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i-manager's Journal on Electrical Engineering (JEE)

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Design and Analysis of Improved Mountain Gazelle Optimization Tuned PID and FOPID Controllers for PV MPPT System
Performance Analysis of Power System Dynamics with Facts Controllers: Optimal Placement and Impact of SSSC and STATCOM
Empowering Hybrid EVS with Bidirectional DC - DC Converter for Seamless V2G and G2V Integration
Solar Wireless Charging of Battery in Electrical Vehicle
Advancements in Multilevel Inverter Technologies for Photovoltaic-Z-Source Based EV Applications: A Comprehensive Analysis and Future Directions

Most Cited

Volume 10 Issue 2 October - December 2016

Research Paper

Effect of Ambient Conditions on Performance of Power Transformers

Chilaka Ranga* , Ashwani Kumar Chandel, Rajeevan Chandel*

* Research Scholar, Department of Electrical Engineering, National Institute of Technology, Hamirpur, Himachal Pradesh, India.

Professor, Department of Electrical Engineering, National Institute of Technology, Hamirpur, Himachal Pradesh, India.

* Professor, Department of Electronics and Communication Engineering, National Institute of Technology, Hamirpur, Himachal Pradesh, India.

Ranga, C., Chandel, A.K., and Chandel, R. (2016). Effect of Ambient Conditions on Performance of Power Transformers. i-manager’s Journal on Electrical Engineering, 10(2), 1-8. https://doi.org/10.26634/jee.10.2.8321

Abstract

Effect of ambient conditions on oil impregnated paper insulation is detrimental for an extensive performance of power transformers. In this paper, effect of load, moisture and ambient temperature on the dielectric properties of transformers have been investigated using a multi-regression technique. The proposed technique incorporates the data obtained from several diagnostic tests of transformers. Oil samples collected from different transformers owned by Himachal Pradesh State Electricity Board, India have been tested and analyzed using the proposed method. It has been observed from the analysis that the effect of moisture content on the transformers’ performance is much higher than the effect of load and ambient conditions. The present analysis estimates the oil temperature as per the expected load and ambient temperatures. It facilitates the operating schedule for transformers to improve their service life time.

References

[1]. Raj Kumar Patel and V.K. Giri, (2015). “Fault Classification of Induction Motor Bearing Using Statistical Features and Artificial Neural Network”. i-manager's Journal on Electrical Engineering, Vol. 9, No. 2, Print ISSN 0973-8835, E-ISSN 2230-7176, pp. 41-48.

[2]. P. Ramana, K. Alice Mary, M. Surya Kalavathi, and A. Swathi, (2015). “Parameter Estimation of Permanent Magnet Synchronous Motor-A Review”. i-manager's Journal on Electrical Engineering, Vol. 9, No. 2, Print ISSN 0973-8835, E-ISSN 2230-7176, pp. 49-59.

[3]. R. Villarroel, and D.F. Garcia, (2015). “Moisture diffusion coefficients of transformer pressboard insulation impregnated with natural esters”. IEEE Trans. on Diele. and Electr. Insul., Vol. 22, No. 1, pp. 581-589.

[4]. G.K. Frimpong, T.V. Ommen, and R. Asano, (2011). “A survey of aging characteristics of cellulose insulation in natural ester and mineral oil”. IEEE Electr. Insul. Mag., Vol. 27, No. 2, pp. 36-48.

[5]. R. Karthik, T. Raja, and T. Sudhakar, (2013). “Deterioration of solid insulation for thermal degradation of transformer oil”. Central Euro. Jour. of Engi., Vol. 3, No. 2, pp. 226-232.

[6]. A.T. Mohamed, (2015). “Experimental enhancement for dielectric strength of polyethylene insulation materials using cost-fewer nano-particles”. Elect. Pow. and Ener. Sys., Vol. 64, pp. 469–475.

[7]. H. De Faria, Jr., et al., (2015). “A review of monitoring methods for predictive maintenance of electric power transformers based on dissolved gas analysis”. Rene. and Sust. Ener. Rev., Vol. 46, pp. 201–209.

