Features extraction of wind ramp events from a virtual wind park

Authors: Sambeet Mishra, Esin Ören, Chiara Bordin, Fushuan Wen, Ivo Palu

Source: Energy Reports, Vol 6, Iss, Pp 237-249 (2020)

Subject Terms: VDP::Teknologi: 500::Elektrotekniske fag: 540::Elkraft: 542, 0211 other engineering and technologies, 02 engineering and technology, VDP::Technology: 500::Electrotechnical disciplines: 540::Electrical power engineering: 542, 7. Clean energy, Data science, TK1-9971, 13. Climate action, Rainflow counting, 0202 electrical engineering, electronic engineering, information engineering, Feature extraction, Electrical engineering. Electronics. Nuclear engineering, Time series variations, Wind power production, Ramp events

Access URL: https://doaj.org/article/e6f9b0636ea84b46b14267b275efade1
https://munin.uit.no/handle/10037/20492
https://www.sciencedirect.com/science/article/pii/S2352484720313020
https://hdl.handle.net/10037/20492
https://doi.org/10.1016/j.egyr.2020.08.047

Automatic autonomous vision-based power line inspection: A review of current status and the potential role of deep learning

Authors: Nguyen, van Nhan, Jenssen, Robert, Roverso, Davide

Source: International Journal of Electrical Power & Energy Systems. 99:107-120

Subject Terms: Power line inspection, VDP::Teknologi: 500::Elektrotekniske fag: 540::Elkraft: 542, VDP::Technology: 500::Information and communication technology: 550::Other information technology: 559, Vision-based inspection, 0202 electrical engineering, electronic engineering, information engineering, Deep learning, 02 engineering and technology, VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Annen informasjonsteknologi: 559, UAVs, VDP::Technology: 500::Electrotechnical disciplines: 540::Electrical power engineering: 542

Access URL: https://munin.uit.no/bitstream/10037/14790/4/article.pdf
https://www.sciencedirect.com/science/article/abs/pii/S0142061517324444
https://munin.uit.no/handle/10037/14790?locale-attribute=en
https://munin.uit.no/bitstream/10037/14790/4/article.pdf
https://hdl.handle.net/10037/14790

Modeling of photovoltaic power generation and electric vehicles charging on city-scale: A review

Authors: Joakim Munkhammar, Joakim Widén, Tobias Boström, Mahmoud Shepero, Justin D.K. Bishop

Source: Renewable and Sustainable Energy Reviews. 89:61-71

Subject Terms: VDP::Teknologi: 500::Elektrotekniske fag: 540::Elkraft: 542, VDP::Teknologi: 500::Miljøteknologi: 610, Electric vehicle charging models, 13. Climate action, VDP::Technology: 500::Environmental engineering: 610, 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, Photovoltaics power production models, 02 engineering and technology, VDP::Technology: 500::Electrotechnical disciplines: 540::Electrical power engineering: 542, 7. Clean energy

Access URL: https://munin.uit.no/bitstream/10037/15388/4/article.pdf
http://www.diva-portal.org/smash/record.jsf?pid=diva2:1241300
http://uu.diva-portal.org/smash/record.jsf?pid=diva2:1241300
https://munin.uit.no/bitstream/10037/15388/4/article.pdf
https://munin.uit.no/handle/10037/15388
https://ideas.repec.org/a/eee/rensus/v89y2018icp61-71.html
https://www.sciencedirect.com/science/article/pii/S1364032118300625
https://hdl.handle.net/10037/15388

Optimal midterm peak shaving cost in an electricity management system using behind customers' smart meter configuration

Authors: Sanchez de la Nieta, Agustin, Ilieva, Iliana, Gibescu, Madeleine, Bremdal, Bernt Arild, Simonsen, Stig, Gramme, Eivind

Subject Terms: VDP::Technology: 500::Electrotechnical disciplines: 540::Electrical power engineering: 542, VDP::Teknologi: 500::Elektrotekniske fag: 540::Elkraft: 542

