Power Quality Improvement Using Multi-level Inverter based DVR and DSTATCOM Using Neuro-fuzzy Controller

International Journal of Power Electronics and Drive System (IJPEDS)
Vol. 8, No. 1, March 2017, pp. 316~324
ISSN: 2088-8694, DOI: 10.11591/ijpeds.v8i1.pp316-324  316
Journal homepage: http://iaesjournal.com/online/index.php/IJPEDS
Power Quality Improvement Using Multi-level Inverter based
DVR and DSTATCOM Using Neuro-fuzzy Controller
G. Ramya1
, V. Ganapathy2
, P. Suresh3
1
Department of Electrical and Electronics Engineering, SRM University, Chennai, India
2
Department of Information Technology, SRM University, Chennai, India
3
Department of Electrical and Electronics Engineering, Annamalai University, Chidambaram, India
Article Info ABSTRACT
Article history:
Received Oct 20, 2016
Revised Dec 26, 2016
Accepted Jan 05, 2017
STATCOM is one of the shunt type FACTS controllers which can supply
reactive power and improve bus voltage. STATCOM, a controlling device
used on alternating current transmission networks, has advantages like
transient free switching and smooth variation of reactive power. This paper
proposes a cascaded multilevel inverter type DSTATCOM and DVR to
compensate voltage sag in utilities in power distribution network. The
proposed DSTATCOM is implemented using multilevel topology with
isolated dc energy storage and reduced number of switches. A DVR injects a
voltage in series with the system voltage and a D-STATCOM implant a
current into the system to correct the voltage sag, swell and interruption. The
phase shifter PWM technique is described to generate firing pulse to
cascaded inverter. The proposed neuro-fuzzy controller follow itself to the
sag and provides effective means of mitigation .The voltage sag with the
minimum harmonic at the efficacy end. The proposed technique is simulated
using MATLAB/Simulink.
Keyword:
Flexible alternating current
transmission system
Modular multi-level converters
Static synchronous
compensator
Static var compensator
Total harmonic distortion Copyright © 2017 Institute of Advanced Engineering and Science.
All rights reserved.
Corresponding Author:
G. Ramya,
Department of Electrical and Electronics Engineering,
SRM University,
Chennai, India.
Email: ramyaganesaan@gmail.com
1. INTRODUCTION
FLEXIBLE ac transmission systems (FACTS) are being pre-owned extensively in power system to
enhance the system utilization, power transfer capacity conjointly the power quality of ac system
interconnections [1]-[2]. As typical shunt FACTS equipment, STATCOM is idolized at the point of common
connection (PCC) to ingest or interject the requisite reactive power, through which the voltage quality of
PCC is enhanced [3]. In recent years, abounding topologies have been enforced to the STATCOM. Among
many types of topology, H-bridge cascaded STATCOM has been extensively acknowledged in high-power
functions for the following advantages: quick response speed, small volume, high efficiency, minimum
synergy with the supply grid and its individual phase curb capacity [4]–[7]. Compared with a diode-clamped
converter or flying capacitor converter, H-bridge cascaded STATCOM can retrieve high number of levels
more easily and can be coherent to the grid directly without the unwieldy transformer. This enables us to
reduce cost and improve the efficacy of H-bridge cascaded STATCOM [8].
There are two industrial disputes which exist in H-bridge cascaded STATCOM to date. Initially, the
restraint method for the current loop is an important factor influencing the compensation attainment.
However, many non-ideal factors, such as the finite bandwidth of the output current loop, the time delay
lured by the signal detecting circuit, and the allusion command current generation process, will deteriorate
the reimbursement effect. Secondly, H-bridge cascaded STATCOM is a complicated system with more

