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

Current Issue Vol. 17 Issue 4

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 6 Issue 3 January - March 2013

Research Paper

Investigation on Symmetrical Three Phase Hybrid Cascaded Multilevel Inverter With Reduced Number of Switches

V. Vidhya* , C. R. Balamurugan, S. P. Natarajan*

PG Student, Department of EEE, Arunai Engineering College, Tiruvannamalai, India.

Department of EEE, Arunai Engineering College, Tiruvannamalai, India.

Department of EIE, Annamalai University, Chidambaram, India.

Vidhya, V., Balamurugan, C. R., and Natarajan, S. P. (2013). Investigation on Symmetrical Three Phase Hybrid Cascaded Multilevel Inverter with Reduced Number of Switches. i-manager’s Journal on Electrical Engineering, 6(3), 1-10. https://doi.org/10.26634/jee.6.3.2174

Abstract

This work proposes investigation on symmetrical three phase hybrid cascaded multilevel inverter topology with reduced number of switches and is able to create five level output. The main advantage of the proposed work is to reduce the number of switches when compared to the Cascaded Multi Level Inverter (CMLI). The reduced number of switches reduces the switching losses and improves the efficiency of the inverter. The variation of Total Harmonic Distortion (THD) in the inverter output voltage is observed for various modulation indices. Simulation is performed using MATLAB-SIMULINK. By comparing the various PWM techniques, such as COPWM-1, COPWM-2, COPWM-3 and COPWM-4, it is observed that Carrier Overlapping Pulse Width Modulation-3 (COPWM-3) provides output with relatively low distortion for all strategies and better DC bus utilization is obtained in (COPWM-1) and also comparing the various variable amplitude techniques, such as VACOPWM-1, VACOPWM-2, VACOPWM-3 and VACOPWM-4, it is observed that Variable Amplitude Carrier Overlapping Pulse Width Modulation-3 (VACOPWM-3) provides output with relatively low distortion for all strategies and better DC bus utilization. Finally comparing the various PWM techniques with the various variable amplitude techniques, It is observed that Variable Amplitude Carrier Overlapping Pulse Width Modulation-3 (VACOPWM-3) provides output with relatively low distortion for all strategies and better DC bus utilization is obtained in (VACOPWM-2).

References

[1]. Corzine, K.A., Wielebski,M.W., Peng, F.Z & Wang, J. (2003). Control of Cascaded Multi-Level Inverters. IEEE Conference:0-7803-7817-2/03/2003, 1549-1555.

[2]. Radan, A., Shahirinia, A.H & Falahi, M. (2007). Evaluation of Carrier-Based PWM Methods for Multi-level Inverters. IEEE Conference: 1-4244-0755-9/07/2007, 389-394.

[3]. Arab Tehrani, K., Andriatsioharana, H., Rasoanarivo, I & Sargos, F.M. (2008). A Novel Multilevel Inverter Model. IEEE Conference: 978-1-4244-1668-4/08/2008, 1688-1693.

[4]. Lezana, P., Rodríguez, J & Oyarzún, D.A. (2008, March). Cascaded Multilevel Inverter With Regeneration Capability and Reduced Number of Switches. IEEE Transactions on Industrial Electronics, 55(3), 1059-1066.

[5]. Santhi. B & Natarajan, S.P. (2008, December). Carrier Overlapping PWM methods for Single Phase Cascaded Multilevel Inverter. International Journal of Science and Techniques of Automatic Control and Computer Engineering, IJ-STA, special Issue, CEM, 590-601.

[6]. Pan, Z & Peng, F.Z. (2009). A Sinusoidal PWM Method With Voltage Balancing Capability for Diode-Clamped Five-Level Converters. IEEE Transactions On Industry Applications, 45(3), 1028-1034.

[7]. Caballero, D.R., Martinez, L., Ramos, R & Mussa, S.A. (2009). New Asymmetrical Hybrid Multilevel Voltage Inverter. IEEE Conference, 978-1-4244-3370-4/09/2009, 354-361.

