asokatechnologies@gmail.com 09347143789/09949240245

Search This Blog

Sunday 26 July 2020

A New Design Method of an LCL Filter Applied in Active DC-Traction Substations


ABSTRACT:  
This paper concentrates on the LCL filter with damping resistance intended to connect the shunt active power filter of an active DC-traction substation to the point of common coupling with the transmission grid. In order to find design conditions and conceive a design algorithm, attention is directed to the transfer functions related to currents and the associated frequency response. The mathematical foundation of the design method is based on the meeting the requirements related to the significant attenuation of the high-frequency switching current, concurrently with the unalterated flow of the current that needs to be compensated by active filtering. It is pointed out that there are practical limitations and a compromise must be made between the two requirements. To quantify the extent to which the harmonics to be compensated are influenced by imposing the magnitude response at both highest harmonic frequency to be compensated and switching frequency, a performance indicator is defined. As an additional design criterion, the damping power losses are taken into consideration. The validity and  effectiveness of the proposed method are proved by simulation results and experimental tests on a laboratory test bench of  small scale reproducing the specific conditions of a DC-traction substation with six-pulse diode rectifier.
KEYWORDS:
1.      DC-traction substations
2.      LCL filter
3.      Passive damping
4.      Regeneration
5.      Shunt active power filters

 SOFTWARE: MATLAB/SIMULINK

BLOCK DIAGRAM:








Fig. 1. Block diagram of the active DC-traction substation.


 EXPERIMENTAL RESULTS:






Fig. 2. Voltages and currents in the TT’s primary in traction regime.
Fig. 3. Harmonic spectrum of the current in the primary of TT.



Fig. 4. Bode magnitude diagram for Cf =10F, Rd =27; L2 =1.48mH.



Fig. 5. LCL filter input current.


Fig. 6. Current flowing through the capacitor of the interface filter.



Fig. 7. Harmonic spectra of the LCL filter input current (black bars) and
output current (yellow bars) for harmonic order k[1, 37].




Fig. 8. Voltages and currents upstream of PCC during the operation in
traction regime.


Fig. 9. Succesive traction (filtering) and braking (regeneration) regimes: (a)
phase voltage (blue line) and supply current (green line); (b) DC-capacitor
voltage (black line) and DC-line voltage (red line).


CONCLUSION:
A new design method of an LCL filter with damping resistance intended to couple the three-phase VSI of an active DC-traction substation to the power supply has been proposed in this paper. The following elements of originality are outlined.
1) The theoretical substantiation is based on the frequency response from transfer functions related to currents, taking into account the existence of the series damping resistances.
2) The expressed amplitude response and resonance frequency highlight their dependence on only pairs L2Cf and RdCf, It is a very important finding for the conceived design algorithm.
3) The expression of the power losses in the damping resistances is highlighted and an equivalent resistance is introduced as a quantitative indicator of them.
4) By considering the switching frequency as main parameter and taking into consideration the frequency of the highest order harmonic to be compensated, the design algorithm is based on the imposition of the associated attenuations.
5) In the substantiation of the design algorithm, a detailed analysis is performed on the existence of physical-sense solutions, providing the domain in which the values of the parameters must be located.
6) As a large number of parameters values sets can be obtained, a new performance indicator (MPI) is proposed, to quantify the extent to which the harmonics to be compensated are influenced.
The analysis and the simulation results achieved for an active DC-traction substation with six-pulse diode rectifier and LCL coupling filter have indicated that the proposed method is valid and effective. The experimental tests conducted in a laboratory test bench of small scale reproducing the specific conditions of a DC-traction substation illustrate good performance of the system for active filtering and regeneration connected to the power supply by the passive damped LCL filter.
The design proposal can be applied in any three-phase LCL-filter-based shunt active power filter.
REFERENCES:
[1] A. Ghoshal and V. John, “Active damping of LCL filter at low switching to resonance frequency ratio,” IET Power Electron., vol. 8, no. 4, pp. 574–582, 2015.
[2] G. E. Mejia Ruiz, N. Munoz, and J. B. Cano, “Modeling, analysis and design procedure of LCL filter for grid connected converters,” in Proc. 2015 IEEE Workshop Power Electron. and Power Quality Appl. (PEPQA), pp. 1–6.
[3] M. Hanif, V. Khadkikar, W. Xiao, and J. L. Kirtley, “Two degrees of freedom active damping technique for filter-based grid connected PV systems,” IEEE Trans. Ind. Electron., vol. 61, no. 6, pp. 2795–2803,June 2014.
[4] X. Wang, F. Blaabjerg, and P. C. Loh, “Grid-current-feedback active damping for LCL resonance in grid-connected voltage source converters,” IEEE Trans. Power Electron., vol. 31, pp. 213–223, 2016.
[5] W. Xia, J. Kang, “Stability of LCL-filtered grid-connected inverters with capacitor current feedback active damping considering controller time delays,” J. Mod. Power Syst. Clean Energy, vol. 5, no. 4, pp. 584–598, July 2017.