IJPEDS ISSN: 2088-8694 
Power Quality Improvement Using Multi-level Inverter based DVR and DSTATCOM.... (G. Ramya)
317
number of H-bridge cells in each phase, so the dc capacitor voltage inequality concern which caused by
different active power losses among the cells, disparate switching patterns for disparate cells, parameter
variations of active and passive components inside cells will clout the authenticity of the system and even
lead to the breakdown of the system. Hence, many researches have been concentrated on hunting the
solutions to these complications.
In terms of current control loop, the majority of approaches associate the classic linear control
method, in which the non-linear equations of the STATCOM model are linearized with a specific
equilibrium. The most extensively used linear control schemes are PI controllers [9],[10]. In [9], to regulate
reactive power, only a simple PI controller is lugged out. In [10], through a decoupled control strategy, the PI
controller is used in a synchronous d–q frame. However, it is hard to find the suitable parameters for
designing the PI controller and the performance of the PI controller might degrade with the external
disturbance. Thus, a number of intelligent methods have been proposed, the PI controller advances similar to
particle swarm optimization [11], neural networks [12], and artificial immunity [13]. In literature [14],[15],
adaptive control and linear booming clout have been reported for their anti-external disturbance ability. In
literature [16]-[17], a popular dead-beat current controller is used. This control method has the high
bandwidth and the agile allusion current tracking speed. The enduring state achievement of H-bridge
cascaded STATCOM is enhanced, but the dynamic performance is not improved. In [18], a dc injection
elimination method called IDCF is proposed to build an extra feedback loop for the dc component of the
output current. It can improve the output current quality of STATCOM. However, the circuit configuration of
the cascaded STATCOM is the delta configuration, but not the star configuration. Moreover, an adaptive
theory-based improved continuous sinusoidal tracer control method is proposed in [19] and a leaky least
mean square-based regulation style is proposed in [20]. But these methods are not for STATCOM with the
cascaded structure. By using the traditional linear control method, the controller is characterized by its simple
control structure and parameter design convenience, but poor aggressive control stability.
Other curbs access nonlinear control which directly compensates for the system nonlinearities
without requiring a linear approximation. In [21], an input–output feedback linearization controller is
designed. By enumerating a damping term, the oscillation amplitude of the internal dynamics can be
effectively decreased. However, the stability cannot be guaranteed [22]. Then, many new modified damping
controllers are designed to strengthen the controllability and performance of the internal dynamics [23]-[26].
2. CONFIGURATION OF STATCOM AND DVR
STATCOM is a regulating device used on alternating current electricity transmission networks. It is
based on a power electronics voltage-source converter and can act as either a source or sink of reactive AC
power to an electricity network. If connected to a source of power it can also provide active AC power. It is a
member of the FACTS family of devices and the Standard configuration of STATCOM is shown in Figure 1
and standard configuration, schematic diagram of DVR is shown in Figure 2 & 3 respectively.
One of the main reasons for installing an SVC or STATCOM in transmission networks is to increase
the power transfer capability where limited by post-contingency voltage criteria or under voltage loss of load
probability. Determining the optimum mix of dynamic and switched compensation is a challenge. Control
systems are designed to keep the normal operating point within the middle of the SVC or STATCOM
dynamic range. The voltage-sourced converter (VSC) is the basic electronic part of a STATCOM, which
converts the dc voltage into a frequency, and phase. There are different methods to realize a voltage-sourced
converter for power utility application. Based on harmonics and loss considerations, pulse width modulation
(PWM) or multiple converters are used. Inherently, STATCOMs have a symmetrical rating with respect to
inductive and capacitive reactive power.
Figure 1. Standard configuration of STATCOM

 ISSN: 2088-8694
IJPEDS Vol. 8, No. 1, March 2017 : 316 – 324
318
For asymmetric rating, STATCOMs need a complementary reactive power source. Shows Static
Synchronous Compensator (STATCOM) used for midpoint voltage regulation on a 500-kV transmission line.
STATCOM, by injecting current in parallel with transmission line could control bus voltage and active
power. Also, required active power for series section is supplied by DC-link capacitor. The block and circuit
diagram of proposed seven level and nine level inverter based multilevel inverter based STATCOM and
DVR is shown in Figure 4 & 5 respectively.
Figure 2. Standard Configuration of DVR
Figure 3. Schematic diagram of DVR
Figure 4. Block Diagram of proposed MLI

319
Figure 5. Circuit Diagram of proposed MLI
3. SIMULATION RESULT
The comparison of seven level and nine level based STATCOM and DVR systems is done using
MATLAB and the result are presented here. The circuit diagram of MLI based STATCOM and DVR without
compensation is shown in Figure 6 output of non-linear load, voltage and current waveform and PWM
waveform of non-linear load is shown in Figure 7-13 respectively. Output of MLI without compensation is
shown in Figure 14. Figure 15 shows the Simulation diagram of MLI based DSTATCOM & DVR with
compensation. Table 1 shows the Comparison of MLI based DSTATCOM and DVR with and without
compensation and output with compensation is shown in Figure 16. Figure 17 shows hardware model of MLI
based DSTATCOM and DVR.
Figure 6. Simulation diagram of non-linear load

 ISSN: 2088-8694
320
Figure 7. Non-linear load waveform 1
Figure 8. Non- linear load waveform 2
Figure 9. Voltage and current waveform
Figure 10. Low PWM waves 1

321
Figure 11. Low PWM waves 2
Figure 12. Upper PWM waves 1
Figure 13. Upper PWM waves 2
Figure 14. Output without compensation

 ISSN: 2088-8694
322
Figure 15. Simulation diagram of MLI based DSTATCOM & DVR with compensation
Figure 16. Output with compensation
Table 1. Comparison of MLI based DSTATCOM and DVR with and without compensation
S. NO WITHOUT COMPENSATION WITH COMPENSATION
1 INPUT 1500 INPUT 1500
2 OUTPUT 1000(SAG 500V) OUTPUT 1500
Figure 17. Hardware model of MLI based DSTATCOM and DVR