[8]. Konstantinou, G.S., & Agelidis, V.G.(2009). Performance Evaluation of Half-Bridge Cascaded Multilevel Converters Operated with Multicarrier Sinusoidal PWM Techniques. IEEE Conference, 978-1-4244-2800-7/09/2009, 3399-3404.

[9]. Ramkumar, S., Thamizharasan, S & Kamaraj, V. (2009). A Novel Variable Amplitude Carrier Band Control Strategy for Single Phase Cascaded Sources Inverter. IEEE Conference, 978-1-4244-3557-9/09/2009, 373-376.

[10]. Konstantinou,Pulikanti & Agelidis, (2010). Harmonic Elimination Control of a Five-Level DC-AC Cascaded H-bridge Inverter. IEEE Conference, 978-1-4244-5670-3/10/2010, 352-357.

[11]. Malinowski, M., Gopakumar, K., Rodriguez, J & Pérez, A.M. (2010, July). A Survey on Cascaded Multilevel Inverters. IEEE transactions on Industrial Electronics, 57(7), 2197-2206.

[12]. Caballero, D.R., Sanhueza, R & Heldwein, M.L. (2011). Symmetrical hybrid multilevel inverter concept based on multi-stage switching cells. IEEE Conference, 978-4577-1646-1/11/2011, 776-781.

[13]. Najafi, E & Mohamed Yatim, A.H. (2012). Design and Implementation of a New Multilevel Inverter Topology. IEEE Transactions on Industrial Electronics, 59(1), 4148-4154.

[14]. Balamurugan, C.R., Natarajan, S.P & Bensraj, R. (2012, June). Comparative Study on Carrier Overlapping PWM Strategies for Three Phase Five Level Cascaded Inverter. International Journal of Computer Applications, 48(6), 20-28.

[15]. Roshankumar, P., Rajeevan, P.P., Mathew, K., Gopakumar, K., Leon, J & Franquelo, L.G. (2012, August). A Five Level Inverter Topology with Single – DC Supply by Cascading a Flying Capacitor Inverter and an H-Bridge. IEEE Transactions on Power Electronics, 27(8), 3505-3512.

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Research Paper

Analysis of Temperature Field in Switched Reluctance Machine Based on Regression Technique

Annie elisabeth jebaseeli* , S.Paramasivam**

* Department of Electrical and Electronics Engineering, Sathyabama University, Chennai.

** R&D Head, ESAB, Chennai.

Jebaseeli, E. A. E., and Paramasivam, S. (2013). Analysis of Temperature Field in Switched Reluctance Machine Based on Regression Technique. i-manager’s Journal on Electrical Engineering, 6(3), 11-15. https://doi.org/10.26634/jee.6.3.2175

Abstract

This paper presents a novel method for the determination of temperature rise in rotating electrical machine. Rise in the winding temperature was determined from the estimated values of winding resistance during the heat run test conducted as per IEC standard. The estimation of hot resistance was modeled using multiple variable linear regression . The modeled hot resistance helps to find the load losses at any load situation without using complicated measurement set –up. This technique was applied for the hot resistance estimation for Switched Reluctance Machine using the input variables as cold resistance, ambient temperature and temperature rise. The results are compared and they show a good agreement between measured and the computed values. The proposed method was verified using experimental results obtained from temperature rise test on a 2 H.P 8/6 Switched Reluctance Machine.

References

[1]. Aldo Boglietti, Andrea Cavagnino, David staton &Martin Shanel (2009). Evolution and Modern Approaches for Thermal Analysis of Electrical Machines. IEEE Trans. Industrial Electronics. Vol.56, no.3, pp.871-882.

[2]. Alexey Matveev. (2006). Development of Methods, Algorithms and Software for optimal design of Switched reluctance drives. Doctoral Thesis, Eindhoven Technische Universiteit, Eindhoven.

[3]. Balamurugan & P.Sumathi (2004). Analysis of Temperature Rise in Switched Reluctance Motor Due to the Core and Copper Loss by Coupled Field Finite Element analysis. Proc. Of International conference on Power System Technology – POWERCON 2004, pp.630-634.

