i-manager Publications

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

Current Issue Vol. 18 Issue 1

PV-grid Performance improvement through Integrated Intelligent Water Drop Optimization with Neural Network for Maximum Power Point Tracking
A Digital Healthcare Monitoring System with Real-Time Analysis
Advancements in Smart Meter Design and Integration for Enhanced Energy Management and Efficiency
Electric Vehicles in Modern Transportation: Environmental Impacts, Configurations, and Future Trends – A Review
GTO Technique Based Hybrid Power System Controller Design

Most Cited

Volume 11 Issue 2 October - December 2017

Research Paper

Effects of Ambient Temperature On Correlated Colour Temperature of Light Emitting Diodes

Aniruddha Mukherjee* , M. K. Gupta**

* Department of Electrical Engineering, Suresh Gyan Vihar University, Jaipur, India.

** Professor, Department of Electrical Engineering, Suresh Gyan vihar University Jaipur, India.

Mukherjee, A., and Gupta, M. K. (2017). Effects of Ambient Temperature On Corelated Colour Temperature of Light Emitting Diodes. i-manager’s Journal on Electrical Engineering, 11(2), 1-6. https://doi.org/10.26634/jee.11.2.13850

Abstract

It has been well established that light emitting diode shall invariably replace incandescent lamps and compact fluorescent lamps in smart cities. However one important aspect that needs to be addressed in the context of light emitting diodes and dimming is degradation of Correlated Colour Temperature (CCT). Dimming will alter the temperature at the junction and T-point. Thus any changes in light intensity will finally bring changes in the temperature. Subsequently with changes in T-point temperature CCT also changes. The degradation of CCT will implicate the quality and quantity of light delivered by LED. In LEDs apart from ambient temperature test point or commonly referred as T-point temperature also plays a vital role as it depicts the solder point temperature of the device. In this paper, an attempt has been made to work out a relation between the T-point temperature and CCT. This relation will provide sufficient insight to the manufacturers. Furthermore, the aspect of quality lighting is also required to be dealt in smart lighting. This work primarily offers substantive information regarding the change in CCT with corresponding changes in T-point and ambient temperature.

References

[1]. Application Note (2006). AN1916, VIPower: Offline constant current LED driver using VIPer 12/22A.

[2]. Chang, M. H., Das, D., Varde, P. V., & Pecht, M. (2012). Light emitting diodes reliability review. Microelectronics Reliability, 52(5), 762-782.

[3]. Chen, C. H., Tsai, W. L., & Tsai, M. Y. (2008, October). Thermal resistance and reliability of low-cost high-power LED packages under WHTOL test. In Electronic Materials and Packaging, 2008. EMAP 2008. International Conference on (pp. 271-276). IEEE.

[4]. Chhajed, S., Xi, Y., Gessmann, T., Xi, J. Q., Shah, J. M., Kim, J. K., & Schubert, E. F. (2005, January). Junction temperature in light-emitting diodes assessed by different methods. In Proc. SPIE (Vol. 5739, pp. 16-24).

[5]. Das, P. (2010). Studies & Development of a High-Flux White LED Based Lighting System having Hand-Driven Charger back-up and also Continuous Monitoring & Controlling of Load (Doctoral dissertation).

[6]. Dyble, M., Narendran, N., Bierman, A., & Klein, T. (2005, September). Impact of dimming white LEDs: chromaticity shifts due to different dimming methods. In Proc. SPIE (Vol. 5941, pp. 291-299).

[7]. Gacio, D., Alonso, J. M., Garcia, J., Campa, L., Crespo, M. J., & Rico-Secades, M. (2012). PWM series dimming for slow-dynamics HPF LED drivers: The highfrequency approach. IEEE Transactions on Industrial Electronics, 59(4), 1717-1727.

[8]. Gacio, D., Alonso, J. M., Garcia, J., Campa, L., Crespo, M., & Rico-Secades, M. (2010, February). High frequency PWM dimming technique for high power factor converters in LED lighting. In Applied Power Electronics Conference and Exposition (APEC), 2010 Twenty-Fifth Annual IEEE (pp. 743-749). IEEE.