Relation: Applied Energy; info:eu-repo/grantAgreement/EC/H2020/646039/EU/ERA-Net Smart Grids Plus: support deep knowledge sharing between regional and European Smart Grids initiatives/ERANet SmartGridPlus/; Sanchez de la Nieta, Ilieva I, Gibescu M, Bremdal BA, Simonsen S, Gramme E. Optimal midterm peak shaving cost in an electricity management system using behind customers smart meter configuration. Applied Energy. 2020; FRIDAID 1839918; https://hdl.handle.net/10037/21276

Availability: https://hdl.handle.net/10037/21276
https://doi.org/10.1016/j.apenergy.2020.116282

Estimation of the energy-mix proportion for the secure operation of converter dominated power system

Authors: Shrestha, Ashish

Subject Terms: VDP::Technology: 500::Electrotechnical disciplines: 540::Electrical power engineering: 542

File Description: application/pdf

Relation: Doctoral dissertations at the University of South-Eastern Norway;186; Article 1: Shrestha, A., Mohammed A.M.Y., Sharma, B. & Gonzalez-Longatt, F.: A narrative review highlighting challenges and opportunities for making 100% renewable grid. Manuscript submitted to Renewable and Sustainable Energy Reviews. Not available online; Article 2: Shrestha, A. & Gonzalez-Longatt, F.: Frequency stability issues and research opportunities in converter dominated power system. Energies, 14(14), (2021), 4184. https://doi.org/10.3390/en14144184; Article 3: Shrestha, A. & Gonzalez-Longatt, F.: Parametric sensitivity analysis of rotor angle stability indicators. Energies, 14(16), (2021), 5023. https://doi.org/10.3390/en14165023; Article 4: Shrestha, A., Ghimire, B. & Gonzalez-Longatt, F.: Bayesian model to forecast the time series kinetic energy data for a power system. Energies, 14(11), (2021), 3299. https://doi.org/10.3390/en14113299; Article 5: Shrestha, A., Rajbhandari, Y. & Gonzalez-Longatt, F.: Day-ahead energy-mix proportion for the secure operation of renewable energy-dominated power system. International Journal of Electrical Power & Energy Systems, 155, Part B, (2024), 109560. https://doi.org/10.1016/j.ijepes.2023.109560; Article 6: Shrestha, A., Marahatta, A., Rajbhandari, Y. & Gonzalez-Longatt, F.: Deep reinforcement learning method in estimation of electricity-mix proportion for the secure operation of converter dominated power system. Revised manuscript submitted to Energy Reports. The published version is available at https://doi.org/10.1016/j.egyr.2024.01.008; https://hdl.handle.net/11250/3125358

Availability: https://hdl.handle.net/11250/3125358

Model Predictive Control for Energy Systems under Uncertainty

Authors: Jeong, Changhun

Subject Terms: VDP::Technology: 500::Electrotechnical disciplines: 540::Electrical power engineering: 542