[8]. D. Urquiza, et al., (2015). “Statistical study on the reference values of furanic compounds in power transformers”. IEEE Elect. Insul. Mag., Vol. 31, No. 4, pp. 15- 23.

[9]. P. Preetha and M. Joy Thomas, (2014). “Life estimation of electro-thermally stressed epoxy nano-composites”. IEEE Trans. on Dielec. and Elect. Insul., Vol. 21, No. 3, pp. 1154-1160.

[10]. W.G. Li, et al., (2014). “Comparison between the DC and AC breakdown characteristics of dielectric sheets in liquid nitrogen”. IEEE Trans. on Appl. Sup., Vol. 24, No. 6.

[11]. M. Hamzeh, B. Vahidi, and H. Askarian-Abyaneh, (2015). “Reliability evaluation of distribution transformers with high penetration of distributed generation”. Elect. Pow. and Energy Sys., Vol. 73, pp.163–169.

[12]. S. Tang, et al., (2014). “Reliability modelling of power transformers with maintenance outage”. Syst. Sci. & Cont. Eng., Vol. 2, pp. 316–324.

[13]. M.L. Coulibaly, et al., (2013). “Aging behaviour of cellulosic materials in presence of mineral oil and ester liquids under various conditions”. IEEE Trans. on Dielec. and Elect. Insul., Vol. 20, No. 6, pp. 1971-1976.

[14]. T. Leibfried, et al., (2013). “Post-mortem investigation of power transformers–Profile of degree of polymerization and correlation with furan concentration in the oil”. IEEE Trans. on Pow. Del., Vol. 28, No. 2, pp. 886-893.

[15]. K. Franciszek, et al., (2012). “HPLC method for determination of biologically active epoxy-transformers of Treosulfan in human plasma: Pharmacokinetic application”. Journal of Pharm. and Biom. Anal., Vol. 62, pp. 105-113.

[16]. M. Yang, et al., (2013). “Intelligent fault types diagnostic system for dissolved gas analysis of oilimmersed power transformer”. IEEE Trans. on Dielec. and Elect. Insul., Vol. 20, No. 6, pp. 2317 - 2324.

[17]. A. Abu Siada, et al., (2015). “A new fuzzy logic approach to identify power transformer criticality uses dissolved gas-in-oil analysis”. Elect. Pow. and Energy Sys., Vol. 67, pp. 401–408.

[18]. R. Vikal, and V.T. Ingole, (2015). “Decision about criticality of power transformers using whitenization weight functions on DGA caution levels”. Cog. Engi., Vol. 2, No. 1, pp. 11-18.

[19]. D.F. Garcia, et al., (2013). “Determination of moisture diffusion coefficient for oil-impregnated Kraftpaper insulation”. Elect. Pow. and Energy Sys., Vol. 53, pp. 279–286.

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Research Paper

Speed Control of Switched Reluctance Motor with Torque Ripple Reduction Using Fractional Order PID Controller and Cuckoo Search Algorithm

E. Shiva Prasad* , B.V. Sanker Ram**

* Assistant Professor, Department of Electrical and Electronics Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India.

** Professor, Department of Electrical and Electronics Engineering, Jawaharlal Nehru Technological University, Hyderabad, India.

Prasad, E. S., and Ram, B. V. S. (2016). Speed Control of Switched Reluctance Motor with Torque Ripple Reduction Using Fractional Order PID Controller and Cuckoo Search Algorithm. i-manager’s Journal on Electrical Engineering, 10(2), 9-20. https://doi.org/10.26634/jee.10.2.8322

Abstract

The intelligent controller represents a combined performance of both the Fractional Order PID controller (FOPID) and Cuckoo Search Algorithm (CSA). In this paper, an intelligent controller for the speed control of Switched Reluctance Motor (SRM) drive system using multi-objective function is proposed. The innovation of the proposed method users in enhanced probing skills, ensures the cutback of the irrational arbitrary production and exhibits supreme skills in successfully addressing and adapting the intricate optimization issues. The FOPID is offered carte-blanche in tuning the constraints in view of the fact that the order of derivative and integral do not constitute the integers. It may pave the way for further vibrant accomplishment when compared to the conventional PID controller. Now, the CSA optimized the gain parameters of the controllers for the speed error and current error regulation loops of the SRM drive control mechanism. Further, the proposed control algorithm goes a long way in optimizing the commutation angles for bringing down the lofty torque ripples. Based on the proposed algorithm control parameters, the speed control of the SRM drive has been enhanced. The proposed intelligent control technique will be implemented in the MATLAB/Simulink platform.

