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Riquelme-Dominguez, Jose Miguel (author), Gonzalez-Longatt, Francisco (author), Melo, André Felipe Silva (author), Rueda, José L. (author), Palensky, P. (author)
Future carbon-neutral power systems impose many challenges; one of them is an advanced simulation platform that allows replicating the complex systems' actual dynamic performance. DIgEnSys-Lab is working toward proposing solutions to the most critical challenges to carbon-neutral energy systems. This paper shows preliminary results of...
conference paper 2022
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Gonzalez-Longatt, F. (author), Astapov, Victor (author), Rueda, José L. (author), Palensky, P. (author), Abdellah, Kouzou (author), Olivo, Franklin (author), Chamorro, Harold R. (author)
An N-1 contingency can negatively affect the reliability and security of electrical power systems. A single transmission line outage can cause overload on the local healthy transmission systems, and actions are required to alleviate the overload. Traditionally the system operator uses two actions depending on the operating local area power...
conference paper 2022
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Verduzco, Alejandro (author), Páramo Balsa, Paula (author), Gonzalez-Longatt, Francisco (author), Andrade, Manuel A. (author), Acosta Montalvo, Martha Nohemi (author), Rueda, José L. (author), Palensky, P. (author)
This research paper presents a method that uses measurements of voltages angles, as provided by phasor measurement units (PMU), to accurately detect the sudden disconnection of a generation unit from a power grid. Results in this research paper have demonstrated, in a practical fashion, that a multi-layer perceptron (MLP) neural network (NN) can...
conference paper 2022
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Shengren, H. (author), Salazar, Edgar Mauricio (author), Vergara Barrios, P.P. (author), Palensky, P. (author)
Taking advantage of their data-driven and model-free features, Deep Reinforcement Learning (DRL) algorithms have the potential to deal with the increasing level of uncertainty due to the introduction of renewable-based generation. To deal simultaneously with the energy systems’ operational cost and technical constraints (e.g, generation-demand...
conference paper 2022
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Zomerdijk, W. (author), Gusain, D. (author), Palensky, P. (author), Cvetkovic, M. (author)
A numerical model of a power system can be used to get accurate insights into the impact of policies and investment decisions regarding the transformation of the energy system, while also helping in identifying bottlenecks in implementing decisions. Spatial aggregation, especially for generation and load, must be carefully approached to obtain...
conference paper 2022
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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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Semertzis, I. (author), Subramaniam Rajkumar, Vetrivel (author), Stefanov, Alexandru (author), Fransen, Frank (author), Palensky, P. (author)
Over the past decade, the number of cyber attack incidents targeting critical infrastructures such as the electrical power system has increased. To assess the risk of cyber attacks on the cyber-physical system, a holistic approach is needed that considers both system layers. However, the existing risk assessment methods are either qualitative in...
conference paper 2022
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Páramo-Balsa, Paula (author), Gonzalez-Longatt, Francisco (author), Acosta, Martha N. (author), Rueda, José L. (author), Palensky, P. (author), Sanchez, Francisco (author), Roldan-Fernandez, Juan Manuel (author), Burgos-Payán, Manuel (author)
The computational burden and the time required to train a deep reinforcement learning (DRL) can be appreciable, especially for the particular case of a DRL control used for frequency control of multi-electrical energy storage (MEESS). This paper presents an assessment of four training configurations of the actor and critic network to determine...
conference paper 2022
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Gusain, D. (author), Cvetkovic, M. (author), Yağci, Bekir Caner (author), Palensky, P. (author)
Power-to-X (PtX) technologies are accelerating the energy transition. Increasingly, these technologies are also being leveraged as flexible energy resources to support the electrical grid. PtX models are often represented using a constant efficiency term as a linear relation between the power input and energy output. However, the operational...
conference paper 2022
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Stecca, M. (author), Vermeer, W.W.M. (author), Soeiro, Thiago B. (author), Ramirez Elizondo, L.M. (author), Bauer, P. (author), Palensky, P. (author)
This paper discusses the design and optimization of electric vehicles’ fast-charging stations with on-site photovoltaic energy production and a battery energy storage system. Three scenarios, varying the number of chargers, distance from the main grid, and on-site photovoltaic generation potential, are investigated. Such scenarios are...
