Analysis of Discrete & Space Vector PWM Controlled Hybrid Active Filters For Power Quality Enhancement

ABSTRACT:

It is known from the fact that Harmonic Distortion is one of the main power quality problems frequently encountered by the utilities. The harmonic problems in the power supply are caused by the non-linear characteristic based loads. The presence of harmonics leads to transformer heating, electromagnetic interference and solid state device mal-functioning. Hence keeping in view of the above concern, research has been carried out to mitigate harmonics. This paper presents an analysis and control methods for hybrid active power filter using Discrete Pulse Width Modulation and Space Vector Pulse Width Modulation (SVPWM) for Power Conditioning in distribution systems. The Discrete PWM has the function of voltage stability, and harmonic suppression. The reference current can be calculated by‘d-q’ transformation. In SVPWM technique, the Active Power Filter (APF) reference voltage vector is generated instead of the reference current, and the desired APF output voltage is generated by SVPWM. The THD will be decreased significantly by SVPWM technique than the Discrete PWM technique based Hybrid filters. Simulations are carried out for the two approaches by using MATLAB, it is observed that the %THD has been improved from 1.79 to 1.61 by the SVPWM technique.

KEYWORDS:

  1. Discrete PWM Technique
  2. Hybrid Active Power Filter
  3. Reference Voltage Vector
  4. Space Vector Pulse Width Modulation (SVPWM)
  5. Total Harmonic Distortion (THD)
  6. Voltage Source Inverter (VSI)

SOFTWARE: MATLAB/SIMULINK

BLOCK DIAGRAM:

Figure 1. Configuration of an APF using SVPWM

EXPECTED SIMULATION RESULTS:

Figure 2. Source current waveform with hybrid filter

Figure 3. FFT analysis of source current with hybrid filter

Figure 4. Simulation results of balanced linear load

(a) The phase-A supply voltage and load current waveforms

(b) The phase-A supply voltage and supply current waveforms

Figure 5. Simulation results of unbalanced linear load

(a) Three-phase load current waveforms

(b) Three-phase supply current waveforms

Figure 6. Simulation results of non-linear load

(a) The three-phase source voltage waveforms

(b) The three-phase load current waveforms

(c) The three-phase source current waveforms

Figure 7. Harmonic spectrum of non-linear load

(a) The phase-A load current harmonic spectrum

(b) The phase-A source current harmonic spectrum

 CONCLUSION:

In this paper, a control methodology for the APF using Discrete PWM and SVPWM is proposed.These methods require a few sensors, simple in algorithm and are able to compensate harmonics and unbalanced loads. The performance of APF with these methods is done in MATLAB/Simulink. The algorithm will be able to reduce the complexity of the control circuitry. The harmonic spectrum under non-linear load conditions shows that reduction of harmonics is better. Under unbalanced linear load, the magnitude of three-phase source currents are made equal and also with balanced linear load the voltage and current are made in phase with each other. The simulation study of two level inverter is carried out using SVPWM because of its better utilization of DC bus voltage more efficiently and generates less harmonic distortion in three-phase voltage source inverter. This SVPWM control methodology can be used with series APF to compensate power quality distortions. From the simulated results of the filtering techniques, it is observed that Total Harmonic Distortion is reduced to an extent by the SVPWM Hybrid filter when compared to the Discrete PWM filtering technique i.e. from 1.78% to 1.61%.

REFERENCES:

[1] EI-Habrouk. M, Darwish. M. K, Mehta. P, “Active Power Filters-A Rreview,” Proc.IEE-Elec. Power Applicat., Vol. 147, no. 5, Sept. 2000, pp. 403-413.

[2] Akagi, H., “New Trends in Active Filters for Power Conditioning,” IEEE Trans. on Industry applications,Vol. 32, No. 6, Nov-Dec, 1996, pp. 1312-1322.

[3] Singh.B, Al-Haddad.K, Chandra.A, “Review of Active Filters for Power Quality Improvement,” IEEE Trans. Ind. Electron., Vol. 46, No. 5, Oct, 1999, pp. 960-971.

[4] Ozdemir.E, Murat Kale, Sule Ozdemir, “Active Power Filters for Power Compensation Under Non-Ideal Mains Voltages,” IEEE Trans. on Industry applications, Vol.12, 20-24 Aug, 2003, pp.112-118.