[4]. D.S.B. Fonseca, C.M.P. Cabrita & M.R.A.Calado (2006). Thermal Modelling and characterization of Electrical machines and calculation of current ratings. in Proc. of Fourth IET conference on power electronics, Machines and Drives, pp.475-479.

[5]. A.K.Sawhney& A.Chakrabarti (2006). A course in Electrical machine Design.

[6]. Shingo Inamura, Tomokazu Sakai & Koichiro Sawa (2003). A Temperature Rise Analysis of Switched Reluctance Motor Due to the Core and Copper Loss by FEM. IEEE Trans. Magnetics. Vol. 39, No.3, pp. 1554-1557.

[7]. K.N. Srinivas and R. Arumugam (2005). Analysis and Characterization of Switched Reluctance Motor : Part II- Flow, Thermal, and Vibration Analyses. IEEE Trans. Magn, Vol. 41, No.4 .

[8]. Srinivasan, M., and A. Krishnan (2012). Hot resistance Estimation for Dry Type Transformer using MVR,MPR and soft computing techniques. American Journal of Applied Sciences, pp. 231-237.

[9]. K. Vijayakumar, R. Karthikeyan, S. Paramasivam , R. Arumugam, & K.N. Srinivas (2008). Switched Reluctance Motor Modeling, Design, Simulation, and Analysis: A Comprehensive Review. IEEE Trans. Magn., Vol. 44, No.12, pp. 4605-4616,

[10]. www.wikipedia.com

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Research Paper

Simulation and Performance of Matrix Converter with Faulty Conditions

Sankar S* , Saravana Kumar S, M. Padmarasan*

- Faculty in Department of EEE, Panimalar Institute of Technology, Chennai, Tamil Nadu, India.

Faculty in Department of IT, Panimalar Institute of Technology, Chennai, Tamil Nadu ,India.

Sankar, S., Saravanakumar, S., and Padmarasan, M. (2013). Simulation and Performance of Matrix Converter with Faulty Conditions. i-manager’s Journal on Electrical Engineering, 6(3), 16-20. https://doi.org/10.26634/jee.6.3.2176

Abstract

This paper presents a matrix converter for power flow management. The matrix converter has several advantages over traditional rectifier-inverter type power frequency converters. It provides sinusoidal input and output waveforms, with minimal higher order harmonics and no sub harmonics. The matrix converter having the ability to generate multilevel output voltages, this converter is able to produce better quality output waveforms than conventional matrix converter in terms of harmonic content. This paper gives the performance of a matrix converter and the qualitative analysis of some performance parameters is carried out. Some numerical results based on a simulation model of a matrix converter system are also presented. The simulations results of different load conditions are presented .The open loop controlled system is simulated and the waveform output is predicted at various conditions.

References

[1]. P.W. Wheeler, J. Rodriguez, J.C. Clare, L. Empringham, and A. Weinstein (April 2010). "Matrix Converters: A Technology Review," in IEEE Trans. On Industrial Electronics, Vol. 49, No. 2.

[2]. M. Venturini and A. Alesina (2010). The Generalized Transformer: A New Bidirectional Sinusoidal Waveform Frequency Converter With Continuously Adjustable Input Power Factor pp. 242-252.

[3]. P. W. Wheeler and J. C. Clare (2009), Introduction to Matrix Converter Technology, in IEEE Industrial Electronics Conference (IECON), Tutorial CD-ROM.

[4]. P. Nielsen, F. Blaabjerg, and J.K. Pedersen (2011), “New Protection Issues of a Matrix Converter: Design Considerations for Adjustable-Speed Drives,” in IEEE Trans. On Industry Applications, Vol. 35, No. 5.

[5]. J. Mahlein, M. Bruchmann, and M. Braun (2011), Passive Protection Strategy for a Drive System with a Matrix Converter and an Induction Machine, in IEEE Trans. On Industrial Electronics, Vol. 49, No. 2.

[6]. A. Schuster (2011), A Matrix Converter without Reactive Clamp Elements for an Induction Motor Drive System,” in PESC 98, Vol. 1, 17-22, pp. 714-720.