Friday 17 July 2020

Modelling and Simulation of Standalone PV Systems with Battery supercapacitor Hybrid Energy Storage System for a Rural Household


ABSTRACT:  
This paper presents the comparison between the standalone photovoltaic (PV) system with battery-supercapacitor hybrid energy storage system (BS-HESS) and the conventional standalone PV system with battery-only storage system for a rural household. Standalone PV system with passive BS-HESS and semi-active BS-HESS are presented in this study. Two control strategies, Rule Based Controller (RBC) and Filtration Based Controller (FBC), are developed for the standalone PV system with semi-active BS-HESS with the aim to reduce the battery stress and to extend the battery lifespan. The simulation results show that the system with semi-active BS-HESS prolongs the battery lifespan by significantly reducing the battery peak current up to 8.607% and  improving the average SOC of the battery up to 0.34% as compared to the system with battery only system.
KEYWORDS:
1.     Renewable energy
2.     PV
3.     Hybrid energy storage system
4.     Supercapacitor
5.     Battery
6.     Control strategy

SOFTWARE: MATLAB/SIMULINK
BLOCK DIAGRAM:



Fig. 1. Simulink Models. (a) Standalone PV system with Battery-only Storage. (b) Standalone PV System with Passive BS-HESS. (c) Standalone PV system with Semi-Active BS-HESS.

EXPERIMENTAL RESULTS:



Fig. 2. 24-hours Profiles. (a) Solar Irradiation Profile. (b) Load Demand (c) PV Power Output.



Fig. 3. Battery Current. (a) Battery-only (b) Passive BS-HESS. (c) Semi-active BS-HESS (RBC). (d) Semi-active BS-HESS (Moving Average).





Fig. 4. Supercapacitor Current. (a) Passive BS-HESS. (b) Semi-active BS-HESS (RBC). (c) Semi-active BS-HESS (Moving Average).
CONCLUSION:
The BS-HESS shows the positive impact to the battery and the overall system. The passive BS HESS is easy to be implemented, but the improvement is not significant as it cannot be controlled. Therefore, semi-active BS-HESS is a better configuration that improves the battery lifespan and maximizes the level of utilization of the supercapacitor. The system with semi-active BS-HESS (moving average filter) has significantly smoothened the battery current. The system with semi-active BS-HESS (RBC) shows a great capability in battery peak current reduction and the prevention of battery deep discharge by reducing the peak power demand by 8.607% and improving the average SOC of the battery by 0.34% as compared to the system with battery-only system.
REFERENCES:
[1] Kan SY, Verwaal M, and Broekhuizen H, The use of battery-capacitor combinations in photovoltaic powered products, J. Power Sources 2006, 162: 971–974.
[2] Chong LW, Wong YW, Rajkumar RK, Rajkumar RK, and Isa D, Hybrid energy storage systems and control strategies for stand-alone renewable energy power systems, Renew. Sustain. Energy Rev. 2016, 66, pp: 174–189.
[3] Kuperman A and Aharon I, Battery-ultracapacitor hybrids for pulsed current loads: A review, Renew. Sustain. Energy Rev. 2011, 15: 981– 992.
[4] Dougal RA, Liu S, and White RE, Power and life extension of battery-ultracapacitor hybrids, IEEE Trans. Components Packag. Technol 2002., 25: 120–131.
[5] Kuperman A, Aharon I, Malki S, and Kara A, Design of a semiactive battery-ultracapacitor hybrid energy source, IEEE Trans. Power Electron.2013, 28: 806–815.