[9]. Kressel, H. (1977). JK Bulter Semiconductor asers and heterojunction LEDS. Quantum Electronics, Academic Press.

[10]. Mukherjee, A., & Soni, A. (2016). Effect of Ambient Temperature Rise on the Led Life Time Resource. Light & Engineering, 24(2).

[11]. Narendran, N., Bullough, J. D., Maliyagoda, N., & Bierman, A. (2001). What is useful life for white light LEDs?. Journal of the Illuminating Engineering Society, 30(1), 57- 67.

[12]. Ouendadji, S., Ghemid, S., Meradji, H., & Hassan, F. E. H. (2011). Theoretical study of structural, electronic, and thermal properties of CdS, CdSe and CdTe compounds. Computational Materials Science, 50(4), 1460-1466.

[13]. Trevisanello, L., Meneghini, M., Mura, G., Vanzi, M., Pavesi, M., Meneghesso, G., & Zanoni, E. (2008). Accelerated life test of high brightness light emitting diodes. IEEE Transactions on Device and Materials Reliability, 8(2), 304-311.

Full Article (HTML)

Pdf

Research Paper

Performance Validation of Brushless Resolver and Implementation with Ad2s1210a RDC Converter

Dommeti Rajesh* , Gautam Moni Patro, P. Mallikarjuna Rao*

- Scholar, Department of Electrical Engineering, AUCE(A), Andhra University, Visakhapatnam, India.

Professor, Department of Electrical Engineering, AUCE(A), Andhra University, Visakhapatnam, India.

Rajesh, D., Patro, G. M., and Pasumarthi, M. R. (2017). Performance Validation of Brushless Resolver and Implementation with Ad2s1210a RDC Converter. i-manager’s Journal on Electrical Engineering, 11(2), 7-15. https://doi.org/10.26634/jee.11.2.13852

Abstract

Position feedback requires precise and repeatable indication of rotor position for any closed loop control system. In case of Robotics, motion control devices and multiple pole motors require high sensitivity of the rotator position without any time lapse. Modern motion control methods provide an accurate, fast rate, and low costposition feedback with greater flexibility than older sensing methods. The Resolver technology has been used in an industrial environment for many years in angular position transducers applications. Resolvers are highly robust in nature of operation, and can work even in places, where other electronics based encoders, potentiometers fail. A Brushless resolver is basically rotating transformers integrated with built in two phase machine as rugged as the motor and withstands for High speeds with optimum resolutions. Recent progression in the high resolution R/D converter (RDC) chip technology provides an accurate feedback with reliability and Higher resolution. In this paper, a brushless resolver performance was presented with latest AD2S1210 RDC and 16 bit output interface to dSPIC30F Microcontroller. Also a mathematical model for Resolver and RDC are developed to establish the theoretical performance of the setup.

References

[1]. Aksenenko, V. D., Aksenenko, D. V., & Matveev, S. I. (2003, April). Digital signal processing in angle-to-digital conversion. In Conference Proceedings of Int. Signal Processing Conference.

[2]. Analog Devices (2008). Variable resolution 10-bit to 16-bit r/d converter with reference oscillator. Catalogue of AD2S1210, 1-19.

[3]. Arab-Khaburi, D., Tootoonchian, F., & Nasiri-Gheidari, Z. (2007). Parameter identification of a brushless resolver using charge response of stator current. Iranian Journal of Electrical and Electronic Engineering, 3(1), 42-52.

[4]. Arab-Khaburi, D., Tootoonchian, F., & Nasiri-Gheidari, Z. (2008). Dynamic performance prediction of brushless resolver. Iranian Journal of Electrical & Electronic Engineering, 4(3), 94-103.

[5]. Axsys Company R&D Group, Pancake Resolvers Handbook, http://www.Axsys.com, revised at 15 December 2006.

[6]. Bunte, A., & Beineke, S. (2004). High-performance speed measurement by suppression of systematic resolver and encoder errors. IEEE transactions on industrial electronics, 51(1), 49-53.