References

[1]. Nisha Prasad and Shailendra Jain, (2012). “Simulation of Switched Reluctance Motor for Performance Analysis using MATLAB/SIMULINK Environment and use of FPGA for its control”. International Journal of Electrical, Electronics and Computer Engineering, Vol.1, No.1, pp.91-98.

[2]. Ho W.K, S.K Panda, K.W Lim, and F.S Huang, (1998). “Gain-scheduling control of the switched reluctance motor”. International Journal of Control Engineering Practice, Vol. 6, No. 2, pp.181-189.

[3]. Kiran Kumar, G.R.K. Murthy, and S.S. Srinivas Addala, (2014). “Open Loop and Closed Loop Performance of Switched Reluctance Motor with Various Converter Topologies”. International Journal of Power Electronics and Drive System, Vol. 5, No.1, pp.83-92.

[4]. T.V Mahendiran, K. Thanushkodi, and P. Thangam (2012). “Speed Control of Switched Reluctance Motor using New Hybrid Particle Swarm Optimization”. Journal of Computer Science, Vol.8, No.9, pp.1473-1477.

[5]. Gabriel Gallegos-L´ opez, Philip C. Kjaer, and Timothy J E Miller, (1998). “A New Sensorless Method for Switched Reluctance Motor Drives”. IEEE Transactions on Industry Applications, Vol. 34, No. 4, pp. 832-840.

[6]. Maged N.F Nashed, Samia M. Mahmoud, Mohsen Z El-Sherif, and Emad S. Abdel-Aliem, (2014). “Hysteresis Current Control of Switched Reluctance Motor in Aircraft Applications”. International Journal of Power Electronics and Drive System, Vol. 4, No. 3, pp. 376-392.

[7]. Sunita Ch and M.V. Srikanth, (2014). “Modeling and Analysis of 6/4 Switched Reluctance Motor with Torque Ripple Reduction”. IOSR Journal of Electrical and Electronics Engineering, Vol. 9, No. 3, pp. 37-42.

[8]. P. Srinivas and P.V.N Prasad, (2011). “Torque Ripple Minimization of 4 Phase 8/6 Switched Reluctance Motor Drive with Direct Instantaneous Torque Control”. International Journal on Electrical Engineering and Informatics, Vol. 3, No. 4, pp. 488-497.

[9]. Sedghizadeh S., C. Lucas, and H. Ghafoori Fard, (2009). “Sensorless speed control of switched reluctance motor drive using the binary observer with online fluxlinkage estimation”. Iranian Journal of Electrical & Electronic Engineering, Vol. 5, No. 2, pp.143-150.

[10]. A.S Oshaba, E.S Ali, and S.M Abd Elazim, (2014). “Speed Control of Switched Reluctance Motor fed by PV System using Ant Colony Optimization Algorithm”. WSEAS Transactions on Power Systems, Vol. 9, pp. 376-387.

[11]. Loránd Szabó, Rares Terec, Mircea Ruba, and Pavol Rafajdus, (2013). “Detecting and Tolerating Faults in Switched Reluctance Motors”. Universal Journal of Electrical and Electronic Engineering, Vol. 1, No. 2, pp.16- 25.

[12]. Ahmed Tahour, Abdelkader Meroufel, Hamza Abid, and Abdel Ghani Aissaoui, (2008). “Sliding Controller of Switched Reluctance Motor ”. Leonardo Electronic Journal of Practices and Technologies, Vol. 7, No.12, pp.151-162.

[13]. Karakas Ercument and Soner Vardarbasi, (2007). “Speed control of SR motor by self-tuning fuzzy PI controller with artificial neural network”. Sadhana, Vol. 32, No. 5, pp. 587-596.

