DocumentCode :
2687577
Title :
Central control system based on genetic algorithms to improve power quality
Author :
Klempka, Ryszard ; Tondos, Maciej
Author_Institution :
Univ. of Sci. & Technol., Cracow
fYear :
2007
fDate :
9-11 Oct. 2007
Firstpage :
1
Lastpage :
5
Abstract :
In the distributed systems there are various distributed consumers who negatively influence the power quality indices (parameters), many disturbance-sensitive loads and also various distributed controlled devices are intended for improving power quality. The main objective of the paper is to present a central control system which, on the basis of the set of input signals (mainly voltages and currents measured at selected points of a power system), will generate reference signals for individual controlled, distributed devices to be used for the supply improvement. The authors take on the task of analysis of an example power system and design a power quality improvement system, optimized by means of genetic algorithms.
Keywords :
distributed power generation; genetic algorithms; power supply quality; central control system; distributed devices; distributed systems; disturbance-sensitive loads; genetic algorithms; power quality parameters; power system quality; Algorithm design and analysis; Centralized control; Control systems; Current measurement; Distributed control; Genetic algorithms; Power quality; Power system analysis computing; Power system measurements; Voltage control; central control system; genetic algorithms; power quality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Power Quality and Utilisation, 2007. EPQU 2007. 9th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-84-690-9441-9
Electronic_ISBN :
978-84-690-9441-9
Type :
conf
DOI :
10.1109/EPQU.2007.4424244
Filename :
4424244
Link To Document :
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