Monday 13 July 2020

A Unity Power Factor Converter with Isolation for Electric Vehicle Battery Charger


ABSTRACT:  
This paper deals with a unity power factor (UPF) Cuk converter EV (Electric Vehicle) battery charger having a high frequency transformer isolation instead of only a single phase front end converter used in vehicle's conventional battery chargers. The operation of the proposed converter is defined in various modes of the converter components i.e. DCM  (Discontinuous Conduction Mode) or CCM (Continuous Conduction Mode) along with the optimum design equations. In this way, this isolated PFC converter makes the input current sinusoidal in shape and improves input power factor to unity. Simulation results for the proposed converter are shown for charging a lead acid EV battery in constant current constant voltage (CC-CV) mode. The rated full load and varying input supply conditions have been considered to show the improved power quality indices as compared to conventional battery chargers. These indices follow the international IEC 61000-3-2 standard to give harmonic free input parameters for the proposed circuit.
KEYWORDS:
1.      UPF Cuk Converter
2.      Battery Charger
3.      Front end converter
4.      CC-CV mode
5.      IEC 61000-3-2 standard
SOFTWARE: MATLAB/SIMULINK

CIRCUIT DIAGRAM:



Fig. 1 General Schematic of an EV Battery Charger with PFC CUK Converter

EXPERIMENTAL RESULTS:





Fig.2 Simulated performance of the isolated Cuk converter in rated condition
(a) rated input side and output side quantities (b-c) harmonic analysis of the
current at source end




Fig.3 Simulated performance of the isolated Cuk converter while input is
varied to 270V (a) rated input side and output side quantities (b-c) harmonic
analysis of the current at source end






Fig.4 Simulated performance of the isolated Cuk converter while input is
reduced to 270V (a) rated input side and output side quantities (b-c) harmonic
analysis of the current at source end



Fig.5 Simulated performance of the isolated Cuk converter at light load
condition (a) rated input side and output side quantities (b-c) harmonic analysis
of the current at source end

CONCLUSION:
An isolated Cuk converter based battery charger for EV with remarkably improved PQ indices along with wellregulated battery charging voltage and current has been designed and simulated. The converter performance has been found satisfactory and well within standard for rated as well as different varying input rms value of supply voltages. The considerably improved THD in the current at the source end makes the proposed system an attractive solution for efficient charging of EVs at low cost.
The proposed UPF converter performance has been tested to show its suitability for improved power quality based charging of an EV battery in CC-CV mode. Moreover, the cascaded dual loop PI controllers are tuned to have the smooth charging characteristics along with maintaining the low THD in mains current. The proposed UPF converter topology have the inherent advantage of low ripples in input and output side due to the added input and output side inductors. Therefore, the life cycle of the battery is increased. MATLAB based simulation shows the performance assessment of the proposed charger for the steady state and dynamics condition which clearly state that the proposed charger can sustain the sudden disturbances in supply for charging the rated EV battery load. Moreover, during whole disturbances in supply voltage, thepower quality parameters at the input side, are maintained within the IEC 61000-3-2 standard and THD is also very low.
REFERENCES:
[1] Limits for Harmonics Current Emissions (Equipment current ≤ 16A per Phase), International standards IEC 61000-3-2, 2000.
[2] Muhammad H. Rashid, “Power Electronics Handbook, Devices, Circuits, and Applications”, Butterworth-Heinemann, third edition, 2011.
[3] N. Mohan, T. M. Undeland, and W. P. Robbins, Power Electronics: Converters, Applications and Design. Hoboken, NJ, USA: Wiley, 2009.
[4] B. Singh, S. Singh, A. Chandra and K. Al-Haddad, “Comprehensive Study of Single-Phase AC-DC Power Factor Corrected Converters With High-Frequency Isolation”, IEEE Trans. Industrial Informatics, vol. 7, no. 4, pp. 540-556, Nov. 2011.
[5] A. Abramovitz K. M. Smedley "Analysis and design of a tapped-inductor buck–boost PFC rectifier with low bus voltage" IEEE Trans. Power Electron., vol. 26 no. 9 pp. 2637-2649 Sep. 2011.

