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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Hybrid stochastic/robust scheduling of the grid-connected microgrid based on the linear coordinated power management strategy
TL;DR: A hybrid stochastic/robust coordinated power management strategy (CPMS) to simultaneously improve the flexibility, reliability and security indices of MG in the presence of electric vehicles (EVs), energy storage system (ESS), distributed generation (DG) and demand response programming (DRP).
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An Analysis of Photo-Voltaic Hosting Capacity in Finnish Low Voltage Distribution Networks
TL;DR: In this article, the authors investigated the technical factors that limit the photo-voltaic (PV) hosting capacity, in realistic case networks, designed relative to different geographical areas of Finland.
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Maximizing Hosting Capacity of Uncertain Photovoltaics by Coordinated Management of OLTC, VAr Sources and Stochastic EVs
TL;DR: A novel stochastic approach based on a coordinated management scheme of control devices in distribution systems that can maximize the hosting capacity of photovoltaics while optimally managing transformers, VAr sources, and electric vehicles in a coordinated manner.
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Optimal Placement and Sizing of Uncertain PVs Considering Stochastic Nature of PEVs
TL;DR: An optimization-based algorithm is proposed to accurately determine the optimal locations and capacities of multiple PV units in the presence of PEVs to minimize energy losses while considering various system constraints.
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A risk-based optimal self-scheduling of smart energy hub in the day-ahead and regulation markets
TL;DR: A stochastic-based decision-making framework for the efficient short-term management of smart energy hub (EH) in restructured power systems with high penetration of renewable energy is proposed.