An Intelligent Speed Controller for Indirect Vector Controlled Induction Motor Drive

 

ABSTRACT:

This paper presents the speed control scheme of indirect vector controlled induction motor (IM) drive. PWM controlling scheme is based on Voltage source inverter type space vector pulse width modulation (SVPWM) and the Conventional-PI controller or Fuzzy-PI controller is employed in closed loop speed control. Decoupling of the stator current into torque and flux producing (d-q) current components model of an induction motor is involved in the indirect vector control. The torque component Iq current of an IM is developed by an intelligent based Fuzzy PI controller. Based on settling time and dynamic response the performance of Fuzzy Logic Controller is compared with that of the PI Controller to sudden load changes. It’s provides better control of motor torque with high dynamic performance. The simulated design is tested using various tool boxes in MATLAB. Simulation results of both the controllers are presented for comparison.

KEYWORDS:

  1. Indirect Vector Control (IVC)
  2. Space Vector Pulse Width Modulation (SVPWM)
  3. PI Controller
  4. Fuzzy Logic Controller (FLC)

 SOFTWARE: MATLAB/SIMULINK

BLOCK DIAGRAM:

 

Fig.1 Block diagram of a proposed scheme

EXPECTED SIMULATION RESULTS:

Fig.2 Starting response

Fig.3 Step response

Fig.4 Speed response for with and without load impact

Fig.5 Torque response for with and without load impact

CONCLUSION:

In this paper the concept of fuzzy logic has been presented and the SVM based indirect vector controlled induction motor drive is simulated using both PI and Fuzzy PI controller. The results of both controllers under the dynamics conditions are compared and analyzed. The simulation result support that the FLC settles quickly and has better performance than when PI controller.

REFERENCES:

[1] Bimal K.Bose, “Modern Power Electronics and AC Drives”, Pearson education.

[2] Leonhand.W, ‘Control of Electrical Drives’, Springer Verlag 1990.

[3] Yang Li Yinghong, Chen Yaai and Li Zhengxi “A Novel Fuzzy Logic Controller for Indirect Vector Control Induction Motor

[4] Drive” Proceeding of the 7th World Congress on Intelligent and Automation Jun 25 – 27, 2008, Chongqing,China, pp. 24-28

[5] R.A. Gupta, Rajesh Kumar, S.V.Bhangale “Indirect Vector Controlled Induction Motor Drive with Fuzzy Logic based Intelligent Controller”, ICTES,UK,December 2007,pp.368-373.

 

 

An Intelligent Speed Controller for Indirect Vector Controlled Induction Motor Drive

ABSTRACT:

This paper presents the speed control scheme of indirect vector controlled induction motor (IM) drive. PWM controlling scheme is based on Voltage source inverter type space vector pulse width modulation (SVPWM) and the Conventional-PI controller or Fuzzy-PI controller is employed in closed loop speed control. Decoupling of the stator current into torque and flux producing (d-q) current components model of an induction motor is involved in the indirect vector control. The torque component Iq current of an IM is developed by an intelligent based Fuzzy PI controller. Based on settling time and dynamic response the performance of Fuzzy Logic Controller is compared with that of the PI Controller to sudden load changes. It’s provides better control of motor torque with high dynamic performance. The simulated design is tested using various tool boxes in MATLAB. Simulation results of both the controllers are presented for comparison.

KEYWORDS:

  1. Indirect Vector Control (IVC)
  2. Space Vector Pulse Width Modulation (SVPWM)
  3. PI Controller
  4. Fuzzy Logic Controller (FLC)

SOFTWARE: MATLAB/SIMULINK

BLOCK DIAGRAM:

Fig.1 Block diagram of a proposed scheme

EXPECTED SIMULATION RESULTS:

 

Fig.2 Starting response

 Fig.3 Step response

 

Fig.4 Speed response for with and without load impact

Fig.5 Torque response for with and without load impact

CONCLUSION:

In this paper the concept of fuzzy logic has been presented and the SVM based indirect vector controlled induction motor drive is simulated using both PI and Fuzzy PI controller. The results of both controllers under the dynamics conditions are compared and analyzed. The simulation result support that the FLC settles quickly and has better performance than when PI controller.

REFERENCES:

[1] Bimal K.Bose, “Modern Power Electronics and AC Drives”, Pearson education.

[2] Leonhand.W, ‘Control of Electrical Drives’, Springer Verlag 1990.

[3] Yang Li Yinghong, Chen Yaai and Li Zhengxi “A Novel Fuzzy Logic Controller for Indirect Vector Control Induction Motor

[4] Drive” Proceeding of the 7th World Congress on Intelligent and Automation Jun 25 – 27, 2008, Chongqing,China, pp. 24-28

[5] R.A. Gupta, Rajesh Kumar, S.V.Bhangale “Indirect Vector Controlled Induction Motor Drive with Fuzzy Logic based Intelligent Controller”, ICTES,UK,December 2007,pp.368-373.