[14]. K I Hwu, (2009). “Applying POWERSYS and SIMULINK to Modeling Switched Reluctance Motor”, Tamkang Journal of Science and Engineering, Vol.12, No.4, pp.429-438.

[15]. Vikas S., Wadnerkar, G., TulasiRam Das, and A D Rajkumar (2005). “Performance Analysis of Switched Reluctance Motor: Design, Modeling and Simulation of 8/6 Switched Reluctance Motor”. Journal of Theoretical and Applied Information Technology, Vol. 2, No. 3, pp.1118-1124.

[16]. Kiran Srivastava, B.K Singh, K.V Arya, and R.K Singh, (2011). “Simulation and Modeling of 8/6 Switched Reluctance Motor Using Digital Controller”. International Journal of Electronics Engineering, Vol. 3, No. 2, pp. 241- 246.

[17]. Joseph Peter, (2013). “Modeling & Torque Ripple Minimization of Switched Reluctance Motor for High Speed Applications”. International Journal of Science and Modern Engineering, Vol.1, No.10, pp.15-20.

[18]. E. Shiva Prasad, and B.V. Sanker Ram, (2016). “Multi- Objective Optimized controller for torque ripple minimization of switched Reluctance Motor Drive System”. Indian Journal of Science and Technology, Vol. 9, No. 20, pp. 1-10. Retrieved from http://www.indjst.org/index.php /indjst/article/viewFile/91308/69890

[19]. Martin P. Calasan and Vladan P. Vujicic, (2013). “Characteristics of Switched Reluctance Motor Operating in Continuous and Discontinuous Conduction Mode”. Serbian Journal of Electrical Engineering, Vol. 10, No.1, pp. 47-57.

[20]. Horacio Vasquez and Joey K. Parker, (2004). “A new simplified mathematical model for a switched reluctance motor in a variable speed pumping application”. International Journal of Mechatronics, Vol. 14, No. 9, pp.1055-1068.

[21]. Hajatipour Majid and Mohammad Farrokhi, (2008). “Adaptive intelligent speed control of switched reluctance motors with torque ripple reduction”. International Journal of Energy Conversion and Management, Vol. 49, No. 5, pp.1028-1038.

[22]. Dehkordi Behzad Mirzaeian, Amir Parsapoor, Mehdi Moallem, and Caro Lucas, (2011). “Sensorless speed control of switched reluctance motor using brain emotional learning based intelligent controller ”. International Journal of Energy Conversion and Management, Vol. 52, No. 1, pp. 85-96.

[23]. Mademlis Christos and Iordanis Kioskeridis, (2010). “Gain-scheduling regulator for high-performance position control of switched reluctance motor drives”. IEEE Transactions on Industrial Electronics, Vol. 57, No. 9, pp. 2922-2931.

[24]. Wang Shun-Chung and Yi-Hua Liu, (2011). “A modified PI-like fuzzy logic controller for switched reluctance motor drives”. IEEE Transactions on Industrial Electronics, Vol. 58, No. 5, pp.1812-1825.

[25]. Tseng Chwan-Lu, Shun-Yuan Wang, Shao-Chuan Chien, and Chaur-Yang Chang, (2012). “Development of a self-tuning TSK-fuzzy speed control strategy for switched reluctance motor ”. IEEE Transactions on Power Electronics, Vol. 27, No. 4, pp. 2141-2152.

[26]. Wang S.Y, C.L Tseng, and S.C Chien, (2012). “Adaptive fuzzy cerebellar model articulation control for switched reluctance motor drives”. IET Electric Power Applications, Vol. 6, No. 3, pp.190-202.

[27]. B. Ganji, M. Heidarian, and J. Faiz, (2015). “Modeling and analysis of switched reluctance generator using finite element method”. Ain Shams Engineering Journal, Vol. 6, No. 1, pp. 85-93.

[28]. J.E. Muralidhar and P. Varanasi, (2015). “A Progressive Rugged Appearance of Fuzzy Controller Fed Four-switch BLDC Drive”. Procedia Computer Science, Vol. 47, pp.144-152.