323
4. CONCLUSION
A seven level and nine level multilevel inverter with reduced number of switches based STATCOM
and DVR system are successfully designed; Modelled and simulated using MATLAB and the corresponding
results are presented. The result identified that no ripple voltage in the case of seven level and nine level
multilevel inverter based STATCOM and DVR system. The present work deals with open loop controlled
seven level and nine level based STATCOM and DVR system. The investigation on closed loop system will
be done in future.
REFERENCES
[1] B. Gultekin and M. Ermis, “Cascaded multilevel converter-based transmissionSTATCOM: System design
methodology and development of a 12 kV ±12 MVAr power stage,” IEEE Trans. Power Electron., vol/issue:
28(11), pp. 4930–4950, 2013.
[2] B. Gultekin, et al., “Design and implementation of a 154-kV±50-Mvar transmission STATCOM based on 21-level
cascaded multilevel converter,” IEEETrans. Ind. Appl., vol/issue: 48(3), pp. 1030–1045, 2012.
[3] S. Kouro, et al., “Recent advances and industrial applications of multilevel converters,” IEEE Trans. Ind. Electron.,
vol/issue: 57(8), pp. 2553–2580, 2010.
[4] F. Z. Peng, et al., “A multilevel voltage-source inverter with separateDCsources for static var generation,” IEEE
Trans. Ind. Appl., vol/issue: 32(5), pp. 1130–1138, 1996.
[5] Y. S. Lai and F. S. Shyu, “Topology for hybrid multilevel inverter,” Proc. Inst. Elect. Eng.—Elect. Power Appl.,
vol/issue: 149(6), pp. 449–458, 2002.
[6] D. Soto and T. C. Green, “A comparison of high-power converter topologies for the implementation of FACTS
controllers,” IEEE Trans. Ind.Electron., vol/issue: 49(5), pp. 1072 1080, 2002.
[7] C. K. Lee, et al., “Circuit-level comparison of STATCOM technologies,” IEEE Trans. Power Electron., vol/issue:
18(4), pp. 1084–1092, 2003.
[8] H. Akagi, et al., “Control and performance of a transformerless cascade PWM STATCOM with star configuration,”
IEEETrans. Ind. Appl., vol/issue: 43(4), pp. 1041–1049, 2007.
[9] A. H. Norouzi and A. M. Sharaf, “Two control scheme to enhance the dynamic performance of the STATCOM and
SSSC,” IEEE Trans. PowerDel., vol/issue: 20(1), pp. 435–442, 2005.
[10] C. Schauder, et al., “Operation of ±100 MVAr TVA STATCOM,” IEEE Trans.Power Del., vol/issue: 12(4), pp.
1805–1822, 1997.
[11] C. H. Liu and Y. Y. Hsu, “Design of a self-tuning PI controller for a STATCOM using particle swarm
optimization,” IEEE Trans. Ind. Electron., vol/issue: 57(2), pp. 702–715, 2010.
[12] S. Mohagheghi, et al., “A proportional-integrator type adaptive critic design-based neurocontroller for a static
compensator in a multimachine power system,” IEEETrans. Ind. Electron., vol/issue: 54(1), pp. 86–96, 2007.
[13] H. F. Wang, et al., “Application of cell immune responsemodelling to power system voltage control by STATCOM,”
Proc. Inst.Elect. Eng. Gener. Transm. Distrib., vol/issue: 149(1), pp. 102–107, 2002.
[14] A. Jain, et al., “Voltage regulation with STATCOMs: Modeling, control and results,” IEEE Trans. Power Del.,
vol/issue: 21(2), pp. 726–735, 2006.
[15] V. Spitsa, et al., “Design of a robust state feedback controller for a STATCOM using a zero set concept,”
IEEETrans. Power Del., vol/issue: 25(1), pp. 456–467, 2010.
[16] C. D. Townsend, et al., “Multigoal heuristic model predictive control technique applied to a cascaded H-bridge
STATCOM,” IEEE Trans. Power Electron., vol/issue: 27(3), pp. 1191–1200, 2012.
[17] C. D. Townsend, et al., “Optimization of switching losses and capacitor voltage ripple using model predictive
control of a cascaded H-bridge multilevel STATCOM,” IEEE Trans. Power Electron., vol/issue: 28(7), pp. 3077–
3087, 2013.
[18] Y. Shi, et al., “Eliminating DC current injection in currenttransformer- sensed STATCOMs,” IEEE Trans. Power
Electron., vol/issue: 28(8), pp. 3760–3767, 2013.
[19] B. Singh and S. R. Arya, “Adaptive theory-based improved linear sinusoidal tracer control algorithm for
DSTATCOM,” IEEE Trans. PowerElectron., vol/issue: 28(8), pp. 3768–3778, 2013.
[20] S. R. Arya and B. Singh, “Performance of DSTATCOM using leaky LMS control algorithm,” IEEE J. Emerging
Select. Topics Power Electron., vol/issue: 1(2), pp. 104–113, 2013.
[21] P. Petitclair, et al., “Optimized linearization via feedback control law for a STATCOM,” in Proc. IEEE Ind. Appl.
Soc.Annu. Meeting, pp. 880–885, 1997.
[22] H. Khalil, “Nonlinear Systems,” 3rd ed. Englewood Cliffs, NJ, USA, Prentice-Hall, 2002.
[23] Y. Han, et al., “Modified non-linear damping of internal dynamics via feedback linearisation for static synchronous
compensator,” IET Gener. Transm. Distrib., vol/issue: 5(9), pp. 930–940, 2011.
[24] Y. O. Lee, et al., “Output tracking control with enhanced damping of internal dynamics and its output boundedness
for STATCOM system,” IET Control Theory Appl., vol/issue: 6(10), pp. 1445– 1455, 2012.
[25] Y. O. Lee, et al., “Output tracking control with enhanced damping of internal dynamics and its output
boundedness,” in Proc. IEEE Conf. Decision Control, pp. 3964–3971, 2010.
[26] Y. Han, et al., “A modified nonlinear damping of zero-dynamics via feedback control for a STATCOM,” in Proc.
IEEEPowerTech, pp. 880–885, 2009.

