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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.

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Journal ArticleDOI

A Stochastic Framework for Optimal Island Formation During Two-Phase Natural Disasters

TL;DR: In this article, a three-stage stochastic framework for dealing with predictable two-phase natural disasters in distribution systems is proposed, in which the amount of curtailed energy, the number of switching actions, and the vulnerability of operational components are selected as the main criteria for decision-making process.
Proceedings ArticleDOI

Multi-agent system based distributed voltage control in medium voltage distribution systems

TL;DR: In this article, a multi-agent system (MAS) based, two-stage algorithm is proposed that removes the inadmissible voltages on the nodes of distribution system, in distributed manner.

An intelligent fuzzy expert system for realization of adaptive autonomy concept in utility management automation

TL;DR: F fuzzy sets concept is used to realize the adaptive autonomy fuzzy expert system (AAFES), which determines the Level of Automation (LOA), adapting it to the changing Performance Shaping Factors (PSF) of automation system.
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Transmission-constrained optimal allocation of price-maker wind-storage units in electricity markets

TL;DR: In this article , the authors proposed an optimal allocation of a wind-storage unit (WSU) to minimize the operation cost of the system and transmission lines congestion problem, where the main problem was provided as a tri-level optimization problem in which the first level is the WSU profit maximization, the second level was the power system operation cost minimization from the perspective of the independent system operator (ISO), and the third level was maximization of the robustness of system by using an appropriate transmission switching interval robust based chance constrained (TSIRC) method.
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Modeling of flashover arcs in medium voltage networks due to direct lightning strikes

TL;DR: In this paper, the influence of considering the dynamic arc model and the actual volt-time characteristics of line insulators in the evaluation of lightning overvoltages was investigated for the protection studies of distribution networks.