[7]. R.H. Lasseter, and P. Paigi (2010), Micro grid: A Conceptual Solution, Proceedings of the 2010 Power Electronics Specialists Conference (PESC'04). Vol. 6, pp.4285-4290.

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Research Paper

Design and Simulation of AC to DC Single Stage Converter for Low Voltage Application

Honey Susan Eldo* , Dhayalini K**

* PG Scholar, Department of EEE, J.J. College of Engineering and Technology, Trichy, India.

** Professor, Department of EEE, J.J. College of Engineering and Technology, Trichy, India.

Eldo, H. S., and Dhayalini, K. (2013). Design and Simulation of AC to DC Single Stage Converter for Low Voltage Application. i-manager’s Journal on Electrical Engineering, 6(3), 21-29. https://doi.org/10.26634/jee.6.3.2177

Abstract

In this paper, an ac/dc converter is presented that can boost very low ac voltages to a higher dc voltage. The converter is based on a new hybrid form of boost converter and a buck boost converter and it is suitable for power harvesting applications too. The measured prototype can supply 3.3V by converting an input voltage of 400mV delivered by an electromagnetic microgenerator. Detailed analysis of converter is carried out and based on that control schemes are proposed to operate the converter.

References

[1]. S. Meninger, J. O. Mur-Miranda, R. Amirtharajah, A. P. Chandrakasan, and J. H. Lang, (2001). “Vibration-to-electric energy conversion,” IEEE Trans. Very Large Scale Integr. Syst., Vol. 9, No. 1, pp. 64–76, Feb.

[2]. Suman Dwari and Leila Parsa, (2010). ”An Efficient AC/DC Step Up Converter for Low Voltage Energy Harvesting”,IEEE Trans On Power Electronics Vol .25, No.8, Aug.

[3]. J.C. Salmon, (1993). “Circuit topologies for single-phase voltage-doubler boost rectifiers,” IEEE Trans. Power Electron., Vol. 8, No. 4, pp. 521–529, Oct.

[4]. S. Dwari, R. Dayal, and L. Parsa, (2008). “A novel direct AC/DC converter for efficient low voltage energy harvesting,” in Proc. IEEE Ind. Electron. Soc. Annu. Conf., Nov., pp. 484–488.

[5]. M. Ferrari, V. Ferrari, D. Marioli, and A. Taroni, (2006). “Modeling, fabrication and performance measurements of a piezoelectric energy converter for power harvesting in autonomous microsystems,” IEEE Trans. Instrum. Meas., Vol. 55, No. 6, pp. 2096–2101, Dec.

[6]. G.K. Ottman, H. F. Hofmann, and G. A. Lesieutre, (2003). “Optimized piezoelectric energy harvesting circuit using step-down converter in discontinuous conduction mode,” IEEE Trans. Power Electron., Vol. 18, No. 2, pp. 696– 703, Mar.

[7]. E. Lefeuvre, D. Audigier, C. Richard, and D. Guyomar, (2007). “Buck-boost converter for sensorless power optimization of piezoelectric energy harvester,” IEEE Trans. Power Electron., Vol. 22, No. 5, pp. 2018–2025, Sep.

[8]. B.H. Stark, P. D. Mitcheson, M. Peng, T.C. Green, E. Yeatman, and A. S. Holmes, (2006). “Converter circuit design, semiconductor device selection and analysis of parasitics for micropower electrostatic generators,” IEEE Trans. Power Electron., Vol. 21, No. 1, pp. 27–37, Jan.

[9]. J. Elmes, V. Gaydarzhiev, A.Mensah, K. Rustom, J. Shen, and I. Batarseh, (2007). “Maximum energy harvesting control for oscillating energy harvesting systems,” in Proc. IEEE Power Electron. Spec. Conf., Jun., pp. 2792–2798.

[10]. P.D.Mitcheson, T. C. Green, E.M.Yeatman, and A. S. Holmes, (2004). “Architectures for vibration-driven micropower generators,” J. Microelectromech. Syst., Vol. 13, No. 3, pp. 429–440, Jun. 2004.

