About the Digital Electrical Power Systems group
Research areas
Our power system is undergoing an enormous transition. We have increasing energy consumption, at the same time as the environment needs to have our attention to achieve the climate goals. The power sector must be decarbonized through electrification. This means replacing the consumption of fossil energy with electric energy from renewable sources. On the supply side, this means an increased share of unregulated electricity production such as wind and solar power. On the demand side, we get a new consumption pattern, partly due to high intensity charging of electric vehicles. This leads to a more complex power grid, and in our research group, we investigate new methods for optimal operation.
Demand side flexibility
To meet the challenges of changing supply and consumption patterns, we can use flexible power from consumers. We are developing data-driven methods to predict this demand side flexibility, while also looking at new business models for the future flexibility market. We are also working on machine learning models to predict power production and consumption patterns.
Prognostics and Health Management (PHM) of Renewable Energy Systems
We focus on component and system-level PHM of renewable energy systems such as wind turbines, electric vehicle batteries, power electronics and power systems. Our research is based on both model-based and data-driven approaches. The goal is to monitor the health status of critical components, fault diagnostics & remaining useful life (RUL) and suggest necessary actions to minimize system downtime, environmental impact, and financial cost.
Join us in advancing the reliability and sustainability of renewable energy technologies!
Publications
Onsaker, Thorbjørn Lund; Nygård, Heidi S.; Gomila, Damiá; Colet, Pere; Mikut, Ralf; Jumar, Richard; Maass, Heiko; Kühnapfel, Uwe; Hagenmeyer, Veit; Schäfer, Benjamin. Predicting the power grid frequency of European Islands Journal of Physics: Complexity 4.1, 2023, 015012. Mahmoud, Mahmoud S.; Khang, Huynh V.; Senanayaka, Jagath S. L.; Robbersmyr, Kjell G. ; Panadero, Ruben A two-stage Fault Diagnosis Scheme of Partial Demagnetization Faults in PMSMs with Low Labelled Rates 2023 IEEE International Electric Machines & Drives Conference (IEMDC), San Francisco, CA, USA, 2023, pp. 1–7 Attestog, Sveinung; Senanayaka, Jagath S. L.; Khang, Huynh V.; Robbersmyr G., Kjell Robust Active Learning Multiple Fault Diagnosis of PMSM Drives With Sensorless Control Under Dynamic Operations and Imbalanced Datasets IEEE Transactions on Industrial Informatics 2023, 19 (9), 9291–9301 Nygård, Heidi S.; Mørch, Ingrid Maria; Bergland, Olvar Smart charging of electric vehicles based on scheduling theory 27th International Conference on Electricity Distribution (CIRED 2023), pp.3889-3893. Martinsen, Thomas; Devik, Georg; Nygård, Heidi S. Load scheduling and V2G to minimize power demand-exploring potential for airport parking facility, Norway 27th International Conference on Electricity Distribution (CIRED 2023), pp.3324-3327. Ollé, Plana P.; Farrukh, Farhan; Thoma, Malte; Miltzer, Gesa, Nygård, Heidi S. Business case of DSO peak shaving to reduce capacity payments to upstream network operators, 27th International Conference on Electricity Distribution (CIRED 2023), pp. 1754-1758. Ollé, Plana P.; Farrukh, Farhan; Mazza, Andrea; Nygård, Heidi S. Business, regulatory, and technical challenges for integration of network aware algorithms in local flexibility markets, 27th International Conference on Electricity Distribution (CIRED 2023), pp. 1661-1665. Farrukh, Farhan; Dunks, Ciara; Dypvik, Per Olav, Nygård, Heidi S. Investment planning for electrification of transport in an industrial port 27th International Conference on Electricity Distribution (CIRED 2023), pp. 1675-1679. Redhu, Surender; Raja, Rameez; Bremdal, Bernt A.; Nygård, Heidi S. Cognitive data fusion for improving flexibility in smart homes 27th International Conference on Electricity Distribution (CIRED 2023), pp. 2848-2852. Mahmoud, Mahmoud S.; Khang, Huynh V.; Senanayaka, Jagath S. L.; Panadero, Ruben Fault Diagnosis of Low-severity Demagnetization in Permanent Magnet Synchronous Motors Using Numerical Data 2022 25th International Conference on Electrical Machines and Systems (ICEMS), Chiang Mai, Thailand, pp. 1–6 Senanayaka, Jagath S. L.; Khang, Huynh V.; Rassõlkin, Anton; Vaimann, Toomas; Zakis, Jānis; Pomarnacki, Raimondas Fault-Tolerant Control of a Grid-connected Bipolar DC Microgrid with High Penetration of Intermittent Renewable Energy IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society, Brussels, Belgium, 2022, pp. 1–6 Attestog, Sveinung; Senanayaka, Jagath S. L.; Khang, Huynh V.; Robbersmyr G., Kjell Mixed Fault Classification of Sensorless PMSM Drive in Dynamic Operations Based on External Stray Flux Sensors Sensors 2022, 22(3), 1216 Grøtan, A; Martinsen, T; Tveitane, R. G.; Nygård, H. S. The potential for load shifting with flexible EV charging at Oslo airport Gardermoen CIRED Porto Workshop 2022: E-mobility and power distribution systems, 2022 p. 975-979. Ottesen, Stig Ø.; Haug, Martin; Nygård, Heidi S. A Framework for Offering Short-
Term Demand-Side Flexibility to a Flexibility MarketplaceEnergies 2020, 13 (14), 3612. Master theses
Group members