Sunday 12 July 2020

Speed Controller of Switched Reluctance Motor


ABSTRACT:  
Fuzzy logic control has become an important methodology in control engineering. The paper proposes a Fuzzy Logic Controller (FLC) for controlling a speed of SRM drive. The objective of this work is to compare the operation of P& PI based conventional controller and Artificial Intelligence (AI) based fuzzy logic controller to highlight the performances of the effective controller. The present work concentrates on the design of a fuzzy logic controller for SRM speed control. The result of applying fuzzy logic controller to a SRM drive gives the best performance and high robustness than a conventional P & PI controller. Simulation is carried out using matlab simulink.

KEYWORDS:
1.      P Controller
2.      PI Controller and Fuzzy Logic Controller
3.      Switched Reluctance Motor

SOFTWARE: MATLAB/SIMULINK

 BLOCK DIAGRAM:



Fig. 1 Block diagram of SRM speed control.


 EXPERIMENTAL RESULTS:




Figure 2. Output flux.



Figure 3. Output current.


Figure 4. Output torque.



Figure 5. Speed.



Figure 6. Output flux.



Figure 7. Output current.



Figure 8. Output torque



Figure 9. Speed.


Figure 10. Output flux.



Figure 11. Output current.


Figure 12. Output torque.



Figure 13. Speed.

CONCLUSION:
Thus the SRM dynamic performance is forecasted and by using MATLAB/simulink the model is simulated. SRM has been designed and implemented for its speed control by using P, PI controller and AI based fuzzy logic controller. We can conclude from the simulation results that when compared with P & PI controller, the fuzzy Logic Controller meet the required output. This paper presents a fuzzy logic controller to ensure excellent reference tracking of switched reluctance motor drives. The fuzzy logic controller gives a perfect speed tracking without overshoot and enchances the speed regulation. The SRM response when controlled by FLC is more advantaged than the conventional P& PI controller.
REFERENCES:
1. Susitra D, Jebaseeli EAE, Paramasivam S. Switched reluctance generator - modeling, design, simulation, analysis and control -a comprehensive review. Int J Comput Appl. 2010; 1(210):975–8887.
2. Susitra D., Paramasivam S. Non-linear flux linkage modeling of switched reluctance machine using MVNLR and ANFIS. Journal of Intelligent and Fuzzy Systems. 2014; 26(2):759–768.
3. Susitra D, Paramasivam S. Rotor position estimation for
a switched reluctance machine from phase flux linkage.
IOSR–JEEE. 2012 Nov–Dec; 3(2):7.
4. Susitra D, Paramasivam S. Non-linear inductance modelling of switched reluctance machine using multivariate non- linear regression technique and adaptive neuro fuzzy inference system. CiiT International Journal of Artificial Intelligent Systems and Machine Learning. 2011 Jun; 3(6).
5. Ramya A, Dhivya G, Bharathi PD, Dhyaneshwaran R, Ramakrishnan P. Comparative study of speed control of 8/6 switched reluctance motor using pi and fuzzy logic controller. IJRTE; 2012.