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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Journal ArticleDOI
MAS-Based Modeling of Active Distribution Network: The Simulation of Emerging Behaviors
Merkebu Z. Degefa,Antti Alahäivälä,Olli Kilkki,Muhammad Humayun,Ilkka Seilonen,Valeriy Vyatkin,Matti Lehtonen +6 more
TL;DR: A multi-agent system-based modeling of an active distribution network is presented using cooperative agents and a method to solve a network-wise objective of state estimation is explained with the proposed model.
Proceedings ArticleDOI
Verification of DWT-Based Detection of High Impedance Faults in MV Networks
TL;DR: In this article, the authors used the Discrete Wavelet Transform (DWT) detail coefficients of residual voltages to detect the presence of leaning trees in Nordic distribution networks, but the fault cases are not associated with arcs and the transients are only generated at the starting fault instant without repetition.
Journal ArticleDOI
Criticality Analysis of Failure to Communicate in Automated Fault-Management Schemes
TL;DR: In this article, the reliability impact of failure to communicate in the automated fault management schemes (AFMSs) is quantitatively evaluated in a highly loaded urban distribution network equipped with AFMS.
Proceedings ArticleDOI
Experimental Investigations on Multi-end Fault Location System based on Current Traveling Waves
TL;DR: In this paper, the minimum travel time of the traveling wave has been calculated considering Dijkstra algorithm to select the nearest TWR to the faulted line, where the wavelet transform is used to find the highest spectral energy of the frequency band of traveling wave signals.
Proceedings ArticleDOI
A framework for activating residential HVAC demand response for wind generation balancing
Mubbashir Ali,Muhammad Humayun,Merkebu Z. Degefa,Antti Alahäivälä,Matti Lehtonen,Amir Safdarian +5 more
TL;DR: In this article, a centralized framework focusing on realization of domestic heating, ventilation, and air conditioning (HVAC) demand response capability for wind power balancing is developed, where thermal comfort penalty is explicitly integrated in the objective function in order to oblige different customers' thermal preferences.