Searched for: department%3A%22Electrical%255C%252BSustainable%255C%252BEnergy%22
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Hennig, R.J. (author), De Vries, Laurens (author), Tindemans, Simon H. (author)
Increasing peaks from high-power loads such as EVs and heat pumps lead to congestion of electric distribution grids. The inherent flexibility of these loads could be used to resolve congestion events. Possible options for this are smart network tariffs, market-based approaches, and direct control of flexible loads by the network operator. In...
journal article 2023
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Shekhar, A. (author), Rituraj, G. (author), van der Sande, Robin (author), Ahmadi, M. (author), Deshmukh, R.S. (author), Bauer, P. (author), Nougain, V. (author), Lekić, A. (author), Palensky, P. (author)
Reliable Power Electronic Systems (PES) are vital for enabling energy transition technologies of the future. Power hardware-in-the-Loop (PHIL) test bed can be used to validate such systems cost-effectively and time-efficiently. In general, the Real Time Digital Twin (RTDT) is a virtual representation of the PES and its operating environment that...
conference paper 2023
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Giannakopoulos, G. (author), Perilla Guerra, A.D. (author), Rueda, José L. (author), Palensky, P. (author), Gonzalez-Longatt, Francisco (author)
Modernization of power systems leads to more power electronic interfaced units in the generation, demand, and transmission. Examples are remotely installed renewable energy sources, loads with constant power, or high voltage direct current (HVDC) corridors. These changes significantly affect the frequency stability margins of the system and...
book chapter 2023
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Verbist, Flore (author), Panda, Nanda Kishor (author), Vergara Barrios, P.P. (author), Palensky, P. (author)
With a growing share of electric vehicles (EVs) in our distribution grids, the need for smart charging becomes indispensable to minimise grid reinforcement. To circumvent the associated capacity limitations, this paper evaluates the effectiveness of different levels of network constraints and different dynamic tariffs, including a dynamic...
conference paper 2023
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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 test the operational performance decrease of a probabilistic framework for Demand Response (DR). We use Day Ahead Market (DAM) price scenarios generated by a Combined Quantile Regression Deep Neural Network (CQR-DNN) and a Non-parametric Bayesian Network (NPBN) to maximise profit of a Battery Energy Storage System (BESS)...
conference paper 2023
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Presekal, A. (author), Stefanov, Alexandru (author), Subramaniam Rajkumar, Vetrivel (author), Palensky, P. (author)
The cyber attacks in Ukraine in 2015 and 2016 demonstrated the vulnerability of electrical power grids to cyber threats. They highlighted the significance of Operational Technology (OT) communication-based anomaly detection. Many anomaly detection methods are based on real-time traffic monitoring, i.e., Intrusion Detection Systems (IDS) that may...
conference paper 2023
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Riquelme-Dominguez, Jose Miguel (author), Gonzalez-Longatt, Francisco (author), Melo, Andre Felipe Silva (author), Rueda, José L. (author), Palensky, P. (author)
Future carbon-neutral power systems impose many challenges; one is the urgent need for a simulation platform that allows replicating the complex systems’ actual dynamic performance. This paper shows the results of implementing a cyber-physical testbed co-simulation in real-time to analyse the system frequency response considering primary...
journal article 2023
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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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Grzebyk, Daniel (author), Alcañiz Moya, A. (author), Donker, Jaap (author), Zeman, M. (author), Ziar, H. (author), Isabella, O. (author)
Due to the inherent uncertainty in photovoltaic (PV) energy generation, an accurate power forecasting is essential to ensure a reliable operation of PV systems and a safe electric grid. Machine learning (ML) techniques have gained popularity on the development of this task due to its increased accuracy. Most literature, however, focuses only...
journal article 2023
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Blom, Y. (author), Vogt, M.R. (author), Ruiz Tobon, C.M. (author), Santbergen, R. (author), Zeman, M. (author), Isabella, O. (author)
The tandem PV technology can potentially increase the efficiency of PV modules over 30%. To design efficient modules, a quantification of the different losses is important. Herein, a model for quantifying the energy loss mechanisms in PV systems under real-world operating conditions with a level of detail back to the components and their...
journal article 2023
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Barbierato, Luca (author), Pons, Enrico (author), Bompard, Ettore Francesco (author), Subramaniam Rajkumar, Vetrivel (author), Palensky, P. (author), Bottaccioli, Lorenzo (author), Patti, Edoardo (author)
Electromagnetic transients (EMT) is the most accurate, but computationally expensive method of analyzing power system phenomena. Thereby, interconnecting several real-time simulators can unlock scalability and system coverage, but leads to a number of new challenges, mainly in time synchronization, numerical stability, and accuracy...