[7]. Caricchi, F., Capponi, F. G., Crescimbini, F., & Solero, L. (2001). Sinusoidal brushless drive with low-cost linear Hall effect position sensors. In Power Electronics Specialists nd Conference, 2001. PESC. 2001 IEEE 32 Annual (Vol. 2, pp. 799-804). IEEE.

[8]. Harnefors, L., & Nee, H. P. (2000). A general algorithm for speed and position estimation of AC motors. IEEE Transactions on Industrial Electronics, 47(1), 77-83.

[9]. Hoseinnezhad, R., & Harding, P. (2005, December). A novel hybrid angle tracking observer for resolver to digital conversion. In Decision and Control, 2005 and 2005 th European Control Conference. CDC-ECC'05. 44 IEEE Conference on (pp. 7020-7025). IEEE.

[10]. Kitazawa, K. (2009). Principle and application of resolvers for hybrid electric vehicles. In Proc. of Innovative Automotive Transmissions Conference.

[11]. Li, S. J., Zhou, Q. X., & Lu, G. (2007). Digital Calibration and Compensation Method for Angle Measure System Based on Resolver-RDC [J]. Small & Special Electrical Machines, 6, 010.

[12]. Qixun, Z., Shengjin, L., Gang, L., & Yong, Z. (2008, October). Crossed-feedback control of dualredundancy permanent magnetic brushless dc servo system used in electro-hydrostatic actuator. In Electrical Machines and Systems, 2008. ICEMS 2008. International Conference on (pp. 1237-1241). IEEE.

Full Article (HTML)

Pdf

Research Paper

Improving Stability in Hydel Power System Using Ant Colony Optimized Tuned Controller

Mahesh Singh* , D.D. Neema, R. N. Patel*

* Research Scholar, Department of Electrical Engineering, Swami Vivekananda Technical University, Bhilai (C.G.), India.

Professor, Department of Electrical Engineering, CIT, Rajnandgaon (C.G.), India.

* Professor, Department of Electrical and Electronics Engineering, SSGI (Shri Shankaracharya Technical Campus), Bhilai, India.

Singh, M., Neema, D. D., and Patel, R. N. (2017). Improving Stability in Hydel Power System Using Ant Colony Optimized Tuned Controller. i-manager’s Journal on Electrical Engineering, 11(2), 16-25. https://doi.org/10.26634/jee.11.2.13851

Abstract

There are different types of disturbance in power system like switching, transient, load variation, etc., which affects stability and efficiency of power system. These disturbances cause fluctuation at low frequency which are unacceptable, as they decrease the power transfer capability in transmission line and unstable mechanical shaft load. In order to compress low frequency oscillation, a common solution is the use of Power System Stabilizer (PSS). This paper provides Ant Colony Optimization (ACO) algorithm based approach for robust and optimal design of power system stabilizer proposed for the single machine infinite bus hydro governor turbine generator. The proposed design of the controller is formulated as a parameter optimization problem based eigenvalues, damping ratio, and time domain analysis. The simulation results by proposed design approaches when compared with conventional PSS show better results.

References

[1]. Alkhatib, H., & Duveau, J. (2013). Dynamic genetic algorithms for robust design of multimachine power system stabilizers. International Journal of Electrical Power & Energy Systems, 45(1), 242-251.

[2]. Chung, C. Y., Wang, K. W., Tse, C. T., Bian, X. Y., & David, A. K. (2003). Probabilistic eigenvalue sensitivity analysis and PSS design in multimachine systems. IEEE Transactions on Power Systems, 18(4), 1439-1445.

[3]. Demello, F. P. (1969). Concepts of synchronous machine stability as affected by excitation control. In IEEE Transactions on Power Appparatus and Systems.

[4]. Hsu, Y. Y., & Chen, C. L. (1987, May). Identification of optimum location for stabiliser applications using participation factors. In IEE Proceedings C (Generation, Transmission and Distribution) (Vol. 134, No. 3, pp. 238- 244). IET Digital Library.

[5]. Kundur, P., Balu, N. J., & Lauby, M. G. (1994). Power system stability and control (Vol. 7). New York: McGraw-hill.

