Department of Electrical Engineering and Automation

Power systems and High Voltage Engineering

The focus areas of research in power systems and high voltage engineering are distribution networks, their system solutions and reliability engineering, power system components´ load capacity and ageing, control and monitoring systems including computer applications, automation and communication solutions, end use analysis and power quality.

The strategic focus areas of teaching and research are:

Loading, aging, diagnostics and condition monitoring of components such as lines, transformers, switchgear, generators.
New methods for power system fault indication and location, especially utilization of fast phenomena like traveling waves, transients and partial discharges.
Power system technology, reliability engineering, optimal planning.
ICT-applications in power systems. Automation systems, measurements, communication, Smart Grids.
Energy efficiency, electric vehicle charging systems, integration of distributed energy resources.

Research is performed in close collaboration with the electrical industry, utilities and authorities.

The group is led by Professor Matti Lehtonen.

Group members

A risk-based optimal self-scheduling of smart energy hub in the day-ahead and regulation markets

Arsalan Najafi, Ahmad Tavakoli, Mahdi Pourakbari-Kasmaei, Matti Lehtonen 2021 Journal of Cleaner Production

Link quality prediction in wireless community networks using deep recurrent neural networks

Mohamed Abdel-Nasser, Karar Mahmoud, Osama A. Omer, Matti Lehtonen, Domenec Puig 2020 Alexandria Engineering Journal

Reliable Solar Irradiance Forecasting Approach Based on Choquet Integral and Deep LSTMs

Mohamed Abdel-Nasser, Karar Mahmoud, Matti Lehtonen 2020 IEEE Transactions on Industrial Informatics

Optimal Allocation of Inverter-Based WTGS Complying with their DSTATCOM Functionality and PEV Requirements

Abdelfatah Ali, Karar Mahmoud, David Raisz, Matti Lehtonen 2020 IEEE Transactions on Vehicular Technology

Optimal Placement and Sizing of Uncertain PVs Considering Stochastic Nature of PEVs

Abdelfatah Ali, David Raisz, Karar Mahmoud, Matti Lehtonen 2020 IEEE Transactions on Sustainable Energy

Probabilistic Approach for Hosting High PV Penetration in Distribution Systems via Optimal Oversized Inverter With Watt-Var Functions

Abdelfatah Ali, Karar Mahmoud, David Raisz, Matti Lehtonen 2020 IEEE Systems Journal

Research database

Published: 7.6.2018
Updated: 14.3.2020

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Power systems and High Voltage Engineering

The strategic focus areas of teaching and research are:

Group members

Matti Lehtonen

Robert Millar

Semen Uimonen

Verner Puvi

Mohammad Jooshaki

Arslan Bashir

Mahdi Pourakbari Kasmaei

Sajjad Fattaheian Dehkordi

Mehdi Tavakkoli

Karar Mahmoud Badawy Mostafa

Latest publications

A risk-based optimal self-scheduling of smart energy hub in the day-ahead and regulation markets

Link quality prediction in wireless community networks using deep recurrent neural networks

Reliable Solar Irradiance Forecasting Approach Based on Choquet Integral and Deep LSTMs

Optimal Allocation of Inverter-Based WTGS Complying with their DSTATCOM Functionality and PEV Requirements

Optimal Placement and Sizing of Uncertain PVs Considering Stochastic Nature of PEVs

Probabilistic Approach for Hosting High PV Penetration in Distribution Systems via Optimal Oversized Inverter With Watt-Var Functions

A Novel Cooperative Fuzzy Classifier for Predicting the Permissible Wind Speed Range in Wind Farms

A novel electrical net-load forecasting model based on deep neural networks and wavelet transform integration

An approach on lifetime estimation of distribution transformers based on degree of polymerization

Optimal Voltage Control Strategy for Voltage Regulators in Active Unbalanced Distribution Systems Using Multi-Agents