Model and system simulation of Brushless DC motor based on SVPWM control

 

ABSTRACT:

According to the disadvantages as large torque ripple of square wave drive brushless DC motor control system, this paper adopted the sine wave drive the permanent magnet brushless DC motor control system based on the space vector pulse width modulation (SVPWM) control method. The simulation model of space vector pulse width modulation control method of the rotated speed of brushless DC motor and current double closed-loop control system is simulated and analyzed in MATLAB/SIMULINK. The simulation results have verified the reasonability and validity of the simulation model.

KEYWORDS:

  1. Brushless DC motor
  2. Modeling and simulation
  3. Space vector pulse width modulation (SVPWM)

SOFTWARE: MATLAB/SIMULINK

BLOCK DIAGRAM:

Figure 1 The overall system block diagram of BLDCM control system

EXPECTED SIMULATION RESULTS:

 

 

Figure 2 Speed information

Figure 3 Torque waveform

 

Figure 4 The motor stator three-phase current waveform

Figure 5 Phase A current use PWM and SVPWM control

 

CONCLUSION:

In this paper, the SVPWM control of BLDCM simulation model is established based on the MATLAB/SIMULINK, and used the classic speed, current double closed-loop PI control algorithm. From the output waveform, it can be seen the system corresponding speed fast, quickly achieve steady state. Plus load torque at t=0.1s, the speed happen fell but return to equilibrium state at soon. Three phase stator current waveform as nearly as sine wave. The simulation results show that the SVPWM control of BLDCM has good static and dynamic characteristics.

REFERENCES:

[1]Wu Quan-li, Huang Hong-quan. Simulation study of penmanent maagnet brushless DC motor based on PWM control. Electrical switches, Vol.5 (2010), p. 39-41

[2]Ma Ruiqing, Deng Junjun. Research on characteristic of sinusoidal current driving method for

BLDCM with hall position sensor. Micro-motor, Vol.7 (2011), p. 59-61

[3]Wang Shuhong. A control strategy of PMDC brushless motor based on SVPWM. Automation

Expo, Vol.10 (2008), p. 66-68

[4]Qiu Jianqi. SVPWM control for torque ripple attenuation of PM brushless DC motors. Small and medium-sized motor. Vol.2 (2003), p. 27-28

[5]Boyang Hu.180-Degree Commutation System of Permanent Magnet Brushless DC Motor Drive Based on Speed and Current Control.2009 Sencond International Conference on Intelligent Computation Technology and Automation,Vol.2 (2009), p. 723-726

Performance Investigation of Space Vector Pulse Width Modulated Inverter fed Induction Motor Drive

ABSTRACT

This paper introduces Space Vector Pulse Width Modulation (SVPWM) Technique in detail and its implementation in MATLAB. Performance investigation of Sinusoidal Pulse Width Modulated and Space Vector Modulated Voltage Source Inverter (VSI) fed Induction Motor (1M) drive has done and their simulation results are compared with each other. Also FFT analysis for Sinusoidal Pulse Width Modulated and Space Vector Pulse Width Modulated VSl fed 1M drive is done and compared with each other. 20 HP 1M is used. The study confirms that 1M gives improved performance when it is fed from Space Vector Pulse Width Modulated VS1.

 

KEYWORDS

  1. Space Vector Pulse Width Modulation (SVPWM)
  2. Sinusoidal Pulse Width Modulation (SPWM)
  3. Two Level Voltage Source Inverter (VSI)
  4. Total Harmonic Distortion (THD)
  5. Three Phase Induction Motor (1M).

 

SOFTWARE: MATLAB/SIMULINK

BLOCK DIAGRAM:

image001

Figure 1. Block diagram of SVPWM

EXPECTED SIMULATION RESULTS

image002

Figure 2. (a) Line to Line Voltage (Vab) of Space Vector Modulated VSI (b) Stator current (i,..) of IM (c) Electromagnetic Torque (Te) of IM (d) Rotor Speed (Nm) of 1M.

image003

Figure 3 (a) Line to Line Voltage (Vab) of Sinusoidal Pulse Width Modulated VSI (b) Stator current (i,a) of IM ( c) Electromagnetic Torque (Te) of IM (d) Rotor Speed (Nm) of IM

image004

Figure 4. FFT Analysis of Line to Line Voltage (Vab) of (a) Sinusoidal Pulse Width Modulated VSL (b) Space Vector Modulated VSL

CONCLUSION

The simulation study of SVPWM technique was presented and compared with SPWM technique. It was found that by using SVPWM technique, THD content present in inverter output voltage is less as compared with SPWM technique. Table III shows that the utilization of DC bus is l3.55% more for SVPWM compared TO SPWM technique. i. e. SVPWM technique achieved a better utilization of DC bus as compared with SPWM technique. The performance investigation of SPWM inverter and SVPWM inverter fed 1M drive was done. Table IV shows, in case of SVPWM increased rotor speed with reduced error band achieved as compared with SPWM. Also settling time is less for SVPWM as compared with SPWM. It was conclude that results for SVPWM technique are more convenient than SPWM technique.