[6]. Pal, B., & Chaudhuri, B. (2006). Robust control in power systems. Springer Science & Business Media.

[7]. Rangasamy, S., & Manickam, P. (2014). Stability analysis of multimachine thermal power systems using the nature-inspired modified cuckoo search algorithm. Turkish Journal of Electrical Engineering & Computer Sciences, 22(5), 1099-1115.

[8]. Rogers, G. (2012). Power system oscillations. Springer Science & Business Media.

[9]. Sambariya, D. K., & Prasad, R. (2015). Optimal tuning of fuzzy logic power system stabilizer using harmony search algorithm. International Journal of Fuzzy Systems, 17(3), 457-470.

[10]. Sambariya, D. K., & Prasad, R. (2016). Design of optimal proportional integral derivative based power system stabilizer using bat algorithm. Applied Computational Intelligence and Soft Computing, 2016, 5.

[11]. Sebaa, K., & Boudour, M. (2009). Optimal locations and tuning of robust power system stabilizer using genetic algorithms. Electric Power Systems Research, 79(2), 406- 416.

[12]. Shayeghi, H. A. S. H., Safari, A., & Shayanfar, H. A. (2008). Multimachine power system stabilizers design using PSO algorithm. International Journal of Electrical Power and Energy Systems Engineering, 1(4), 226-233.

[13]. Shivakumar, R., & Lakshmipathi, R. (2009, October). An Innovative Bio Inspired PSO Algorithm to Enhance Power System Oscillations Damping. In Advances in Recent Technologies in Communication and Computing , 2009 . ARTCom' 09 . International Conference on (pp. 260-262). IEEE.

[14]. Singh, M., Patel, R. N., & Jhapte, R. (2016, January). Performance comparison of optimized controller tuning techniques for voltage stability. In Control, Measurement and Instrumentation (CMI), 2016 IEEE First International Conference on (pp. 11-15). IEEE.

[15]. Yang, X. S. (2009, October). Firefly algorithms for multimodal optimization. In International symposium on stochastic algorithms (pp. 169-178). Springer, Berlin, Heidelberg.

Full Article (HTML)

Pdf

Research Paper

Analysis of Certain Multi Objective Aspect For Distribution Systems in The Presence Of CapacitorsUsing Modified Optimization Algorithm

CHINTALAPUDI* , M. S. Ravikumar, U. Ramanaiah*, S. Siva Nagaraju****

* Professor, Department of Electrical and Electronics Engineering, VVIT, Guntur, India.

Professor, Department of Electrical and Electronics Engineering, LBRCE, Vijayawada, India.

*Assistant Professor, Department of Electrical and Electronics Engineering, VVIT, Guntur, India.

**** Professor, Department of Electrical and Electronics Engineering, UCEK, JNTUK, Kakinada, India.

Suresh, C. V., Giridhar, M. S., Ramanaiah, U., Sivanagaraju, S. (2017). Analysis of Certain Multi Objective Aspect For Distribution Systems in The Presence Of Capacitors Using Modified Optimization Algorithm. i-manager’s Journal on Electrical Engineering, 11(2), 26-40. https://doi.org/10.26634/jee.11.2.13853

Abstract

This study proposes a novel framework to analyze the multi objective optimization aspects of distribution system in the presence of capacitors. This study associated with the economical and technical aspects of the system by means of net savings, voltage deviation, and section current index objectives. The system in the presence of capacitors exhibits efficient performance, for this, an optimal placement strategy is presented based on power loss indexes and total power losses using proposed modified cuckoo search algorithm. In order to explore the problem more realistically and to solve multi objective optimization problem in the presence of capacitors, a novel methodology based on non-dominated sorting and fuzzy decision approaches is proposed. The feasibility and effectiveness of the proposed method are examined on standard 15-node, 33-node, and 69-node test systems. According to the analytical results, the proposed framework in the presence of capacitors enhances the system performance more effectively [14].