[11]. B.H. Stark, P.D. Mitcheson, M. Peng, T. C. Green, E. Yeatman, and A. S. Holmes, (2006). “Converter circuit design, semiconductor device selection and analysis of parasitics for micropower electrostatic generators,” IEEE Trans. Power Electron., Vol. 21, No. 1, pp. 27–37, Jan. 2006.

[12]. N.G. Stephen, (2006). “On energy harvesting from ambient vibration,” J. Sound Vibrations, Vol. 293, pp. 409–425, 2006.

[13]. M. El-Hami, P. Glynne-Jones, N. M. White, M. Hill, S. Beeby, E. James, A. D. Brown, and J. N. Ross, (2001). “Design and fabrication of a new vibrationbased electromechanical power generator,” Sens. Actuators A: Phys., vol. 92, pp. 335–342, 2001.

[14]. A. Richelli, L. Colalongo, S. Tonoli, and Z.M. Kov´acs-Vajna, (2009). “A 0.2?1.2 VDC/DC boost converter for power harvesting applications,” IEEE Trans. Power Electron., Vol. 24, No. 6, pp. 1541–1546, Jun. 2009.

[15]. P.D. Mitcheson, T.C. Green, E.M. Yeatman, and A.S. Holmes, (2007). “Power processing circuits for electromagnetic, electrostatic and piezoelectric inertial energy scavengers,” Microsyst. Technol., Vol. 13, pp. 1629–1635, May 2007.

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Research Paper

Clearing of Three Phase SC, LG & OC Faults in Multi Bus System using SSCB

KALAI MURUGAN* , R. R. Prabu**

*Research Scholar, Sathyabama University, Chennai, India.

** Professor, B.S. Abdur Rahman University, Chennai, India.

Murugan, A. K., and Prabu, R. R., (2013). Clearing of Three Phase SC, LG & OC Faults in Multi Bus System Using SSCB. i-manager’s Journal on Electrical Engineering, 6(3), 30-36. https://doi.org/10.26634/jee.6.3.2178

Abstract

Because of increased distributed energy generation in medium voltage systems, handling of short circuits becomes problematic as the short circuit power is increased. Hence in future classical mechanical circuit breakers which are being used for the protection of power system and its components from the abnormal conditions will not be able to handle the fault current. It has already proven that the usage of power semiconductor devices could lead to reduced current values and voltage distortion during a short circuit failure. The Solid State Circuit Breakers, based on modern high power semiconductors, offer enormous advantages when compared to mechanical circuit breaker with respect to speed and life. This increases the voltage quality and also improves the transient stability during short circuit as the Solid State Circuit Breakers works faster than the conventional mechanical circuit breaker. A new topology developed for SSCB can be used to protect the power system to enhance reliability. This paper presents different three phase fault analysis of a power system with Solid State Circuit Breaker to estimate the performance of the SSCB during abnormal conditions. The simulations on the model two bus system have been performed to access the effectiveness of SSCB during faults. It is shown that SSCB is an effective choice which can replace the existing mechanical circuit breaker. The results of three phase short circuit, Line to Ground and open Circuit faults are presented.

References

[1]. L .Klingbeil, W. Kalkner, (2001). “Fast acting Solid-State Circuit Breaker Using State-of-the-Art Power-Electronic Devices,” in Proc. Eur. Conf. Power Electron. Applicat .(EPE), Graz, Austria,

[2]. R.K. Smith et al., (1993). “Solid State Distribution Current Limiter and Circuit Breaker: Application Requirements and Control Strategies,” IEEE Trans. Power Delivery, vol. 8, no. 3, pp. 1155-1164, Jul,

[3]. A. Ekstrom, P. Bennich, M. De Oliveira,and A.Wilkstrom, (2001). “Design and Control of a Current-Controlled Current Limiting Device,” in Proc, EPE'01 Conf., Graz, Austria,

[4]. S. Sugimoto, S. Neo, H. Arita, J. Kida, Y. Matsui, and T. Yamagiwa, (1996). “Thyristor Controlled Ground Fault Current Limiting System for Ungrounded Power Distribution Systems,” IEEE Trans. Power Delivery, Vol. 11, No. 2, pp. 940-945, Apr.