 

REFERENCES

  1. W. Van der Broeck, H. C. Skudelny and G. V. Stanke, “Analysis and realization of a pulsewidth modulator based on voltage space vectors,” IEEE Trans. Ind. Applicat., vol. 24,no. I, pp. 142-150, Jan.lFeb. 1988.
  2. Fukuda, Y. Iwaji, and H. Hasegawa, “PWM technique for inverter with sinusoidal output current,” IEEE Trans. Power Electron., vol. 5, no. I, pp. 54-61, Jan. 1990.
  3. Kolar, H. Ertl, and F. C. Zach, “Inf1uence of the modulation method on the conduction and switching losses of a PWM converter system,” IEEE Trans. Ind. Application., vol. 27, no. 6, pp. 1063-1075, Nov.lDec. 1991.
  4. Joachim Holtz,. “Pulsewidth modulation – A survey,” IEEE Trans. on Ind. Electron, vol. 1, pp. 11-18, Dec. 1992.
  5. H. Kwon and B. D. Min, “A fully software-controlled PWM rectifier with current link,” IEEE Trans. Ind. Electron., vol. 40, no. 3, pp. 355-363, June 1993.

Design of a multilevel inverter with reactive power Control ability for connecting PV cells to the grid

 

ABSTRACT:  

With the increasing use of PV cells in power system, optimal utilization of the equipment is an important issue. In these systems the MPPT controller is used to inject the maximum available power from solar energy. During day time that the active power decreases because of low intensity, the inverter is capable of injecting reactive power up to its nominal capacity and this is a chance for reactive power compensation. In this paper the aim is to propose a control method for injecting the maximum active power and if possible, the reactive power. In addition, a low pass filter is suggested to solve the problem of current fluctuations in case of unbalanced load. Simulation results on a typical system in MATLAB indicate proper performance of the presented method.

KEYWORDS:

 NPC inverter

Maximum Power Point Tracking (MPPT)

Photovoltaic cell (PV)

PI current control

Space vector pulse width modulation (SVPWM)

 SOFTWARE: MATLAB/SIMULINK

 BLOCK DIAGRAM:

 image001

Fig1. Studied system for injecting power to the grid and local load

EXPECTED SIMULATION RESULTS:
image002

Figure2. output active and reactive power of the inverter

image003

Figure3. THD of injected current to the grid in no-load condition

image004

Figure4. Injecting active power in no-load condition and low intensity of light

image005

Figure5. load increase at t=0.5s and its effects on active and reactive power

image006

Figure6. Injected voltage and current to the grid and the effect of inductive load on current

image007

Figure7. Analyzing THD of injected current to the grid in PeL=50kw and PQL=30kvar condition

image008

Figure8. Power increment in two levels: a. at t=0.5s and b. at t=0.7s

image009

Figure9. Output power of inverter and the grid

image010

Figure10. Output voltage and current after using filter and limiter

image011

Figure11. THD of circuit when PeL=50kw and PQL=30kvar and using filter and limiter

CONCLUSION:

In this paper a control strategy is proposed for current control of PV inverter that control s maximum generated active power and reactive power compensation of local load simultaneously .The main idea is to utilize inverter for reactive power injection during active power decrement .using a low pass filter and power limiter in control system , produced oscillations due to unbalanced load is eliminated and inverter works in safe condition simulation results show the proposed method to be viable in controlling inverter

REFERENCES:

[1] Chung-ChuanHou,Chih-Chung Shih, Po-Tai Cheng,Ahmet M. Hava, Common-Mode Voltage Reduction Pulsewidth

Modulation Techniques for Three-Phase Grid-Connected Converters , IEEE TRANSACTIONS ON POWER ELECTRONICS, VOL. 28, NO. 4, APRIL 2013

[2] GeorgiosTsengenes, Thomas Nathenas, Georgios Adamidis,” A three-level space vector modulated grid connected inverter with control scheme based on instantaneous power theory”, Simulation Modelling Practice and Theory 25 (2012) 134–147

