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Wednesday, 19 December 2018

Compensation Of Voltage Sag And Harmonics By Dynamic Voltage Restorer Without Zero Sequence Blocking



 ABSTRACT:
amic Voltage Restorer (DVR) is a power electronic device to protect sensitive loads from voltage sag. Commonly, sensitive loads are electronic-based devices which generate harmonics. This paper presents fuzzy polar based DVR as voltage sag restorer and harmonics compensator without zero sequence blocking. Research presented in this paper uses d-q-0 axis method considering of the value of neutral axis, because the method works very well if the neutral axis value is zero. Result shows that this method can compensate voltage sag with a compensation error of 0.99%. Using this method, DVR may reduce voltage THD from 10.22% to 0.66%.

KEYWORDS:
1.      DVR
2.      Voltage sag
3.      Harmonics

SOFTWARE: MATLAB/SIMULINK

 BLOCK DIAGRAM:



Fig.1 Dynamic voltage restorer

EXPECTED SIMULATION RESULTS:



Fig. 2 Distorted voltages at bus C




Fig. 3 Voltage at bus C after DVR



Fig.4 70% sag at bus C caused by phase-phase-ground fault



Fig.5 70% sag at bus C (caused by phase-phase- ground fault) restored by DVR


 CONCLUSION:

The simulation of a DVR using MATLAB has been presented. Simulation results show that DVR can restore both the voltage sag and voltage harmonics. The efficiency and effectiveness in voltage sag restoration and voltage harmonics compensation showed by the DVR makes it an interesting power quality device compared to other custom power devices. Under normal condition, DVR is able to decrease voltage THD from 10.22 % to 0.66%. And using the proposed method, DVR can restore asymmetrical voltage sag without zero blocking transformer. The average error of DVR voltage sag compensation is 0.99.
REFERENCES:
[1] Hiyama, T., 1994, “Robustness of Fuzzy Logic Power System Stabilizers Applied to Multimachine Power Systems”, IEEE Trans. on Energy Conversion, Vol. 9, No.3, pp.451-45.
[2] Fransisco Jurado, manuel Valverde, May 2003, “Voltage Correction By Dynamic Voltage Restorer Based on Fuzzy Logic Controller”, IEEE Transaction on Industrial Electronics.
[3] Margo P. M. Hery P. M. Ashari, Imanda, 2005, “ Dynamic Voltage Restorer Using Y connected Boost Transformer Controlled by Back propagation Neural Network”, SMELDA, Malang.
[4] Margo P.M. Hery P.M. Ashar,, T. Hiyama, September 2007, “Balanced voltage sag correction using DVR based on Fully polar controller”, ICICIC 2007 Conference Proceedings, Kumamoto Japan.
[5] C. Meyer, R. W. De Doncker, Y. W. Li, and F. Blaabjerg, “Optimized control strategy for a medium-voltage DVR—Theoretical investigations and experimental results”, IEEE Trans. Power Electron., vol. 23, no. 6, pp. 2746–2754, Nov. 2008.

Balanced Voltage Sag Correction Using Dynamic Voltage Restorer Based Fuzzy Polar Controller



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.


 SOFTWARE: MATLAB/SIMULINK

BLOCK DIAGRAM:



 Fig. 1. Block diagram of DVR

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, Toledo, Spain, 1992, pp. 265-270.


Wednesday, 12 December 2018

Convertible Unified Power Quality Conditioner to mitigate voltage and current imperfections



 ABSTRACT

This paper proposes a novel convertible unified power quality conditioner (CUPQC) by employing three voltage source converters (VSCs) which are connected to a multi-bus/multifeeder distribution system to mitigate current and voltage imperfections. The control performance of the VSCs is characterized by a minimum of six circuit open/close switches configurable in a minimum of seventeen combinations to enable the CUPQC to operate as shunt and series active power filters (APFs), unified power quality conditioner (UPQC), interline UPQC (IUPQC), multi-converter UPQC (MC-UPQC) and generalized UPQC (GUPQC). The simulation and compensation performance analysis of CUPQC are based on PSCAD/EMTDC.


