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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.

Papers
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Simplified probabilistic selectivity technique for earth fault detection in unearthed MV networks

TL;DR: In this paper, a novel selectivity technique to identify the faulty feeder in unearthed medium voltage (MV) networks is introduced. The proposed technique is based on a simplified probabilistic method applied to transient features extracted from the residual currents only using the discrete wavelet transform (DWT).
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Distributed Transactive Framework for Congestion Management of Multiple-Microgrid Distribution Systems

TL;DR: A transactive-based energy management framework to operate multiple-microgrid (multiple-MG) distribution systems is proposed in this paper , where each MG takes into account stochastic programming and the conditional value-at-risk index to handle the uncertainty of its operational scheduling.

Energy efficiency analysis of residential electric end uses: based on statistical survey and hourly metered data

Abstract: By the end of 2013 at the latest almost all electric consumption will be measured hourly in Finland. Beyond billing facilitation and troubleshooting, AMR provided great deal of opportunity for energy efficiency analysis. This study evaluates efficiencies and saving potential factors of household electricity end-use consumption by analyzing data from AMR meters and questionnaire collected statistical data. The interdependency of household appliances in factoring the gross household CO2 emission will be given much attention to achieve holistic approach. The study analyzes the extent of utilization of AMR in improving efficiencies of household consumptions.
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Aspects of Arc-Flash Protection and Prediction

TL;DR: In this paper, a review of arc-flash protection of air insulated switchgear is provided, covering the whole range starting from switchgear design aspects until ultra-fast arc elimination, with special attention paid to proactive technologies enabling preemptive detection of slowly developing faults.
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Incorporating the effects of service quality regulation in decision-making framework of distribution companies

TL;DR: A two-layer optimization model is introduced, where in the outer layer, an iterative algorithm is applied to determine the optimal set of long-term projects including Distributed Generations (DGs) installation and results show the strong influence of incentive regulation on reliability indices.