M
Matti Lehtonen
Researcher at Aalto University
Publications - 770
Citations - 12827
Matti Lehtonen is an academic researcher from Aalto University. The author has contributed to research in topics: Fault (power engineering) & Computer science. The author has an hindex of 40, co-authored 694 publications receiving 8559 citations. Previous affiliations of Matti Lehtonen include Razi University & New York University.
Papers
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Dynamic thermal modelling of power transformers
TL;DR: In this article, the authors introduce hot-spot and top-oil temperature thermal models for more accurate temperature calculations during transient states based on data received in a normal heat run test (i.e., the top oil in the tank of the transformer and the average winding-to-average oil gradient).
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A Distributed Algorithm for Managing Residential Demand Response in Smart Grids
TL;DR: A system-wide demand response management model to coordinate demand response provided by residential customers and flatten the total load profile that is subject to minimum individual cost of customers is presented.
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Value of Distribution Network Reconfiguration in Presence of Renewable Energy Resources
TL;DR: In this paper, a mathematical model is devised to minimize daily network losses via applying hourly reconfigurations, which is a mixed integer second-order cone programming problem and is solved via MOSEK solver.
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Voltage sag distributions caused by power system faults
Pirjo Heine,Matti Lehtonen +1 more
TL;DR: In this paper, the authors established voltage sag distributions caused by faults at different voltage levels and experienced by low-voltage customers for four different power system areas, and the shares of different fault types at each voltage level and the sag propagation throughout the power system were taken into account.
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Home load management in a residential energy hub
TL;DR: In this paper, the authors presented a residential energy hub model for a smart home, where a residential combined heat and power (CHP) as a cogeneration technology, and a plug-in hybrid electric vehicle are employed in the model.