journal article 2023
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Abedi, A. (author), Subramaniam Rajkumar, Vetrivel (author), Stefanov, Alexandru (author), Palensky, P. (author)
This paper presents a methodology to distinguish between three-phase faults and GOOSE cyber attacks, aimed at opening the circuit breakers in the power grid. We propose a scheme that utilizes Phasor Measurement Unit (PMU)-enabled monitoring of power grid states, and communication network packet logs in the substation. In this scheme, by...
conference paper 2023
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Feng, Cheng (author), Zheng, Kedi (author), Zhou, Yangze (author), Palensky, P. (author), Chen, Qixin (author)
With the proliferation of distributed energy resources (DERs), electricity consumers in virtual power plants (VPPs) are transitioning into prosumers and are encouraged to share surplus energy with peers. Nevertheless, large-scale energy sharing among thousands of prosumers may encounter communication-related challenges. Communication network...
journal article 2023
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Vogt, M.R. (author), Pilis, Giorgos (author), Zeman, M. (author), Santbergen, R. (author), Isabella, O. (author)
The photovoltaic (PV) module energy rating standard series IEC 61853 does not cover bifacial PV modules. However, the market share of bifacial PV modules has dramatically increased in recent years and is projected to grow. This work demonstrates how Parts 3 and 4 of the IEC 61853 standard could be extended to bifacial modules. First, we...
journal article 2023
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Akkaoui, R. (author), Stefanov, Alexandru (author), Palensky, P. (author), Epema, D.H.J. (author)
The solar industry in residential areas has been witnessing an astonishing growth worldwide. At the heart of this transformation, affecting the edge of the electricity grid, reside smart inverters (SIs). These IoT-enabled devices aim to introduce a certain degree of intelligence to conventional inverters by integrating various grid support...
journal article 2023
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Mishra, Rajan Kumar (author), Panda, Ramprasad (author), Panda, Nanda Kishor (author)
The widening gap between energy generation and demand on a global scale, coupled with the imperative to reduce emissions, has necessitated the development of largescale sustainable energy solutions. Among the various renewable energy options, Wind Power stands out as a viable source capable of generating substantial amounts of electricity....
conference paper 2023
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Liu, Y. (author), Xie, H. (author), Presekal, A. (author), Stefanov, Alexandru (author), Palensky, P. (author)
Synthetic networks aim at generating realistic projections of real-world networks while concealing the actual system information. This paper proposes a scalable and effective approach based on graph neural networks (GNN) to generate synthetic topologies of Cyber-Physical power Systems (CPS) with realistic network feature distribution. In order...
journal article 2023
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Yang, G. (author), Gram, Remon (author), Procel Moya, P.A. (author), Han, C. (author), Yao, Z. (author), Singh, M. (author), Zhao, Y. (author), Mazzarella, L. (author), Zeman, M. (author), Isabella, O. (author)
Passivating contacts based on poly-Si have enabled record-high c-Si solar cell efficiencies due to their excellent surface passivation quality and carrier selectivity. The eventual existence of pinholes within the ultra-thin SiOx layer is one of the key factors for carrier collection, beside the tunneling mechanism. However, pinholes are usually...
journal article 2023
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Zhao, Y. (author), Procel Moya, P.A. (author), Han, C. (author), Cao, L. (author), Yang, G. (author), Özkol, E. (author), Alcañiz, Alba (author), Kovačević, K. (author), Limodio, G. (author), Santbergen, R. (author), Smets, A.H.M. (author), Weeber, A.W. (author), Zeman, M. (author), Mazzarella, L. (author), Isabella, O. (author)
Silicon heterojunction (SHJ) solar cells have achieved a record efficiency of 26.81% in a front/back-contacted (FBC) configuration. Moreover, thanks to their advantageous high V<sub>OC</sub> and good infrared response, SHJ solar cells can be further combined with wide bandgap perovskite cells forming tandem devices to enable efficiencies well...
journal article 2023
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Singh, M. (author), Amarnath, A. (author), Wagner, Fabian (author), Zhao, Y. (author), Yang, G. (author), Mazzarella, L. (author), Weeber, A.W. (author), Zeman, M. (author), Isabella, O. (author)
Single junction crystalline silicon (c-Si) solar cells are reaching their practical efficiency limit whereas perovskite/c-Si tandem solar cells have achieved efficiencies above the theoretical limit of single junction c-Si solar cells. Next to low-thermal budget silicon heterojunction architecture, high-thermal budget carrier-selective...
journal article 2023
Searched for: department%3A%22Electrical%255C%252BSustainable%255C%252BEnergy%22
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