References

[1]. AlHajri, M. F., AlRashidi, M. R., & El-Hawary, M. E. (2007, April). A novel discrete particle swarm optimization algorithm for optimal capacitor placement and sizing. In Electrical and Computer Engineering, 2007. CCECE 2007. Canadian Conference on (pp. 1286-1289). IEEE.

[2]. Babu, A. N., Ramana, T., & Sivanagaraju, S. (2014). Analysis of optimal power flow problem based on two stage initialization algorithm. International Journal of Electrical Power & Energy Systems, 55, 91-99.

[3]. Baghzouz, Y., & Ertem, S. (1990). Shunt capacitor sizing for radial distribution feeders with distorted substation voltages. IEEE Transactions on Power Delivery, 5(2), 650-657.

[4]. Baran, M., & Wu, F. F. (1989). Optimal sizing of capacitors placed on a radial distribution system. IEEE Transactions on power Delivery, 4(1), 735-743.

[5]. Chiou, J. P., Chang, C. F., & Su, C. T. (2006). Capacitor placement in large-scale distribution systems using variable scaling hybrid differential evolution. International Journal of Electrical Power & Energy Systems, 28(10), 739- 745.

[6]. Das, D. (2002). Reactive power compensation for radial distribution networks using genetic algorithm. International Journal of Electrical Power & Energy Systems, 24(7), 573-581.

[7]. Deb, K. (2012). Optimization for engineering design: Algorithms and examples. PHI Learning Pvt. Ltd..

[8]. Durgun, ?., & Yildiz, A. R. (2012). Structural design optimization of vehicle components using cuckoo search algorithm. Materials Testing, 54(3), 185-188.

[9]. Eberhart, R., & Kennedy, J. (1995, October). A new optimizer using particle swarm theory. In Micro Machine and Human Science, 1995. MHS'95., Proceedings of the Sixth International Symposium on (pp. 39-43). IEEE.

[10]. Elsheikh, A., Helmy, Y., Abouelseoud, Y., & Elsherif, A. (2014). Optimal capacitor placement and sizing in radial electric power systems. Alexandria Engineering Journal, 53(4), 809-816.

[11]. Ghosh, S., & Das, D. (1999). Method for load-flow solution of radial distribution networks. IEE Proceedings- Generation, Transmission and Distribution, 146(6), 641- 648.

[12]. Gomes, F. V., Carneiro, S., Pereira, J. L. R., Vinagre, M. P., Garcia, P. A. N., & Araujo, L. R. (2005). A new heuristic reconfiguration algorithm for large distribution systems. IEEE Transactions on Power systems, 20(3), 1373-1378.

[13]. González, J. F. V., Lyra, C., & Usberti, F. L. (2012). A pseudo-polynomial algorithm for optimal capacitor placement on electric power distribution networks. European Journal of Operational Research, 222(1), 149- 156.

[14]. Grainger, J. J., & Lee, S. H. (1981). Optimum size and location of shunt capacitors for reduction of losses on distribution feeders. IEEE Transactions on Power Apparatus and Systems, (3), 1105-1118.

[15]. Grainger, J. J., & Lee, S. H. (1982). Capacity release by shunt capacitor placement on distribution feeders: A new voltage-dependent model. IEEE Transactions on Power Apparatus and Systems, (5), 1236-1244.

[16]. Jabr, R. A. (2008). Optimal placement of capacitors in a radial network using conic and mixed integer linear programming. Electric Power Systems Research, 78(6), 941-948.

[17]. Khalil, T. M., Youssef, H. K., & Aziz, M. A. (2006, June). A binary particle swarm optimization for optimal placement and sizing of capacitor banks in radial distribution feeders with distorted substation voltages. In AIML 06 International Conference (Vol. 1, pp. 129-135).

[18]. Luo, G. X., & Semlyen, A. (1990). Efficient load flow for large weakly meshed networks. IEEE Transactions on Power Systems, 5(4), 1309-1316.

[19]. Ng, H. N., Salama, M. M. A., & Chikhani, A. Y. (2000). Capacitor allocation by approximate reasoning: fuzzy capacitor placement. IEEE Transactions on Power Delivery, 15(1), 393-398.