SOFTWARE: MATLAB/SIMULINK

 BLOCK DIAGRAM


Fig.1 Schematic representation of proposed CUPQC

EXPECTED SIMULATION RESULTS




Fig.2. Feeder1 (a) Load current (b) Source voltage



Fig.3. Feeder1 (a) Compensation currents (b) Compensation voltages



Fig.4. Feeder1 (a) Source currents (b) Load voltages



Fig.5. Feeder1 THD spectrum (a) Currents (b) Voltages


Fig.6. Feeder3 source voltage



Fig.7. Feeder3 compensation voltage


Fig.8. Feeder3 load voltages

Fig.9. Feeder3 voltage THD before and after compensation


Fig.10. (a) Feeder1source voltage (b) Feeder2 source voltage (c) Feeder3 load
current



Fig.11. (a) Feeder1 compensation voltages (b) Feeder2 compensation
voltages(c) Feeder3 compensation currents


Fig.12. (a) Feeder1 load voltages (b) Feeder2 load voltages (c) Feeder3 source
Currents

Fig.13. THD before and after compensation (a) Feeder1 voltage (b) Feeder2
voltage (c) Feeder3 current


Fig.14. RMS voltage (a) Feeder1 (b) Feeder2

CONCLUSION
In this paper the performance of the proposed CUPQC in three modes of operation as UPQC, MC-UPQC and GUPQC on a multi-bus/multi-feeder distribution system is validated by simulation results. The operating modes of the novel power quality conditioner in 17 different modes for compensation of currents and voltage interruptions are clearly explained. As an extension to this analysis, the authors are working on a model for characterization and testing of the proposed CUPQC.
.
REFERENCES

[1] H. Akagi, and H. Fujita “A new power line conditioner for harmonic compensation in power systems,” IEEE Trans. Power Del., vol. 10, 1995.
[2] P. Mitra, and G. Kumar, “An adaptive control strategy for DSTATCOM applications in an electric ship power system,” IEEE Trans. Power Electro., vol. 25, no. 1, pp. 95 –104, Jan. 2010.
[3] M. J. Newman, D. G. Holmes, J. G. Nielsen, and F. Blaabjerg, “A dynamic voltage restorer (DVR) with selective harmonic compensation at medium voltage level” IEEE Trans. Ind. Appl., vol. 41, no. 6, pp. 1744 – 1753, Nov. 2005.
[4] H. Fujita, and H. Akagi, “The unified power quality conditioner: The integration of series and shunt-active filters,” IEEE Trans. Power Electron., vol. 13, no. 2, pp. 315 – 322, Mar. 1998.
[5] V. Khadkikar, and A. Chandra, “A novel structure for three-phase four wire distribution system utilizing unified power quality conditioner,” IEEE Trans. Ind. Appl., vol. 45, no. 5, pp. 1897 – 1902, Sept./Oct. 2009.

Tuesday, 11 December 2018

Control of a Small Wind Turbine in the High Wind Speed Region



ABSTRACT:
This paper proposes a new soft-stalling control strategy for grid-connected small wind turbines operating in the high and very high wind speed conditions. The proposed method is driven by the the rated current/torque limits of the electrical machine and/or the power converter, instead of the rated power of the connected load, which is the limiting factor in other methods. The developed strategy additionally deals with the problem of system startup preventing the generator from accelerating to an uncontrollable operating point under a high wind speed situation. This is accomplished using only voltage and current sensors, not being required direct measurements of the wind speed nor the generator speed. The proposed method is applied to a small wind turbine system consisting of a permanent magnet synchronous generator and a simple power converter topology. Simulation and experimental results are included to demonstrate the performance of the proposed method. The paper also shows the limitations of using the stator back-emf to estimate the rotor speed in permanent magnet synchronous generators connected to a rectifier, due to significant d-axis current at high load.

SOFTWARE: MATLAB/SIMULINK

 CIRCUIT DIAGRAM:





Fig. 1. Schematic representation of the wind energy generation system: a) Wind turbine, generator and power converter; b) Block diagram of the boost converter control system; c) Block diagram of the H-bridge converter control system.


