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
More filters
Proceedings ArticleDOI
Online partial discharge diagnostics in medium voltage branched cable networks
TL;DR: In this article, an online technique of partial discharge (PD) detection and localization in medium voltage (MV) cables connected in branched network configurations, is presented by using the conventional methods.
Proceedings ArticleDOI
Earth faults and related disturbances in distribution networks
TL;DR: In this article, the characteristics of the earth faults and related disturbances, recorded in medium voltage overhead distribution networks during the years 1998-1999, were analyzed, and the use of subharmonic oscillation and harmonic distortion was investigated, as a means of anticipating of faults.
Journal ArticleDOI
Distributed load management scheme to increase PV hosting capacity in LV feeders
TL;DR: A model to manage the operation cycles of the domestic electric water heater and heating, ventilation, and air conditioning loads in order to avoid the voltage rise, thereby increasing PV hosting capacity in LV feeders is presented in this study.
Proceedings ArticleDOI
Measured faults during lightning storms
TL;DR: In this paper, six identified lightning storms were the main interest and it was observed that during lightning storms coincident faults and fault types that developed into another fault type before the opening of the circuit breaker occurred repeatedly.
Journal ArticleDOI
Voltage-dependent load model-based short-term distribution network planning considering carbon tax surplus
Ozy D. Melgar-Dominguez,Mahdi Pourakbari-Kasmaei,Matti Lehtonen,Jose Roberto Sanches Mantovani +3 more
TL;DR: Numerical results confirm the robustness and applicability of the presented approach as an appropriate way of promoting to an efficient and low carbon tax surplus network.