[29]. L. Kalaivani, P. Subburaj, and M. Willjuice Iruthayarajan (2013). “Speed control of switched reluctance motor with torque ripple reduction using Nondominated Sorting Genetic Algorithm (NSGA-II)”. Electrical Power and Energy Systems, Vol. 53, pp. 69–77.

[30]. Seyed Abbas Taher, Masoud Hajiakbari Fini, and Saber Falahati Aliabadi, (2014). “Fractional order PID controller design for LFC in electric power systems using imperialist competitive algorithm”. Ain Shams Engineering Journal, Vol. 5, No. 1, pp.121–135.

[31]. Abdelelah Kidher Mahmood and Bassam Fadel Mohammed, (2013). “Design Optimal Fractional Order PID Controller Utilizing Particle Swarm Optimization Algorithm and Discretization Method”. International Journal of Emerging Science and Engineering, Vol. 1, No. 10, pp. 87-92.

[32]. Christos M., and Iordanis K., (2003). “Performance optimization in switched reluctance motor drives with online commutation angle control”. IEEE Transaction on Energy Conversion, Vol.18, pp. 448-457.

[33]. Xin-She Yang and Suash Deb, (2009). “Cuckoo Search via Levy Flights”. In Proceedings of World Congress on Nature & Biologically Inspired Computing, pp.1-7.

[34]. K. Chandrasekaran and Sishaj P. Simon, (2012). “Multi-objective unit commitment problem using Cuckoo search Lagrangian method”. International Journal of Engineering, Science and Technology, Vol. 4, No. 2, pp. 89-105.

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Research Paper

Comparison between FSIG and DFIG wind turbines for wind farm stabilization

K. Sree Latha* , M. Vijaya Kumar**

* Research Scholar, JNTUA, Andhra Pradesh, India.

** Professor, Department of Electrical and Electronics Engineering, JNTU College of Engineering, Andhra Pradesh, India.

Latha, K. S., and Kumar, M.V. (2016). Comparison between FSIG and DFIG wind turbines for wind farm stabilization. i-manager’s Journal on Electrical Engineering, 10(2), 21-26. https://doi.org/10.26634/jee.10.2.8323

Abstract

One of the promising alternative energy sources is the renewable energy sources like wind, solar, etc. Out of the various renewable energy sources, wind energy sector has grown very significantly in India. Generation, utilization and grid penetration of wind energy into the electrical grid is increasing worldwide. As the wind power is fluctuating in nature, it causes stability problems. This paper presents a comparative study on the voltage control capabilities of fixed speed and variable speed induction generators during system disturbance and grid faults. Simulation results show that the DFIG has the capability to control grid voltages and thus is capable of stabilizing the system.

References

[1]. Kenneth E. Okedu, Application of Wind Power Generation In Grid Connected Power System. Ph.D Thesis, Department of Electrical and Electronic Engineering, University of Port Harcourt, Nigeria.

[2]. Wikipedia, (n.d.). Wind Power in India. Retrieved from https://en.wikipedia.org/wiki/ Wind_power_In_India

[3]. Erlich, H. Wrede, and C. Feltes, (2008). “Dynamic Behaviour of DFIG-Based Wind Turbine During Grid Faults”. IEEE.J. Trans., Vol. 128, No 4, pp. 396.

[4]. D. Santos-Martins, S. Arnaltes, and J.L. Rodriguez Amenedo, (2008). “Reactive power capability of doubly fed asynchronous generators”. Electric Power Systems Research, Vol.78, No. 11, pp. 1837-1840.

[5]. B.H. Chowdhury, and S. Chellapilia, (2006). “Doublyfed induction generator control for variable speed wind power generation”. Electric Power System Research, Vol. 76, pp. 786-800.

[6]. Pavlos S. Georgilakis, (2008). “Technical challenges associated with the integration of wind power into power system”. Renewable and Sustainable Energy Reviews, Vol. 12, No. 3, pp. 852-863.

[7]. T.R. Ayodele, et al., (2012). “Challenges of Grid Integration of Wind Power on Power System Grid Integrity: A Review”. International Journal of Renewable Energy Research (IJRER), Vol. 2, No. 4, pp. 618-626.