conference paper 2022
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Melo, André Felipe Silva (author), Riquelme-Dominguez, Jose Miguel (author), Gonzalez-Longatt, Francisco (author), Rueda, José L. (author), Palensky, P. (author)
Using Ethernet networks and communication protocols for protection applications requires protection engineers to understand different tools and technologies. This paper presents an investigation focused on clarifying the process bus-related concepts considering some relevant hardware, software, and protocol implementation aspects that may lead...
conference paper 2022
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van der Heijden, T.J.T. (author), Palensky, P. (author), van de Giesen, N.C. (author), Abraham, E. (author)
In this manuscript we propose a methodology to generate electricity price scenarios from probabilistic forecasts. Using a Combined Quantile Regression Deep Neural Network, we forecast hourly marginal price distribution quantiles for the DAM on which we fit parametric distributions. A Non-parametric Bayesian Network (BN) is applied to sample from...
conference paper 2022
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Liu, Y. (author), Semertzis, I. (author), Stefanov, Alexandru (author), Palensky, P. (author)
The security issues of Cyber-Physical power Systems (CPS) have attracted widespread attention from scholars. Vulnerability assessment emerges as an effective method to identify the critical components and thus increase the system resilience. While efforts have been made to study the vulnerability features of power systems under the occurrence...
conference paper 2021
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Sirige, S.S.B. (author), Blaauwbroek, Niels (author), Rueda, José L. (author), Palensky, P. (author), Lekić, A. (author)
The ongoing energy transition introduces new load and generation units like photovoltaic generation in the medium-voltage systems network. These generation units increase the variance of the power injections, resulting in increased stochasticity of the power flow values. For confident assessment of the system’s operating condition, a measurement...
conference paper 2021
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van der Heijden, T.J.T. (author), Palensky, P. (author), Abraham, E. (author)
In this paper we propose a Quantile Regression Deep Neural Network capable of forecasting multiple quantiles in one model using a combined quantile loss function, and apply it to probabilistically forecast the prices of 8 European Day Ahead Markets. We show that the proposed loss function significantly reduces the quantile crossing problem to ...
conference paper 2021
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Habibullah, Mohammad (author), Gonzalez-Longatt, Francisco (author), Acosta Montalvo, Martha N. (author), Chamorro, Harold R. (author), Rueda, José L. (author), Palensky, P. (author)
Power electronic converter (PEC) is an enabling technology for the energy transition, but the massive integration of PEC raises several issues. The use of Voltage source converters (VSCs) enabled with grid forming control offer a long-term solution of PEC-dominated power systems. This paper shows a glance of the dynamic performance during short...
conference paper 2021
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Gonzalez-Longatt, Francisco (author), Rueda, José L. (author), Palensky, P. (author), Chamorro, Harold R. (author), Sood, Vijay K. (author)
Inverter based generation (IBG) is a necessary technology in the energy transition and reaching ambitious objectives of zero-net emission. However, the colossal penetration of IBG may create several issues. Using Voltage source converters (VSCs) equipped with the so-called grid forming control is thought of as a long-term solution of IBG...
conference paper 2021
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Barbierato, L. (author), Pons, Enrico (author), Mazza, Andrea (author), Bompard, Ettore Francesco (author), Subramaniam Rajkumar, Vetrivel (author), Palensky, P. (author), Macii, Enrico (author), Bottaccioli, Lorenzo (author), Patti, Edoardo (author)
Co-simulation techniques are gaining popularity amongst the power system research community to analyse future scalable Smart Grid solutions. However, complications such as multiple communication protocols, uncertainty in latencies are holding-up the widespread usage of these techniques for power system analysis. These issues are even further...
conference paper 2021
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Zhang, C. (author), Rakhshani, E. (author), Veerakumar, Nidarshan (author), Rueda, José L. (author), Palensky, P. (author), Gonzalez-Longatt, F. (author)
The frequency stability of the power system is challenged by the high penetration of power electronic interfaced renewable energy sources (RES). Energy storage systems (ESS) are used to supply extra power injection to enhance the frequency stability during a disturbance. This paper presents a novel approach for improving the frequency dynamics...
conference paper 2021
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Perilla Guerra, A.D. (author), Gusain, D. (author), Rueda, José L. (author), Palensky, P. (author), van der Meijden, M.A.M.M. (author), Gonzalez-Longatt, F. (author)
Coping with severe active power imbalances constitutes a challenging task in low inertia multi-energy systems. The phase out of the majority of conventional power plants with large size synchronous generators entails that power electronic interfaced devices should take over the primary task of active power balance-frequency control. In view of...
conference paper 2020
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