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
Journal ArticleDOI
Distribution systems resilience enhancement via pre- and post-event actions
TL;DR: This study presents a mathematical model to enhance resilience level of power distribution systems against natural disasters as a three-stage algorithm according to system operators’ actions and the results are discussed in detail.
Journal ArticleDOI
Wind speed modeling using a vector autoregressive process with a time-dependent intercept term
Matti Koivisto,Janne Seppanen,Ilkka Mellin,Jussi Ekström,John Millar,Ivan Mammarella,Mika Komppula,Matti Lehtonen +7 more
TL;DR: In this paper, a vector-Autoregressive-to-anything (VARTA) process with a time-dependent intercept is presented to model wind speeds in multiple locations.
Journal ArticleDOI
Sizing hydrogen energy storage in consideration of demand response in highly renewable generation power systems
TL;DR: In this article, the optimal sizing and control of the hydrogen energy storage system for increased utilization of renewable generation is investigated using a Finnish case study, and sensitivity analyses are conducted to observe the impact of a small share of controllable baseload production as well as the oversizing of renewable power in terms of required hydrogen storage size.
Journal ArticleDOI
Linear Formulations for Topology-Variable-Based Distribution System Reliability Assessment Considering Switching Interruptions
Mohammad Jooshaki,Ali Abbaspour,Mahmud Fotuhi-Firuzabad,Gregorio Munoz-Delgado,Javier Contreras,Matti Lehtonen,Jose M. Arroyo +6 more
TL;DR: Two salient mathematical models are introduced in this paper for topology-variable-based reliability evaluation of both radial and radially-operated meshed distribution networks and the benefits of the proposed formulations in terms of solution quality are empirically evidenced.