[8]. M. Guleryuz and A. Demiroren, (2011). “Effects of a wind farm and FACTS devices on static voltage stability of Bursa transmission system in Turkey”. In Environment and th Electrical Engineering (EEEIC), 2011 10 International Conference on, pp. 1- 5.

[9]. A. Petersson, T. Petru, and T. Thiringer, (2003). “Grid Disturbance response of Wind Turbines Equipped with Induction Generator and Doubly-Fed Induction Generator”. In Proceedings of 2003 IEEE PES General Meeting, Toronto, Canada, pp. 13-17.

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Research Paper

Design and Analysis of Traction Drive System for Hybrid Locomotives using 5-Phase Permanent Magnet Synchronous Motors as Traction Motors

C. Nagamani* , R. Somanatham**

* Research Scholar, University College of Engineering, Osmania University, Hyderabad, India.

** Head, Department of Electrical Engineering, Anurag Group of Institutions, Hyderabad, India.

Nagamani, C., and Somanatham, R. (2016). Design and Analysis of Traction Drive System for Hybrid Locomotives using 5-phase Permanent Magnet Synchronous Motors as Traction Motors. i-manager’s Journal on Electrical Engineering, 10(2), 27-45. https://doi.org/10.26634/jee.10.2.8324

Abstract

Retention of Passenger and Freight Trains working on Electric Traction at Stations in the event of Grid Failures / Locomotive Failures cause inconvenience to passengers and delay in delivery of freight, thereby causing losses in revenue. As Traction is a high Power Application, delivery of Power of the order of 1600 kW per Traction Motor would also cause stresses in the Switching Devices in a 3-j Converter System. In order to overcome stress on Switches, a new Drive System using 5-j Inverter driven Permanent Magnet Synchronous Motor as Traction Motors that can run on both Electric and Diesel-Electric Traction is proposed by the authors in this research paper.

References

[1]. C. Nagamani, R. Somanatham, U. Kusuma Kumari, and U. Chaitanya Kumar, (2015). “Permanent Magnet Synchronous Motor as Traction Motors for Diesel-Electric Traction in India”. i-manager's Journal on Electrical Engineering, Vol. 9, No. 2, Print ISSN 0973-8835, E-ISSN 2230-7176, pp. 16-40.

[2]. Indian Railway Magazine, January 2016, pp. 34.

[3]. Ministry of Railways, Government of India. General Services- Train Lighting. IRIEEN, Nashik, India

[4]. Thomas Finken, Marco Hombitzer, and Kay Hameyer, (2010). “Study and Comparison of several Permanent Magnet excited Rotor Types regarding their Applicability in Electric Vehicles”. Emobility Electric Power Train 2010.

[5]. Ramu Krishnan, (2009). Permanent Magnet Synchronous Motor and Brushless DC Motor Drives. CRC Press.

[6]. Toshiba, (2014). Products Brochure on adjustable Speed Drives. Toshiba Japan.

[7]. Ashish Nigam and Subhana Siddiqui, (2010). “Modelling and Simulation of Five-Phase Permanent Magnet Synchronous Motor”. VSRD Technical and Non-Technical Journal, Vol. 1, No. 2, pp. 78-86.

[8]. K. Vinoth Kumar, Prawin Angel Micheal, Joseph P. John, and S. Suresh Kumar, (2010). “Simulation and Comparison of SPWM and SVPWM control for Three-Phase Inverter”. ARPN Journal of Engineering and Applied Sciences, Vol. 5, No. 7, pp. 61-74.

[9]. M. Franko, J. Kuchta, and J. Buday, (2012). “Development and Performace Investigation of Permanent Magnet Synchronous Traction motor ”. International Symposium on Power Electronics, Electrical Drives, Automation and Motion 2012.

[10]. H. Partab, (2012). Modern Electric Traction – Pritam Surat and Bros-2012, India.

[11]. MATLAB Simulink 2014a MathWorks Inc. USA, Feb 2014

[12]. Eco Active Technologies, (2009). MITRAC Hybrid the Dual Power Propulsion Chain. Retrieved from http://www. bombardier.com/content/dam/Websites/bombardierco m/supporting-documents/BT/Bombardier-Transportation- ECO4-MITRAC_Hybrid-EN.pdf

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Research Paper

Comparative Analysis of Different PWM Techniques in a Five Level Inverter

Sumit Kumar Singh* , Ankit Srivastava**

* Guest Faculty, Department of Electrical Engineering, Rajkiya Engineering College, (HBTU Campus), Kannauj, India.