[20]. Niknam, T., Azizipanah-Abarghooee, R., & Aghaei, J. (2013). A new modified teaching-learning algorithm for reserve constrained dynamic economic dispatch. IEEE Transactions on Power Systems, 28(2), 749-763.

[21]. Pires, D. F., Antunes, C. H., & Martins, A. G. (2012). NSGA-II with local search for a multi-objective reactive power compensation problem. International Journal of Electrical Power & Energy Systems, 43(1), 313-324.

[22]. Prakash, K., & Sydulu, M. (2007, June). Particle swarm optimization based capacitor placement on radial distribution systems. In Power Engineering Society General Meeting, 2007. IEEE (pp. 1-5). IEEE.

[23]. Rao, R. S., Narasimham, S. V. L., & Ramalingaraju, M. (2011). Optimal capacitor placement in a radial distribution system using plant growth simulation algorithm. International Journal of Electrical Power & Energy Systems, 33(5), 1133-1139.

[24]. Reddy M., D Reddy., “Optimal Capacitor Placement using Fuzzy and Real Coded Genetic Algorithm for Maximum Savings”, Journal of Theoretical and Applied Information Technology, 2008.

[25]. Reddy, V. U., & Manohar, T. G. (2012, May). A two stage approach: Capacitor placement for loss reduction in radial distribution system. In Environment and Electrical th Engineering (EEEIC), 2012 11 International Conference on (pp. 555-558). IEEE.

[26]. Reddy, V. U., Manohar, D. T. G., & Reddy, P. D. P. (2012). Capacitor Placement for loss reduction in radial distribution networks: A two stage approach. Journal of Electrical Engineering, 12.

[27]. Salama, M. M. A., & Chikhani, A. Y. (1993). A simplified network approach to the VAR control problem for radial distribution systems. IEEE Transactions on Power Delivery, 8(3), 1529-1535.

[28]. Savier, J. S., & Das, D. (2007). Impact of network reconfiguration on loss allocation of radial distribution systems. IEEE Transactions on Power Delivery, 22(4), 2473- 2480.

[29]. Su, C. T., & Tsai, C. C. (1996, December). A new fuzzyreasoning approach to optimum capacitor allocation for primary distribution systems. In Industrial Technology, 1996.(ICIT'96), Proceedings of The IEEE International Conference on (pp. 237-241). IEEE.

[30]. Sundhararajan, S., & Pahwa, A. (1994). Optimal selection of capacitors for radial distribution systems using a genetic algorithm. IEEE transactions on Power Systems, 9(3), 1499-1507.

[31]. Vaisakh, K., Praveena, P., Rao, S. R. M., & Meah, K. (2012). Solving dynamic economic dispatch problem with security constraints using bacterial foraging PSO-DE algorithm. International Journal of Electrical Power & Energy Systems, 39(1), 56-67.

[32]. Wikipedia. https://en.wikipedia.org/wiki/Test_ functions_for_optimization

[33]. Yang, X. S., & Deb, S. (2009, December). Cuckoo search via Lévy flights. In Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on (pp. 210-214). IEEE.

[34]. Yang, X. S., & Deb, S. (2010). Engineering optimisation by cuckoo search. International Journal of Mathematical Modelling and Numerical Optimisation, 1(4), 330-343.

[35]. Yu, X. M., Xiong, X. Y., & Wu, Y. W. (2004). A PSObased approach to optimal capacitor placement with harmonic distortion consideration. Electric Power Systems Research, 71(1), 27-33.

Full Article (HTML)

Pdf

Review Paper

A Perspective on Wind Turbines For Electric Power Generation

M. Faisal Khan* , M. Rizwan Khan**

* Assistant Professor, University Polytechnic, Faculty of Engineering & Technology, AMU, Aligarh, India.

