DocumentCode
164369
Title
Reactive Power/Voltage control for unbalanced distribution system using genetic algorithms
Author
Ulinuha, Agus ; Masoum, Mohammad A. S. ; Islam, S.M.
Author_Institution
Dept. of Electr. Eng., Univ. Muhammadiyah Surakarta, Surakarta, Indonesia
fYear
2014
fDate
Sept. 28 2014-Oct. 1 2014
Firstpage
1
Lastpage
7
Abstract
The unbalanced conditions are taken into account in the Reactive Power/Voltage control of distribution system. The aim of the control is to simultaneously minimize energy loss and improve voltage profile. The control is carried out by optimal dispatch of load tap changers (LTC) and shunt capacitors considering unbalanced conditions. A genetic algorithm (GA) is developed to determine the load curve partition for effective LTC scheduling and switching constraint satisfaction. GA is also appointed to determine the optimal dispatch schedule of the devices and to check the fulfillment of switching constraints prior to performing calculations. For power flow analyses under unbalanced conditions, a forward/backward propagation algorithm is developed. The optimization is implemented on the IEEE 34-bus unbalanced distribution system, and the presented system improvements are highlighted. The main contribution is inclusion of unbalanced system conditions into the optimal dispatch problem considering different daily load curves for the three phases of distribution system.
Keywords
genetic algorithms; load dispatching; load flow; on load tap changers; optimal control; power capacitors; power distribution control; reactive power control; voltage control; GA; IEEE 34-bus unbalanced distribution system; LTC scheduling; daily load curve; energy loss minimization; forward-backward algorithm; genetic algorithm; load curve partition; load tap changer; optimal dispatch problem; power flow analyses; reactive power-voltage control; shunt capacitor; switching constraint satisfaction; Biological cells; Capacitors; Educational institutions; Optimization; Schedules; Switches; Voltage control; Forward/Backward; Genetic Algorithm; optimal dispatch; reactive power /voltage control; unbalanced;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering Conference (AUPEC), 2014 Australasian Universities
Conference_Location
Perth, WA
Type
conf
DOI
10.1109/AUPEC.2014.6966576
Filename
6966576
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