** Guest Faculty, Department of Electrical Engineering, HBTU Kanpur, India.

Singh, S. K., and Srivastava, A.(2016). Comparative Analysis of Different PWM Techniques in Five Level Inverter. i-manager’s Journal on Electrical Engineering, 10(2), 46-52. https://doi.org/10.26634/jee.10.2.8325

Abstract

The multilevel inverter utilization has been increased since the last decade. These new type of inverters are suitable in various high voltage and high power applications due to their ability to synthesize waveforms with better harmonic spectrum and faithful output. This paper analyzes the Total Harmonic Distortion (THD) performance of a three phase 5- level inverter. The five level inverter is configured with RL load for the analysis. Three different Pulse Width Modulation (PWM) schemes are proposed for the analysis of five level inverter. The simulation results are presented to prove that THD is reduced with different Pulse Width Modulation scheme.

References

[1]. J. Rodriguez, J.S. Lai, and F.Z. Peng, (2002). “Multilevel inverters: A survey of topologies, controls, and applications”. IEEE Trans. Ind. Electron., Vol. 49, No. 4, pp. 724–738.

[2]. M. Kavitha, A. Arunkumar, N. Gokulnath, and S. Arun, (2012). “New cascaded H-bridge multilevel inverter topology with reduced number of switches and sources”. JEEE, Vol. 2, No. 6, pp. 26-36.

[3]. K. Jagdish, (2012). “THD Analysis for different levels of cascade multilevel inverter for industrial applications”. IJETAE, pp. 20-30.

[4]. L.G. Franquelo, J. Rodriguez, J.I. Leon, S. Kouro, R. Portillo, and M.A.M. Prats, (2008). “The age of multilevel converters arrives”. IEEE Ind. Electron. Mag., Vol. 2, No. 2, pp. 28–39.

[5]. J.A. Houldsworth and D.A. Grant, (1984). “The use of harmonic distortion to increase the output voltage of a three-phase PWM inverter”. IEEE Trans. Ind. Applicat., Vol. 20, No. 5, pp. 1224– 1228.

[6]. Prof. J.T. Boys, and S.J. Walton, (1985). “A Loss minimised Sinusoidal PWM Inverter”. IEE Proceedings, B - Electric Power Applications, Vol. 132, No. 5, pp. 260-268

. [7]. Madhu Mangal and G. De, (1987). “Novel Control Strategy for Sinusoidal PWM Inverters”. IEEE Transactions on Industrial Electronics, Vol. IA-23, No. 3, pp. 561-566.

[8]. Masato H. Ohsato, Gunji Kimura and Mitsuo Shioya, (1991). “Five-Stepped PWM Inverter used in Photovoltaic Systems”. IEEE Transactions on Industrial Electronics, Vol. 38, No. 5, pp. 393-397.

[9]. Thomas F. Lowery and David W. Petro, (1994). “Application considerations for PWM Inverter-fed Low- Voltage Induction Motors”. IEEE Transactions on Industry Applications, Vol. 30, No. 2.

[10]. Shoji Fukuda and Yoshitaka Iwaji, (1995). “Introduction of the Harmonic Distortion determining Factor and its Application to evaluating Real Time PWM Inverters”. IEEE Transactions on Industry Applications, Vol. 31, No. 1.

[11]. G. Narayanan, Harish K. Krishnamurthy, Rajapandian Ayyanar, and V.T. Ranganathan, (2008). “Space Vector based Hybrid PWM Techniques for Reduced Current Ripple”. IEEE Transactions on Industrial Electronics, Vol. 55, No. 4, pp. 1614-1627.

[12]. Bimbhra, P.S. (n.d.). A Textbook of Power Electronics. Khanna Publishers.

