo-Perez, D.G. (author), De Vries, Laurens (author), Tindemans, Simon H. (author)
The adoption of distributed energy resources such as PV cells, electric vehicles and batteries in electric grids is increasing steadily. This brings new challenges for distribution networks. The current network tariffs were not designed for these types of usage and, in many cases, they are not adequate anymore. Thus, many new tariff frameworks...
journal article 2022
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Hennig, R.J. (author), Tindemans, Simon H. (author), De Vries, Laurens (author)
The steady uptake of PV cells and high-power flexible loads such as electric vehicles (EVs) and heat pumps can lead to localized network congestion, if their power consumption or feed-in is not controlled well. One potential way that has been proposed to manage this congestion, are so-called Local Flexibility Markets. It is often argued, that...
conference paper 2022
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Bagen, Bagen (author), Bhavaraju, Murty (author), Choi, Jaeseok (author), Ekisheva, Svetlana (author), Kang, Sun Wook (author), Karki, Rajesh (author), Lin, Wei (author), Logan, Douglas (author), Lombardi, Michael (author), Sakis Meliopoulos, A.P. (author), Mitra, Joydeep (author), Mitra, Parag (author), Osman, Mohamed (author), Papic, Milorad (author), Tindemans, Simon H. (author), Yang, Zhifeng (author), Yu, Yuan (author), Yue, Meng (author)
his technical report reviews the state-of-the-art in composite system reliability (CSR) evaluation. Reliability assessment methods for composite generation and transmission systems have been developed in recent decades. However, maintaining an adequate level of reliability of the modern power grid is particularly challenging today due to many...
report 2022
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Yang, Q. (author), Simão, T. D. (author), Tindemans, Simon H. (author), Spaan, M.T.J. (author)
Safety is critical to broadening the real-world use of reinforcement learning. Modeling the safety aspects using a safety-cost signal separate from the reward and bounding the expected safety-cost is becoming standard practice, since it avoids the problem of finding a good balance between safety and performance. However, it can be risky to set...
journal article 2022
document
Wang, C. (author), Tindemans, Simon H. (author), Palensky, P. (author)
Generating power system states that have similar distribution and dependency to the historical ones is essential for the tasks of system planning and security assessment, especially when the historical data is insufficient. In this paper, we described a generative model for load profiles of industrial and commercial customers, based on the...
conference paper 2022
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Segundo Sevilla, Felix Rafael (author), Liu, Yanli (author), Barocio, Emilio (author), Korba, Petr (author), Andrade, Manuel (author), Chaudhuri, Balarko (author), Cremer, Jochen (author), Rueda, José L. (author), Tindemans, Simon H. (author)
Nowadays, transmission system operators require higher degree of observability in real-time to gain situational awareness and improve the decision-making process to guarantee a safe and reliable operation. Digitalization of energy systems allows utilities to monitor the system dynamic performance in real-time at fast time scales. The use of...
journal article 2022
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Yang, Q. (author), Simão, T. D. (author), Tindemans, Simon H. (author), Spaan, M.T.J. (author)
Safe exploration is regarded as a key priority area for reinforcement learning research. With separate reward and safety signals, it is natural to cast it as constrained reinforcement learning, where expected long-term costs of policies are constrained. However, it can be hazardous to set constraints on the expected safety signal without...
conference paper 2021
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Subramanian, S.M. (author), Viebahn, Jan (author), Tindemans, Simon H. (author), Donnot, Benjamin (author), Marot, Antoine (author)
System operators are faced with increasingly volatile operating conditions. In order to manage system reliability in a cost-effective manner, control room operators are turning to computerised decision support tools based on AI and machine learning. Specifically, Reinforcement Learning (RL) is a promising technique to train agents that suggest...
conference paper 2021
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Betge, J.N. (author), Droste, Barbera (author), Heres, Jacco (author), Tindemans, Simon H. (author)
Identifying future congestion points in electricity distribution networks is an important challenge distribution system operators face. A proven approach for addressing this challenge is to assess distribution grid adequacy using probabilistic models of future demand. However, computational cost can become a severe challenge when evaluating...
conference paper 2021
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Ramkumar, S. (author), Abdelghany, H.A.M.F. (author), Tindemans, Simon H. (author)
Increasing participation of prosumers in the electricity grid calls for efficient operational strategies for utilizing the flexibility offered by Distributed Energy Resources (DER) to match supply and demand. This paper investigates the coordination performance of a recently proposed coordination scheme for deferrable loads: Forecast Mediated...
conference paper 2021
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Zachary, Stan (author), Tindemans, Simon H. (author), Evans, Michael (author), Cruise, James (author), Angeli, David (author)
The increasing reliance on renewable energy generation means that storage may well play a much greater role in the balancing of future electricity systems. We show how heterogeneous stores, differing in capacity and rate constraints, may be optimally, or nearly optimally, scheduled to assist in such balancing, with the aim of minimizing the...
journal article 2021
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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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