File Description: application/pdf

Relation: Doctoral dissertations at the University of South-Eastern Norway;201; Appendix A: Jeong, C., Furenes, B. & Sharma, R.: MPC Operation with Improved Optimal Control Problem at Dalsfoss Power Plant. Proceedings of The First SIMS EUROSIM Conference on Modelling and Simulation, SIMS EUROSIM 2021, and 62nd International Conference of Scandinavian Simulation Society, SIMS 2021, September 21-23, Virtual Conference, Finland, p. 226-233. https://doi.org/10.3384/ecp21185226; Appendix B: Jeong, C. & Sharma, R.: Stochastic MPC For Optimal Operation of Hydropower Station Under Uncertainty. IFAC-PapersOnLine, 55(7), (2022), 155-160. https://doi.org/10.1016/j.ifacol.2022.07.437; Appendix C: Jeong, C., Furenes, B. & Sharma, R.: Multistage Model Predictive Control with Simplified Scenario Ensembles for Robust Control of Hydropower Station. MIC Journal: Modeling, Identification and Control, 44(2), (2023), 43-54. https://doi.org/10.4173/mic.2023.2.1; Appendix D: Jeong, C. & Sharma, R.: Multistage Model Predictive Control with Simplified Method on Scenario Ensembles of Uncertainty for Hjartdøla Hydropower System. Proceedings of the 7th IEEE Conference on Control Technology and Applications (CCTA) 2023, August 16-18 2023, Bridgetown, Barbados. https://doi.org/10.1109/CCTA54093.2023.10252685. Not available online.; Appendix E: Jeong, C., Furenes, B. & Sharma, R.: Stochastic Sequential Model Predictive Control for Operating Buffer Reservoir in Hjartdøla Hydropower System under Uncertainty. Manuscript under review in MIC Journal: Modeling, Identification and Control; Appendix F: Jeong, C., Furenes, B. & Sharma, R.: Implementation of simplified sequential stochastic model predictive control for operation of hydropower system under uncertainty. Computers and Chemical Engineering, 179, (2023), 108409. https://doi.org/10.1016/j.compchemeng.2023.108409; Appendix G: Jeong, C., Brastein, O.M., Skeie, N.-O. & Sharma, R.: Hybrid Model Predictive Control Scheme for Controlling Temperature in Building Under Uncertainties. IEEE Access, 11, (2023), 116820-116832. https://doi.org/10.1109/ACCESS.2023.3324691; https://hdl.handle.net/11250/3132699

Availability: https://hdl.handle.net/11250/3132699

Computational Fluid Dynamic Analysis of the Tesla Valve

Authors: Eidesen, Hans-Kristian, Khawaja, Hassan Abbas

Subject Terms: VDP::Teknologi: 500, VDP::Technology: 500, VDP::Teknologi: 500::Elektrotekniske fag: 540::Elkraft: 542, VDP::Technology: 500::Electrotechnical disciplines: 540::Electrical power engineering: 542

Relation: FRIDAID 1403769; https://hdl.handle.net/10037/10218

Availability: https://hdl.handle.net/10037/10218

Potential for Usage of Thermoelectric Generators on Ships

Authors: Nils Kristiansen, Henrik Kofoed Nielsen

Source: Kristiansen, N & Nielsen, H K 2010, 'Potential for Usage of Thermoelectric Generators on Ships', Journal of Electronic Materials, vol. 39, no. 9, pp. 1746-1749. https://doi.org/10.1007/s11664-010-1189-1

Subject Terms: Thermoelectric generator (TEG), VDP::Technology: 500::Electrotechnical disciplines: 540::Electrical power engineering: 542, Ship, Waste heat recovery, 7. Clean energy, 12. Responsible consumption

File Description: application/pdf

Access URL: https://uia.brage.unit.no/uia-xmlui/bitstream/11250/136763/1/Kristiansen_2010_Potential.pdf
https://uia.brage.unit.no/uia-xmlui/handle/11250/136763
http://ui.adsabs.harvard.edu/abs/2010JEMat..39.1746K/abstract
https://vbn.aau.dk/en/publications/potential-for-usage-of-thermoelectric-generators-on-ships
https://brage.bibsys.no/xmlui/handle/11250/136763
https://uia.brage.unit.no/uia-xmlui/bitstream/11250/136763/1/Kristiansen_2010_Potential.pdf
http://hdl.handle.net/11250/136763

Solar angle optimizer

Authors: Haque, Md Emranul

Subject Terms: VDP::Teknologi: 500::Elektrotekniske fag: 540::Elkraft: 542, ELE-3900, VDP::Technology: 500::Electrotechnical disciplines: 540::Electrical power engineering: 542