[3] S. Kouro, K. Asfaw, R. Goldman, R. Snow, B. Wu, and J. Rodríguez, NPC Multilevel Multistring Topology for Larg Scale Grid Connected Photovoltaic Systems,2010 2nd IEEE International Symposium on Power Electronics for Distributed Generation Systems

[4] Georgios A. Tsengenes, Georgios A. Adamidis, Study of a Simple Control Strategy for Grid

Connected VSI Using SVPWM and p-q Theory,XIX International Conference on Electrical Machines – ICEM 2010, Rome

[5] César Trujillo Rodríguez, David Velasco de la Fuente, Gabriel Garcerá, Emilio Figueres, and Javier A. Gua can eme Moreno,Reconfigurable Control Scheme for a PV

2016-17 IEEE Electrical Projects List

Sensor Less Speed Control of permanent magnet synchronous motor (PMSM) using SVPWM Technique Based on MRAS Method for Various Speed and Load Variations

ABSTRACT:

The permanent magnet synchronous motor (PMSM) has emerged as an alternative to the induction motor because of the reduced size, high torque to current ratio, higher efficiency and power factor in many applications. Space Vector Pulse Width Modulation (SVPWM) technique is applied to the PMSM to obtain speed and current responses with the variation in load. This paper analysis the structure and equations of PMSM, SVPWM and voltage space vector process. The Model Reference Adaptive System (MRAS) is also studied. The PI controller uses from estimated speed feedback for the speed senseless control of PMSM based on SVPWM with MRAS. The control scheme is simulated in the MATLAB/Simulink software environment. The simulation result shows that the speed of rotor is estimated with high precision and response is considerable fast. The whole control system is effective, feasible and simple.

KEYWORDS:

  1. PMSM
  2. Space vector pulse width modulation
  3. Model reference adaptive system

SOFTWARE: MATLAB/SIMULINK

BLOCK DIAGRAM:

Schematic Block of MRAS scheme                      

Fig. 1. Schematic Block of MRAS scheme

Sensor less control block diagram with MRAS system

Fig. 2. Sensor less control block diagram with MRAS system

EXPECTED SIMULATION RESULTS:

Reference and real speed of PMSM

Fig. 3. Reference and real speed of PMSM

Electromagnetic torque of PMSM

Fig. 4. Electromagnetic torque of PMSM

Reference and real speed of PMS

Fig. 5. Reference and real speed of PMS

Electromagnetic torque of PMSM

Fig. 6. Electromagnetic torque of PMSM

 Reference and real speed of PMSM

Fig. 7. Reference and real speed of PMSM

Electromagnetic torque of PMSM

Fig. 8. Electromagnetic torque of PMSM

Reference and real speed of PMSM

Fig. 9. Reference and real speed of PMSM

Electromagnetic torque of PMSM

Fig. 10. Electromagnetic torque of PMSM

CONCLUSION:

A detailed Simulink model for a PMSM drive system with SVPWM based on model reference adaptive system has being developed. Mathematical model can be easily incorporated in the simulation and the presence of numerous toll boxes and support guides simplifies the simulation. The space vector pulse width modulation technique (SVPWM) control technique is used in PMSM drive which has its potential advantages, such as lower current waveform distortion, high utilization of DC voltage, low switching and noise losses, constant switching frequency and reduced torque pulsations provides a fast response and superior dynamic performance. Matlab/Simulink based computer simulation results shows that the adaptive algorithm improve dynamic response, reduces torque ripple, and extended speed range. Although this control algorithm does not require any integration of sensed variables.

REFERENCES:

[1] Young Sam Kim, Sang Kyoon Kim, Young Ahn Kwon, “MRAS Based Sensorless vontrol of permanent magnet synchronous motor”, SICE Annual conference in Fukui, August 4-6,2003.

[2] Xiao Xi, LI Yongdong, Zhang Meng, Liang Yan, “A Sensorless Control Based on MRAS Method in Interior Pernanent-Magnet Machine Drive”, pp734-738, PEDS 2005.

[3] Zhang Bingy, Cen Xiangjun et al. “A pposition sensor less vector control system based on MRAS for low speeds and high torque PMSM drive”, Railway technology avalanche, vol.1, no.1, pp.6, 2003.

[4] P. Vas, “Sensorless Vector and Direct Torque Control”, Oxford University Press, 1988.

[5] A. K. Gupta and A. M. Khambadkone, “A Space Vector PWM Scheme for Multilevel Inverters Based on Two-Level Space Vector PWM,” IEEE Transactions on Industrial Electronics, vol. 53, no 5, pp. 1631-1639, Oct. 2006.