[5]. J. W. Schwartzenberg and R. W. De Doncker, “15 kV Medium Voltage Static Transfer Switch,” in Proc. IEEE 30th Ind. Applicat. Soc. Annu. Meeting, Vol. 3, Oct. 8-12, pp. 2515-2520.

[6]. M. Meyer, (1974). “Selbstgefuhrte Thyristor-Stromrichter,” Tech. Rep.,Siemens AG,

[7]. C. Meyer, S.Schroder, and R. W. De Doncker, (2004). “Solid-State Circuit Breakers and Current Limiters for Medium-Voltage Systems Having Distributed Power Systems,” IEEE Trans. Power Electron, Vol. 19, No. 5, pp. 1333-1340,Sep.

[8]. K. Kunde, M. Kleimaier, L.Klingbeil, H. J. Hermann, C. Neumann, and J.Patzhold, (2003). “Integration of Fast Acting Electronic Fault Current Limiters (Efcl) In Medium-Voltage Systems,” in Proc. 17th Int. Conf. Electricity Distribution (CIRED), Spain, pp. 148-152.

[9]. C. Meyer, S.Schroder, and R. W. De Doncker, (2003). “Integration of Solid State Switches Into Medium-Voltage Grids,” in Proc. Eur. Conf. Power Electron. Applicat. (EPE'03), Toulouse, France.

[10]. G. Celli, F.Pilo, R. Sannais, and M. Tosi, (2000), “A Custom Power Protection Device Controlled by a Neural Network Relay,” in Proc. IEEE Power Electron. Soc. Summer Meeting, Seattle, WA, Jul. 16-20, pp. 1384-1389.

[11]. B. Cannas, G. Celli, A. Fanni, and F. Pilo: (2001). Automated recurrent neutral network design of a neutral controller in a custom power device, J. Intell. Robot. Syst., No. 31, pp. 229-251.

[12]. Richard F.Schmerda, Slobodan Krstic, Edward L.Wellner and Ashish R.Bendre (2009), “ IGCTs vs. IGBTs for Circuit Breakers in Advanced Ship Electrical Systems”, in Proc. IEEE conference on Electric Ship Technologies, WI, April, 20-22, pp. 400-405.

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Research Paper

Application Of Differential Evolution Technique For Short Term Hydrothermal Scheduling And Its Comparision With Other Meta Heuristic Search Algorithms

S.Padmini* , C. Christober Asir Rajan**

* Research Scholar, SRM University, Chennai, India.

** Associate Professor, Pondichery Engineering College, India.

Padmini, S., and Rajan, C. C. A. (2013). Application of Differential Evolution Technique for Short Term Hydrothermal Scheduling and its Comparision with Other Meta Heuristic Search Algorithms. i-manager’s Journal on Electrical Engineering, 6(3), 37-41. https://doi.org/10.26634/jee.6.3.2179

Abstract

This paper proposes an application of Differential Evolution Technique(DE) for solving short- term scheduling problem.Generally Short-term hydrothermal scheduling involves the hour by hour scheduling of all generation on a system to achieve minimum production cost.A set of starting conditions is given and the optimal hourly schedule that minimizes the desired objective,while meeting hydraulic and steam constraints is sought and solved using Differential Evolution. . The results are examined to validated the effectiveness of the algorithm in comparision with other Meta heuristic algorithms like GA, GS, IFEP, SA and PSO.

References

[1]. Wood, A.J. and Wollenberg, (1984). B.F.: Power Generation, Operation and Control, John Wiley and Sons, New York, 1984.

[2]. Ferrero, R.W.; Rivera, J.F.; Shahidehpour, S.M., (1998). “A dynamicprogramming two-stage algorithm for long-termhydrothermal scheduling of multireservoir systems”, IEEE Transactions on Power Systems, Volume 13, Issue 4, Nov 1998 Page(s):1534 –1540.

[3]. Esteban Gil,Hugh Rudnick, (2003). ”Short-term hydrothermal generation scheduling model using a genetic algorithm”,IEEE Transactions on Power Systems, 2003, Vol 18, No.4,1256-1264.

