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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Proceedings ArticleDOI
Switch and reserve connection placement in a distribution network planning algorithm
TL;DR: The main aim is to accurately enough imbed outage mitigation in the planning algorithm so that the lines are in the right place, and the methodology involves placing backup connections assuming full default switch placement, and then upgrading and or removing switches so as to maximize their cost benefit.
Journal ArticleDOI
Virtual Impedances Optimization to Enhance Microgrid Small-Signal Stability and Reactive Power Sharing
Bahram Pournazarian,S. Sajjad Seyedalipour,Matti Lehtonen,Shamsodin Taheri,Edris Pouresmaeil +4 more
TL;DR: An optimization algorithm based on particle swarm optimization (PSO) is proposed to design the virtual impedances and the results drawn from two separate case-studies verify that the proposed algorithm effectively maximizes the microgrid stability index and minimizes the reactive power mismatches.
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A Framework for Implementation of Adaptive Autonomy for Intelligent Electronic Devices
Proceedings ArticleDOI
Optimal use of demand response for lifesaving and efficient capacity utilization of power transformers during contingencies
TL;DR: In this paper, a demand response (DR) and dynamic thermal rating (DTR) based optimization model was proposed for efficient capacity utilization and life management of transformers during contingencies.
Journal ArticleDOI
Multi-step island formation and repair dispatch reinforced by mutual assistance after natural disasters
TL;DR: A novel formulation in the form of mixed integer linear programming (MILP) is developed for mutual aid management problem and its effectiveness in terms of improvement in maximizing supplied energy and adaptability to new situations is demonstrated through realistic case studies.