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Projects / Programmes source: ARIS

Elektroenergetski sistemi (Slovene)

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Periods
January 1, 1999 - December 31, 2003
Research activity

Code Science Field Subfield
2.03.00  Engineering sciences and technologies  Energy engineering   

Code Science Field
T190  Technological sciences  Electrical engineering 
T140  Technological sciences  Energy research 
T125  Technological sciences  Automation, robotics, control engineering 
Evaluation (rules)
source: COBISS
Evaluation of bibliographic research performance indicators according to ARIS methodology
Citations Citations for bibliographic records in COBIB.SI that are linked to records in citation databases
source: WoS source: Scopus source: COBISS
Researchers (14)
no. Code Name and surname Research area Role Period No. of publications
1.  14326  PhD Tadeja Babnik  Energy engineering  Researcher  2001 - 2003  74 
2.  12556  PhD Jurij Curk  Systems and cybernetics  Researcher  2001 - 2003  78 
3.  19514  PhD Samo Gašperič  Energy engineering  Researcher  2001 - 2003  146 
4.  21357  PhD David Gerbec  Energy engineering  Researcher  2002 - 2003  39 
5.  11213  PhD Robert Golob  Systems and cybernetics  Researcher  2001 - 2003  212 
6.  15676  PhD David Grgič  Energy engineering  Researcher  2001 - 2003  67 
7.  14528  PhD Andrej Ferdo Gubina  Energy engineering  Researcher  2001 - 2003  369 
8.  02545  PhD Ferdinand Gubina  Energy engineering  Head  2001 - 2003  573 
9.  11541  MSc Zvonko Košnjek  Energy engineering  Researcher  2001 - 2003  156 
10.  20226  PhD Dejan Paravan  Energy engineering  Researcher  2001 - 2003  67 
11.  22567  MSc Anton Sirk  Energy engineering  Researcher  2002 - 2003  13 
12.  11999  PhD Boštjan Strmčnik  Energy engineering  Researcher  2001 - 2003  61 
13.  16292  PhD Tomaž Štokelj  Energy engineering  Researcher  2001 - 2002  60 
14.  19235  PhD Gregor Verbič  Energy engineering  Researcher  2001 - 2003  97 
Organisations (1)
no. Code Research organisation City Registration number No. of publications
1.  1538  University of Ljubljana, Faculty of Electrical Engineering  Ljubljana  1626965  27,771 
Abstract
Energy markets within the power industry deregulation pushed operation of electric power systems (EPS) towards the limits, which may result in stability problems an in degradation of electric energy supply quality. Angle as well as voltage stability problems are highly nonlinear phenomena with no elegant solution. Power system control needs adequate methods not only for load management, frequency and voltage regulation but also for improving angle and voltage stability. Improved tools for security margins estimation are needed along with the assessment of adequate measures. The laboratory group focused its research activity on the simple methods of voltage stability assessment, decentralized secondary voltage control and power system security with an original approach. Procedures of fast estimation of a transformer state after a fault are developed. Solution to the mentioned problems is tightly connected to the available active and reactive power reserves, which are difficult to assure at all times for minimum cost. The research group offered new solutions to this problem, especially for mixed hydro- thermal power systems taking into account their local dispersion. Demand side management is one of important points in control of disturbances and cost minimization within the power system states. It relies on load reduction and voltage control at the consumers. The research group pursues an approach to load control via voltage regulation by under load tap changers using neural networks. A wide program of measurements in the distribution network is currently under way. Minimum cost operation of hydro- thermal power systems requires adequate models for fast estimation of bidding strategy in the energy market taking into account the market participants behavior. The group is developing an efficient model of hydro power plant scheduling based on artificial neural networks and combined methods of evolution and classical optimization. The models for power system optimization could be used within the integrated power system planing, which is lacking efficient methods. Stochastic nature of loads and unpredictability of energy market have to be observed in the model. The research group develops the models and algorithms for integrated power system planning under uncertainties.
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