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
Communication
Phone: 385 (0)51332844
Fax: 385 (0)51515403
E-mail: jurajs@rijeka.riteh.hr
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. Other information about the project.