DocumentCode :
3589119
Title :
Fuzzy logic approach to curtail number of controllers for voltage control in grid connected wind farms
Author :
Shareeq, M. T. Mohammed ; Moger, Tukaram ; Dhadbanjan, Thukaram
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Sci., Bangalore, India
fYear :
2014
Firstpage :
1
Lastpage :
6
Abstract :
In the past few years, the penetration of wind energy to the grid has been drastically increased. However, the variable nature of wind speed has an impact on power quality. Therefore, the voltage and reactive power control are necessary in a grid connected wind farms due to stochastic nature of wind speed. The wind connected system may consist of large number of voltage controllers i.e. on-load tap changing transformer (OLTC), generator voltage and switchable var compensator (SVC). As per an operator´s point of view, it is difficult to move so many controllers in a short period of time. Hence, it is important to optimize not only the reactive power dispatch for voltage control also the total number of controllers to reduce the complexity of the problem. A technique using fuzzy logic inference system is used to curtail the number of controllers in wind connected power system is presented. In this approach load bus voltage deviations are minimized by changing the controllers according to their sensitivity. 20-bus radial wind system and 163-bus equivalent of Indian southern grid wind system are considered for illustration. The results are compared with linear programming optimization technique and encouraging conclusions are drawn.
Keywords :
fuzzy control; linear programming; power generation control; voltage control; wind power plants; Indian southern grid wind system; controller curtail number; curtail number; fuzzy logic approach; grid connected wind farms; linear programming optimization technique; load bus voltage deviations; voltage control; wind connected system; Generators; Reactive power; Sensitivity; Static VAr compensators; Voltage control; Wind farms; Wind power generation; fuzzy logic controller; renewable energy; voltage control; wind power system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Systems Conference (NPSC), 2014 Eighteenth National
Type :
conf
DOI :
10.1109/NPSC.2014.7103843
Filename :
7103843
Link To Document :
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