Department of Electrical Power Engineering | Faculty of Electrical and Control Engineering at the Gdańsk University of Technology

The Department of Electric Power Engineering consist of three research teams: Power Plants and Energy Economy (Paweł Bućko, DSc), Electrical Power Equipment (Stanisław Czapp, DSc) and Electric Power Systems (Jacek Klucznik, DSc).

The Power Plants and Energy Economy Research Team works in the field of planning the development of peak power sources and regulatory-intervention power sources in the power system. The Team optimizes the development of integrated energy systems with the participation of modern energy sources, including renewable energy sources. Principles of economic operation of thermal, water, wind power plants and municipal and industrial CHP plants are developed, taking into account environmental requirements. Research in the field of methods of assessing the effectiveness of investing in the energy sector is also being developed.

The Power Equipment Research Team works on electric shock protection in low and high voltage networks and installations. The Team carries out the research on the load capacity of power cables. Methods of assessing the effectiveness of electric shock protection in grids with increasing saturation with non-linear receivers and energy sources connected to the grid through power electronic converters are being developed. New designs of residual current devices and measurement methods applicable to the control of the condition of electric shock protection are being developed. Analysis and tests are being performed to increase the long-term current carrying capacity of power cables.

The Power Systems Research Team works on the analysis of the operating states of the power system, taking into account regulatory processes, analysis of transient states of the power system and automation and control in the power industry. Improved models, methods and algorithms for controlling automation systems and computer programs are being developed. The theoretical apparatus is being modernized (neural networks, fuzzy sets, genetic algorithms).