Access URL: https://hdl.handle.net/10037/32211

Voltage Control In Smart Distribution Network With Limited Reactive Power Capacity Of Smart Inverter Using Machine Learning

Authors: Haider, Syed Muhammad Aizaz

Subject Terms: VDP::Teknologi: 500::Elektrotekniske fag: 540::Elkraft: 542, ELE-3900, VDP::Technology: 500::Electrotechnical disciplines: 540::Electrical power engineering: 542

Access URL: https://hdl.handle.net/10037/35307

Muliggjørende teknologi og rammebetingelser

Authors: Sæle, Hanne, Grande, Ove Steinar, Ingebrigtsen, Karoline, Ahcin, Peter

Subject Terms: VDP::Technology: 500::Electrotechnical disciplines: 540::Electrical power engineering: 542, VDP::Teknologi: 500::Elektrotekniske fag: 540::Elkraft: 542

Relation: SINTEF Rapport; 427-2018; FRIDAID 1578528; https://hdl.handle.net/10037/19841

Availability: https://hdl.handle.net/10037/19841

Modelling Tool for Hydropower Systems, with Analysis and Design

Authors: Pandey, Madhusudhan

Contributors: Lie, Bernt

Subject Terms: VDP::Technology: 500::Electrotechnical disciplines: 540::Electrical power engineering: 542

File Description: application/pdf

Access URL: https://hdl.handle.net/11250/3093026

Seasonal storage of energy at UiT the arctic university of Norway in Narvik

Authors: Alfnes, Dennis

Contributors: Sharma, Pawan

Subject Terms: VDP::Teknologi: 500::Elektrotekniske fag: 540::Elkraft: 542, VDP::Samfunnsvitenskap: 200::Økonomi: 210::Samfunnsøkonomi: 212, VDP::Social science: 200::Economics: 210::Economics: 212, VDP::Technology: 500::Electrotechnical disciplines: 540::Electrical power engineering: 542

Access URL: https://hdl.handle.net/10037/32105

Voltage Control in Smart Distribution Network with High Integration of DERs

Authors: Wagle, Raju

Contributors: Sharma, Pawan

Subject Terms: VDP::Teknologi: 500::Elektrotekniske fag: 540::Elkraft: 542, VDP::Teknologi: 500::Elektrotekniske fag: 540::Andre elektrotekniske fag: 549, VDP::Technology: 500::Electrotechnical disciplines: 540::Electrical power engineering: 542, VDP::Technology: 500::Electrotechnical disciplines: 540::Other electrotechnical disciplines: 549, 7. Clean energy

Access URL: https://hdl.handle.net/10037/31869

Real-time application of grid-forming converters in smart distribution network

Authors: Leirvang, Jon-Kristian

Subject Terms: VDP::Technology: 500::Electrotechnical disciplines: 540::Electrical power engineering: 542, VDP::Teknologi: 500::Elektrotekniske fag: 540::Elkraft: 542, ELE-3900

Relation: https://hdl.handle.net/10037/34187

Availability: https://hdl.handle.net/10037/34187

Modeling and analysis of power system oscillations using real-time simulator.

Authors: Sandberg, Andreas

Subject Terms: VDP::Teknologi: 500::Elektrotekniske fag: 540::Elkraft: 542, VDP::Technology: 500::Electrotechnical disciplines: 540::Electrical power engineering: 542, ELE-3900

Relation: https://hdl.handle.net/10037/25773

Availability: https://hdl.handle.net/10037/25773

Underwater Inductive Power Transfer with Wireless Charging Applications

Authors: Monari, Lydiah Mitchelle

Subject Terms: VDP::Technology: 500::Electrotechnical disciplines: 540::Electronics: 541, VDP::Teknologi: 500::Elektrotekniske fag: 540::Elektronikk: 541, VDP::Technology: 500::Electrotechnical disciplines: 540::Electrical power engineering: 542, VDP::Teknologi: 500::Elektrotekniske fag: 540::Elkraft: 542, ELE-3900