 EXPECTED SIMULATION RESULTS:



Fig. 2. Simulation result showing the behavior of the proposed method under increasing wind conditions (10 m/s, 17 m/s from 10 s, and 33 m/s from 13s): a) rectifier voltage command (v_ r ), rectifier voltage (vr) and minimum rectifier voltage command (v_ r min); b) boost current (ib), filtered boost current (~i
b), current limit (ilimit) and MPPT current target (imppt); c) turbine torque (Tt) and generator torque (Tg); d) mechanical rotor speed (!rm).




Fig. 3. Simulation result showing the behavior of the proposed method under decreasing wind conditions (30 m/s, 21 m/s from 4.5 s, and 8.5 m/s from 7s): a) rectifier voltage command (v_ r ), rectifier voltage (vr) and minimum rectifier voltage command (v_ r min); b) boost current (ib), filtered boost current (~I b), current limit (ilimit) and MPPT current target (imppt); c) turbine torque (Tt) and generator torque (Tg); d) mechanical rotor speed
(!rm).


Fig. 4. Experimental results showing the behavior of the propose method under increasing wind conditions (10 m/s, 17 m/s from 10 s, and 33 m/s from 13 s): a) rectifier voltage command (v_ r ), rectifier voltage (vr) and minimum rectifier voltage command (vr min); b) boost current (ib), filtered boost current (~I b), current limit (ilimit) and MPPT current target (imppt); c) mechanical rotor speed (!rm).






Fig. 5. Experimental results showing the behavior of the propose method under decreasing wind conditions (30 m/s, 21 m/s from 4.5 s, and 8.5 m/s from 9 s): a) rectifier voltage command (v_ r ), rectifier voltage (vr) and minimum rectifier voltage command (vr min); b) boost current (ib),filtered boost current (~I b), current limit (ilimit) and MPPT current target (imppt); c) mechanical rotor speed (!rm).

CONCLUSION:

The operation of small wind turbines for domestic or small business use is driven by two factors: cost and almost unsupervised operation. Specially important is the turbine operation and protection under high wind speeds, where the turbine torque can exceed the rated torque of the generator. This paper proposes a soft-stall method to decrease the turbine torque if a high wind speed arises and, as a unique feature, the method is able to early detect a high wind condition at startup keeping the turbine/generator running at low rotor speed avoiding successive start and stop cycles. The proposed method uses only voltage and current sensors typically found in small turbines making it an affordable solution. Both simulation and experimental results demonstrate the validity of the proposed concepts. This paper also shows that commonly used machine and rectifier models assuming unity power factor do not provide accurate estimations of the generator speed in loaded conditions, even if the resistive and inductive voltage drop are decoupled, due to the significant circulation of d-axis current if a PMSG is used. This paper proposes using a pre-commissioned look-up table whose inputs are both the rectifier output voltage and the boost current.
 REFERENCES:
[1] W. Kellogg, M. Nehrir, G. Venkataramanan, and V. Gerez, “Generation unit sizing and cost analysis for stand-alone wind, photovoltaic, and hybrid wind/PV systems,” IEEE Transactions on Energy Conversion, vol. 13, no. 1, pp. 70–75, Mar. 1998.
[2] P. Gipe, Wind Power: Renewable Energy for Home, Farm, and Business, 2nd Edition. Chelsea Green Publishing, Apr. 2004.
[3] A. C. Orrell, H. E. Rhoads-Weaver, L. T. Flowers, M. N. Gagne, B. H. Pro, and N. A. Foster, “2013 Distributed Wind Market Report,” Pacific Northwest National Laboratory (PNNL), Richland, WA (US), Tech. Rep., 2014. [Online]. Available: http://www.osti.gov/scitech/biblio/1158500
[4] J. Benjanarasut and B. Neammanee, “The d-, q- axis control technique of single phase grid connected converter for wind turbines with MPPT and anti-islanding protection,” in 2011 8th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON). IEEE, May 2011, pp. 649–652.
[5] M. Arifujjaman, “Modeling, simulation and control of grid connected Permanent Magnet Generator (PMG)-based small wind energy conversion system,” in Electric Power and Energy Conference (EPEC), 2010 IEEE, Aug. 2010, pp. 1 –6.