[4]. Brannud H, Bubenko JA, Sjelvgren D. (1986). Optimal short term operation planning of a large hydrothermal power system based on non linear network flow concept. IEEE Trans PWRS 1986;1(4):75-82.

[5]. Wong KP, Wong YW. (1994). Short-term hydro thermal scheduling Part 1: Simulated annealing approach. IEE Proc Generat Transmission Distribut 1994;141(5):497-501.

[6]. Yang PC, Yang HT, Huang CL. (1996). Scheduling short term hydro thermal generation using evolutionary programming techniques. IEE Proc Generat Transmission Distribut 1996;143(4):371-6.

[7]. Dhillon JS, Parti SC, Kothari DP. (2002). Fuzzy decision-making in stochastic multi objective short term hydro thermal scheduling. IEE Proc Generet Transmission Distribut 2002;149(2):191-200.

[8]. Padmini.S, Rajan C.C.A, Murthy.P, ”Application of Improved PSO technique for short term hydrothermal generation scheduling of power system” Lecture Notes in Computer Science7076 LNCS (PART I) PP-176-182.

[9]. Storn R, Price K. (2007). Differntial Evolution:=.Changa Chung-Fu, Wong Ji-Jeng, Chiou Ji-Pyng , Su Ching-Tzong. Robust searching hybrid differential evolution method for optimal reactive power planning in large scale distribution systems. Electric Power Syst Res 2007;77:430-7.

[10]. Coelho Leandro dos Santos, Mariani Viviana Cocco. (2007). Improved differential evolution algorithms for handling economic dispatch optimization with generator constraints. Energy Convers Manage 2007;48:1631-9.

[11]. Sinha, N. Loi-Lei Lai, (2006). “Meta Heuristic Search Algorithms for Short-Term Hydrothermal Scheduling”, International Conference on Machine Learning and Cybernetics, Location:. Dalian, 2006.

[12]. Lai JC, Leung,F.H, Sai Ho-Li. (2010). Economic load dispatch using differential evolution with double wavelet mutation operations. Evolutionary computation (CEC), 2010 IEEE.

[13]. J. J. Liang, A. K. Qin, P. N. Suganthan and S. Baskar, (2006). "Comprehensive Learning Particle Swarm Optimizer for Global Optimization of Multimodal Functions", IEEE T. on Evolutionary Computation, Vol. 10, No. 3, pp. 281-295, June 2006.

[14]. S.Huang, (1999). “Application of genetic based fuzzy systems to hydroelectric generation scheduling ", IEEE T. on Energy Conversion, pp. 724-730, 1999.

[15]. R.Naresh, J.Sharma, (1999). “Two-phase neural network bsed solution technique for short term hydrothermal scheduling, Generation, Transmission and Distribution”, IEE Proceedings. pp 657-663.(1999)

[16]. Yinghai Li; Xiaohua Dong; Cuimei Lv; Faxing Du; (2011). “A modified shuffled frog leaping algorithm and its application to short-term hydrothermalscheduling”, Vol.4, 2011 , Page(s): 1909 - 1913

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

Current Issue Vol. 17 Issue 4

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Most Cited

Volume 6 Issue 3 January - March 2013

Investigation on Symmetrical Three Phase Hybrid Cascaded Multilevel Inverter With Reduced Number of Switches

V. Vidhya* , C. R. Balamurugan**, S. P. Natarajan***

*PG Student, Department of EEE, Arunai Engineering College, Tiruvannamalai, India. ** Department of EEE, Arunai Engineering College, Tiruvannamalai, India. *** Department of EIE, Annamalai University, Chidambaram, India.

Vidhya, V., Balamurugan, C. R., and Natarajan, S. P. (2013). Investigation on Symmetrical Three Phase Hybrid Cascaded Multilevel Inverter with Reduced Number of Switches. i-manager’s Journal on Electrical Engineering, 6(3), 1-10. https://doi.org/10.26634/jee.6.3.2174

Abstract

References

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Analysis of Temperature Field in Switched Reluctance Machine Based on Regression Technique

Annie elisabeth jebaseeli* , S.Paramasivam**

* Department of Electrical and Electronics Engineering, Sathyabama University, Chennai. ** R&D Head, ESAB, Chennai.