 ISSN: 2088-8694
324
BIOGRAPHIES OF AUTHORS
G.Ramya was born on 22nd
May 1988 in Tirupattur, Tamilnadu, India. She obtained her
Bachelor of Engineering (B.E.) Degree from Veltech Engineering College, Chennai and Master
of Engineering (M.E) from DMI Engineering College, Chennai in the years 2009 and 2011
respectively. She is a research Scholar in Department of EEE, Faculty of Engineering &
Technology, SRM University, Chennai, India. She has four years of teaching experience and
currently working as an Assistant Professor in the Department of EEE, Faculty of Engineering &
Technology, SRM University, Chennai, India. Her research interests are Power quality, FACTS,
Soft computing, Power System Analysis, and Analysis of Inverter.
Velappa Ganapathy was born on 1st
May 1941 in Salem, Tamilnadu, India. He obtained his
Bachelor of Engineering (B.E.) Degree from the Government College of Technology,
Coimbatore and MSc. (Engg.) from the P.S.G. College of Technology, Coimbatore in the years
1964 and 1972 respectively. He got his PhD from the Indian Institute of Technology, Madras in
the year 1982. Currently Velappa Ganapathy is working as a Professor in the Department of
Information Technology, Faculty of Engineering & Technology, SRM University, Chennai,
India. He had worked from 1964 to 1997 in various capacities as Associate Lecturer, Lecturer,
Assistant Professor and Professor at the Government College of Technology, Coimbatore and at
Anna University, Chennai. He left for Malaysia in the year 1997 and worked in Multimedia
University, Cyberjaya, Monash University, Sunway Campus and University of Malaya all in
Kuala Lumpur, Malaysia till July 2013. His research interests are Digital Signal Processing, Soft
computing, Power System Analysis, Neural Networks, Fuzzy Logic, Genetic Algorithms,
Robotic Navigation, Bond Graph, VLSI Design, Image Processing, Computer Vision, Service
Oriented Architecture, Sensors etc. So far he has published 72 papers in International Journals
and 115 papers in the Proceedings of International Conferences.
P.Suresh was born on 24th
October 1986 in Cuddalore, Tamilnadu, India. He obtained his
Bachelor of Engineering (B.E.) Degree and Master of Engineering (M.E) in Power Electronics
and Drives from R.V.S college of Engineering and Hindustan university in the year 2008 and
2011 respectively. He is a research scholar in Annamalai University, Chidambaram, India. He
has five years of teaching experience and working as an Assistant Professor in the Department
of EEE, St. Joseph college of Engineering, Sriperumbhudhur, Chennai, India. His research area
is on power quality improvement using IDVR.

Power Quality Improvement Using Multi-level Inverter based DVR and DSTATCOM Using Neuro-fuzzy Controller

More Related Content

What's hot (20)

Similar to Power Quality Improvement Using Multi-level Inverter based DVR and DSTATCOM Using Neuro-fuzzy Controller (20)

More from International Journal of Power Electronics and Drive Systems (20)

Recently uploaded (20)

Power Quality Improvement Using Multi-level Inverter based DVR and DSTATCOM Using Neuro-fuzzy Controller