SVIBOR - Project code: 2-05-014


Strossmayerov trg 4, HR - 10000 ZAGREB
tel.: +385 1 459 44 44, fax: +385 1 459 44 69


SVIBOR - Collecting Data on Projects in Croatia

Project code: 2-05-014

Modelling of power system process data

Main researcher: ŠIMUNIĆ, JURAJ (157530)

Type of research: developmental
Duration from: 01/01/91. to 12/15/95.

Papers on project (total): 20
Papers on project quoted in Current Contents: 6
Institution name: Tehnički fakultet, Rijeka (69)
Department/Institute: Department of electrical engineering
Address: Vukovarska 58
City: 51000 - Rijeka, Croatia
Phone: 385 (0)51332844
Fax: 385 (0)51515403

Summary: The main goal of our project is the investigation of process data in the modern power control systems. We deal with process data dynamics and its stochastic nature by means of statistical methodology. Within the research project the process data of the real power system (the Croatian National Electricity) was extensively studied, both in normal and not normal i.e. disturbed states. Based on the obtained research results the stochastic parameters of process data were established and software support for data analyses was developed. The theoretical model of process parameters representing power plants or/and entire system was developed, as well. Parameters were defined by points in three dimensional vector space according to location, type and name. Process information as random event is correlated with observed changes of system state for one or more parameters in the process. The model was used in software development for modular calculation of the process information flow from the power plants to the centre of power control system.

Keywords: power system, power plant i.e. electrical power substation, power control system,process information, stochastic, stochastic dependence, random events, model, disturbed state

Research goals: Our research of modern power control systems has following goals: -to define dynamical parameters for the process information flow according to location, type and name, -to model all the power plant operations of local automatics and all the procedures of remote control and the control of man-system communication in the power control system centres. Based on the aims above mentioned following results are expected: - the higher level of benefit from very expensive computer equipment installed in power plants and power control system centres, - optimisation of network for the process data transmission, - reduction of the useless information flows appearing in the real time domain of the power system, - stochastic model development for dynamic analyses of the process information flow, - increase of personnel work efficacy in man-system communication within the control centres focusing on not normal i.e. disturbed states of system.

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Last update: 09/27/95