Jebaseeli, E. A. E., and Paramasivam, S. (2013). Analysis of Temperature Field in Switched Reluctance Machine Based on Regression Technique. i-manager’s Journal on Electrical Engineering, 6(3), 11-15. https://doi.org/10.26634/jee.6.3.2175

Abstract

References

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Simulation and Performance of Matrix Converter with Faulty Conditions

Sankar S* , Saravana Kumar S**, M. Padmarasan***

*-** Faculty in Department of EEE, Panimalar Institute of Technology, Chennai, Tamil Nadu, India. *** Faculty in Department of IT, Panimalar Institute of Technology, Chennai, Tamil Nadu ,India.

Sankar, S., Saravanakumar, S., and Padmarasan, M. (2013). Simulation and Performance of Matrix Converter with Faulty Conditions. i-manager’s Journal on Electrical Engineering, 6(3), 16-20. https://doi.org/10.26634/jee.6.3.2176

Abstract

References

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Design and Simulation of AC to DC Single Stage Converter for Low Voltage Application

Honey Susan Eldo* , Dhayalini K**

* PG Scholar, Department of EEE, J.J. College of Engineering and Technology, Trichy, India. ** Professor, Department of EEE, J.J. College of Engineering and Technology, Trichy, India.

Eldo, H. S., and Dhayalini, K. (2013). Design and Simulation of AC to DC Single Stage Converter for Low Voltage Application. i-manager’s Journal on Electrical Engineering, 6(3), 21-29. https://doi.org/10.26634/jee.6.3.2177

Abstract

References

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Clearing of Three Phase SC, LG & OC Faults in Multi Bus System using SSCB

KALAI MURUGAN* , R. R. Prabu**

*Research Scholar, Sathyabama University, Chennai, India. ** Professor, B.S. Abdur Rahman University, Chennai, India.

Murugan, A. K., and Prabu, R. R., (2013). Clearing of Three Phase SC, LG & OC Faults in Multi Bus System Using SSCB. i-manager’s Journal on Electrical Engineering, 6(3), 30-36. https://doi.org/10.26634/jee.6.3.2178

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Application Of Differential Evolution Technique For Short Term Hydrothermal Scheduling And Its Comparision With Other Meta Heuristic Search Algorithms

S.Padmini* , C. Christober Asir Rajan**

* Research Scholar, SRM University, Chennai, India. ** Associate Professor, Pondichery Engineering College, India.

Padmini, S., and Rajan, C. C. A. (2013). Application of Differential Evolution Technique for Short Term Hydrothermal Scheduling and its Comparision with Other Meta Heuristic Search Algorithms. i-manager’s Journal on Electrical Engineering, 6(3), 37-41. https://doi.org/10.26634/jee.6.3.2179

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V. Vidhya* , C. R. Balamurugan, S. P. Natarajan*

PG Student, Department of EEE, Arunai Engineering College, Tiruvannamalai, India.

Department of EEE, Arunai Engineering College, Tiruvannamalai, India.

Department of EIE, Annamalai University, Chidambaram, India.

* Department of Electrical and Electronics Engineering, Sathyabama University, Chennai.

** R&D Head, ESAB, Chennai.

Sankar S* , Saravana Kumar S, M. Padmarasan*

- Faculty in Department of EEE, Panimalar Institute of Technology, Chennai, Tamil Nadu, India.

Faculty in Department of IT, Panimalar Institute of Technology, Chennai, Tamil Nadu ,India.

* PG Scholar, Department of EEE, J.J. College of Engineering and Technology, Trichy, India.

** Professor, Department of EEE, J.J. College of Engineering and Technology, Trichy, India.

*Research Scholar, Sathyabama University, Chennai, India.

** Professor, B.S. Abdur Rahman University, Chennai, India.

* Research Scholar, SRM University, Chennai, India.

** Associate Professor, Pondichery Engineering College, India.