Relation: https://hdl.handle.net/10037/25778

Availability: https://hdl.handle.net/10037/25778

Temporary Load Shedding - Optimization of power distribution system using load shedding Techniques

Authors: Basit, Abdul

Subject Terms: Power Systems, VDP::Technology: 500::Electrotechnical disciplines: 540::Electrical power engineering: 542, Distribution System, Energy Management, Smart Metering, ELE-3900

Relation: https://hdl.handle.net/10037/25769

Availability: https://hdl.handle.net/10037/25769

Data-driven Arctic wind energy analysis by statistical and machine learning approaches

Authors: Chen, Hao

Subject Terms: VDP::Mathematics and natural science: 400::Information and communication science: 420::Mathematical modeling and numerical methods: 427, VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Matematisk modellering og numeriske metoder: 427, VDP::Mathematics and natural science: 400::Information and communication science: 420::Simulation, visualization, signal processing, image processing: 429, VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Simulering, visualisering, signalbehandling, bildeanalyse: 429, VDP::Technology: 500::Electrotechnical disciplines: 540::Electrical power engineering: 542, VDP::Teknologi: 500::Elektrotekniske fag: 540::Elkraft: 542

Relation: Paper I A: Chen, H., Birkelund, Y., Anfinsen, S.N., Staupe-Delgado, R. & Yuan, F. (2021). Assessing probabilistic modeling for wind speed from numerical weather prediction model and observation in the Arctic. Scientific Reports, 11 , 7613. Also available in Munin at https://hdl.handle.net/10037/21754 . Paper I B: Chen, H., Anfinsen, S.N., Birkelund, Y. & Yuan, F. (2021). Probability distributions for wind speed volatility characteristics: A case study of Northern Norway. Energy Reports, 7 , 248-255. Also available in Munin at https://hdl.handle.net/10037/23177 . Paper II: Chen, H. (2022). Cluster-based ensemble learning for wind power modeling from meteorological wind data. Renewable and Sustainable Energy Reviews, 167 , 112652. Also available in Munin at https://hdl.handle.net/10037/26461 . Paper III A: Chen, H., Birkelund, Y., Anfinsen, S.N. & Yuan, F. (2021). Comparative study of data-driven short-term wind power forecasting approaches for the Norwegian Arctic region. Journal of Renewable and Sustainable Energy, 13 (2), 023314. Also available in Munin at https://hdl.handle.net/10037/24533 . Paper III B: Chen, H., Birkelund, Y. & Yuan, F. (2021). Examination of turbulence impacts on ultra-short-term wind power and speed forecasts with machine learning. Energy Reports, 7 (Suppl. 6), 332-338. Also available in Munin at https://hdl.handle.net/10037/23188 . Paper IV: Chen, H., Birkelund, Y. & Qixia, Z. (2021). Data-augmented sequential deep learning for wind power forecasting. Energy Conversion and Management, 248 , 114790. Also available in Munin at https://hdl.handle.net/10037/23515 . Paper V: Chen, H. & Birkelund, Y. Knowledge distillation with error-correcting transfer learning for wind power prediction. (Manuscript). Also available in Researchgate at http://dx.doi.org/10.13140/RG.2.2.12410.57286 .; https://hdl.handle.net/10037/26938

Availability: https://hdl.handle.net/10037/26938

Feasibility Study of Hydrogen Production from Wind Energy in Narvik

Authors: Odongo, Christopher

Subject Terms: Green Hydrogen Production, WRA, AEP, Wind Electrolysis, WindSim, Windographer, CFD simulation, Electrolysers, VDP::Technology: 500::Electrotechnical disciplines: 540::Electrical power engineering: 542, VDP::Teknologi: 500::Elektrotekniske fag: 540::Elkraft: 542, INE-3900

Relation: https://hdl.handle.net/10037/23360

Availability: https://hdl.handle.net/10037/23360