[13]. Rashid, Muhammad H., (1993). Power Electronics: Circuits, Devices and Applications. PHI Publication.

i-manager's Journal on Electrical Engineering (JEE)

Current Issue Vol. 17 Issue 4

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Volume 10 Issue 2 October - December 2016

Effect of Ambient Conditions on Performance of Power Transformers

Chilaka Ranga* , Ashwani Kumar Chandel**, Rajeevan Chandel***

Ranga, C., Chandel, A.K., and Chandel, R. (2016). Effect of Ambient Conditions on Performance of Power Transformers. i-manager’s Journal on Electrical Engineering, 10(2), 1-8. https://doi.org/10.26634/jee.10.2.8321

Abstract

References

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Speed Control of Switched Reluctance Motor with Torque Ripple Reduction Using Fractional Order PID Controller and Cuckoo Search Algorithm

E. Shiva Prasad* , B.V. Sanker Ram**

* Assistant Professor, Department of Electrical and Electronics Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India. ** Professor, Department of Electrical and Electronics Engineering, Jawaharlal Nehru Technological University, Hyderabad, India.

Prasad, E. S., and Ram, B. V. S. (2016). Speed Control of Switched Reluctance Motor with Torque Ripple Reduction Using Fractional Order PID Controller and Cuckoo Search Algorithm. i-manager’s Journal on Electrical Engineering, 10(2), 9-20. https://doi.org/10.26634/jee.10.2.8322

Abstract

References

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Comparison between FSIG and DFIG wind turbines for wind farm stabilization

K. Sree Latha* , M. Vijaya Kumar**

* Research Scholar, JNTUA, Andhra Pradesh, India. ** Professor, Department of Electrical and Electronics Engineering, JNTU College of Engineering, Andhra Pradesh, India.

Latha, K. S., and Kumar, M.V. (2016). Comparison between FSIG and DFIG wind turbines for wind farm stabilization. i-manager’s Journal on Electrical Engineering, 10(2), 21-26. https://doi.org/10.26634/jee.10.2.8323

Abstract

References

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Design and Analysis of Traction Drive System for Hybrid Locomotives using 5-Phase Permanent Magnet Synchronous Motors as Traction Motors

C. Nagamani* , R. Somanatham**

* Research Scholar, University College of Engineering, Osmania University, Hyderabad, India. ** Head, Department of Electrical Engineering, Anurag Group of Institutions, Hyderabad, India.

Nagamani, C., and Somanatham, R. (2016). Design and Analysis of Traction Drive System for Hybrid Locomotives using 5-phase Permanent Magnet Synchronous Motors as Traction Motors. i-manager’s Journal on Electrical Engineering, 10(2), 27-45. https://doi.org/10.26634/jee.10.2.8324

Abstract

References

Full Article (HTML)

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Comparative Analysis of Different PWM Techniques in a Five Level Inverter

Sumit Kumar Singh* , Ankit Srivastava**

* Guest Faculty, Department of Electrical Engineering, Rajkiya Engineering College, (HBTU Campus), Kannauj, India. ** Guest Faculty, Department of Electrical Engineering, HBTU Kanpur, India.

Singh, S. K., and Srivastava, A.(2016). Comparative Analysis of Different PWM Techniques in Five Level Inverter. i-manager’s Journal on Electrical Engineering, 10(2), 46-52. https://doi.org/10.26634/jee.10.2.8325

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Chilaka Ranga* , Ashwani Kumar Chandel, Rajeevan Chandel*

* Assistant Professor, Department of Electrical and Electronics Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India.

** Professor, Department of Electrical and Electronics Engineering, Jawaharlal Nehru Technological University, Hyderabad, India.

* Research Scholar, JNTUA, Andhra Pradesh, India.

** Professor, Department of Electrical and Electronics Engineering, JNTU College of Engineering, Andhra Pradesh, India.

* Research Scholar, University College of Engineering, Osmania University, Hyderabad, India.

** Head, Department of Electrical Engineering, Anurag Group of Institutions, Hyderabad, India.

* Guest Faculty, Department of Electrical Engineering, Rajkiya Engineering College, (HBTU Campus), Kannauj, India.

** Guest Faculty, Department of Electrical Engineering, HBTU Kanpur, India.