Title :
New solutions in the control of the Hungarian power system
Author_Institution :
DYNAsoft Ltd, Budapest, Hungary
Abstract :
In the frame of a reconstruction project on the Hungarian Power Control System a lot of intelligent control tools are investigated. Some are accepted, others are rejected. Since 1993 the first Dispatcher Training Simulator of the Hungarian Electric Power Industry has been working in the regional dispatcher center of the North Hungarian Electricity Distribution Company (EMASZ KDSZ). The simulator performs discrete, event-driven simulation of the network, the protection and the telemetry system. A new continuous approach to the power system restoration problem is proposed. The continuous restoration means an on-line function that supports all the dispatcher actions. It is active and alerts not only the restorative network state, but also in the normal state. This real time expert system is strongly based on the co-operation with the SCADA-EMS functions and the different off-line network calculations. The idea is proposed to be implemented in the Hungarian National Control Centre. In 1994-95 a common project (`A Neural Network Application to Power System´s Signal Processing´) was performed in the institute KFKI MSZKI. We sought for the appropriate neural network structure, which fits the best the problem of event recognition. The research was extended for a sequential pattern matching algorithm too. On the base of the results we are working on an event recognizer application
Keywords :
SCADA systems; expert systems; load dispatching; load management; neural nets; power system analysis computing; power system control; power system restoration; Dispatcher Training Simulator; EMASZ KDSZ; Hungarian Electric Power Industry; Hungarian National Control Centre; Hungarian power system control; Neural Network Application; North Hungarian Electricity Distribution Company; Power System´s Signal Processing; SCADA-EMS functions; discrete event-driven simulation; event recognition; intelligent control tools; on-line function; power system restoration; protection; sequential pattern matching algorithm; telemetry system; Control systems; Discrete event simulation; Industrial training; Neural networks; Power control; Power system control; Power system restoration; Power system simulation; Power systems; Signal processing algorithms;
Conference_Titel :
AFRICON, 1996., IEEE AFRICON 4th
Conference_Location :
Stellenbosch
Print_ISBN :
0-7803-3019-6
DOI :
10.1109/AFRCON.1996.562998