ABSTRACT:
Many controllers based fuzzy logic have been
applied on electric power system. Frequently, time response of the fuzzy
controllers is slowly, because the number of membership functions are too many.
Many research are proposed to minimize the number of membership function, such
as fuzzy polar controller method. By using this method, number of membership
function can be minimized, so the time response of the controller become
faster. This paper presents the Dynamic Voltage Restorer (DVR) based Fuzzy
Polar Controller Method to compensate balanced voltage sag. Simulation results
show that this proposed method can compensate balanced voltage sag better than
PI controller.
BLOCK DIAGRAM:
EXPECTED SIMULATION RESULTS:
Fig. 2. 50% of voltage sags at
bus A
Fig. 3. 50% sags correction using DVR based PI
Controller
Fig. 4. 50% sags correction using DVR based
fuzzy
polar
controller
CONCLUSION:
DVR
based PI Controller can maintain 50% voltage sags at 110 % and 30% voltage sags
at 98%. DVR based Fuzzy Polar Controller can maintain 50% voltage sags at 100 %
and 30% voltage sags at 97%. According to the error average of all simulations,
are shown that the performance of DVR based Fuzzy Polar Controller better than
DVR based PI Controller. Further study for unbalance correction is being worked
to prove the effectiveness of the proposed controller.
REFERENCES:
[1]
Francisco Jurado ”Neural Network Control For Dynamic Voltage Restore” IEEE
Transaction on Industrial Electronic. Vol 51,No.3, June 2004
[2]
Margo Pujiantara, M Herry P, M Ashari, Imanda “Dynamic Voltage Restorer
Using Y connected Boost Transformer Controlled by Backpropagation Neural Network”
SMELDA, Malang 2005
[3]
Fransisco Jurado, manuel Valverde :Voltage Correction By Dynamic Voltage
Restorer Based on Fuzzy Logic Controller”: IEEE Transaction on Indutrial
Electronics, may 2003.
[4]
Thomas H. Ortmeyer and T. Hiyama, “Frequency Response Characteristics of The
Fuzzy Polar Power System Stabilizer”, IEEE Transactions on Energy Conversion,
Vol. 10, No.2, June 1995.
[5]
S.S Min, K.C. Lee, J.W. Song and K.B. Cho, “A fuzzy current controller for
field-oriented controlled induction machine by fuzzy rule”, in Proc. IEEE PESC,
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