** Professor, Department of Electrical Engineering, Aligarh Muslim University, Aligarh, India.

khan, M. F., and khan, M. R., (2017). A Perspective on Wind Turbines For Electric Power Generation. i-manager’s Journal on Electrical Engineering, 11(2), 41-54. https://doi.org/10.26634/jee.11.2.13854

Abstract

Wind energy is expected to contribute substantially to realize the sustainable development goals 2030 of the United Nations (UN). Substantial growth in global installed capacity of electric power generated from wind in the past decade has lead to corresponding upsurge in the research on Wind Energy Conversion Systems (WECS). This study endeavours to discuss various issues pertaining to the WECS. Fundamental terms of wind turbines, their types, application wise suitability, and the operational features are elaborated. Details regarding the blade designs and the aerodynamics are explained through necessary mathematical modeling. Also, a perspective is presented on various types of generators suitable for WECS along with specific attributes and shortcomings of each. The feasibility of multi-phase self excited induction generators for wind energy application is demonstrated through experimental results of six and nine phase variants.

References

[1]. Ahmed, S. (2011). Wind Energy: Theory and Practice. PHI Learning Pvt. Ltd.

[2]. Ajao, K. R. & Mahamood, M. R. (2009). Wind energy conversion system: The past, the present, and the prospect. Journal of American Science, 5(6), 17-22.

[3]. Alnasir, Z. & Kazerani, M. (2013). An analytical literature review of stand-alone wind energy conversion systems from generator viewpoint. Renewable and Sustainable Energy Reviews, 28, 597-615.

[4]. Argatov, I. & Shafranov, V. (2016). Economic assessment of small-scale kite wind generators. Renewable Energy, 89, 125-134.

[5]. Bai, C.-J. & Wang, W.-C. (2016). Review of computational and experimental approaches to analysis of aerodynamic performance in horizontal-axis wind turbines (HAWTs). In Renewable and Sustainable Energy Reviews, 63, 506–519.

[6]. Bingham, R., Agelin-Chaab, M., & Rosen, M. (2016). Feasibility of a Hybrid Solar and Wind Power System for an Island Community in the Bahamas. International Journal of Renewable Energy Research (IJRER), 6(3), 951-963.

[7]. Bortolotti, P., Bottasso, C. L., & Croce, A. (2016). Combined preliminary-detailed design of wind turbines. Wind Energy Science, 1(1), 71-88.

[8]. Branlard, E. S. P. (2015). Analysis of Wind Turbine Aerodynamics and Aeroelasticity using Vortex-based Methods (Doctoral dissertation, DTU Wind Energy).

[9]. Classic Fleet. (2017). Classic fleet S88-2.1 MW, available at:http://www.suzlon.com/products/classicfeet, accessed on 28^th Feb'2017.

[10]. de Freitas, T. R., Menegáz, P. J., & Simonetti, D. S. (2016). Rectifier topologies for permanent magnet synchronous generator on wind energy conversion systems: A review. Renewable and Sustainable Energy Reviews, 54, 1334-1344.

[11]. Earnest, J. & Wizelius, T. (2011). Wind Power Plants and Project Development. PHI Learning.

[12]. Eboibi, O., Danao, L. A. M., & Howell, R. J. (2016). Experimental investigation of the influence of solidity on the performance and flow field aerodynamics of vertical axis wind turbines at low Reynolds numbers. Renewable Energy, 92, 474-483.

[13]. El-Askary, W. A., Sakr, I. M., AbdelSalam, A. M., & Abuhegazy, M. R. (2017). Modeling of wind turbine wakes under thermally-stratified atmospheric boundary layer. Journal of Wind Engineering and Industrial Aerodynamics, 160, 1-15.

[14]. Fakorede, O., Feger, Z., Ibrahim, H., Ilinca, A., Perron, J., & Masson, C. (2016). Ice protection systems for wind turbines in cold climate: Characteristics, comparisons and analysis. Renewable and Sustainable Energy Reviews, 65, 662-675.

[15]. Gantasala, S., Luneno, J. C., & Aidanpää, J. O. (2016). Influence of icing on the modal behavior of wind turbine blades. Energies, 9(11), 862.

[16]. Global Wind Energy Council (GWEC). (2017). Global wind statistics 2016.

[17]. Hansen, L. H., Helle, L., Blaabjerg, F., Ritchie, E., Munk-Nielsen, S., Bindner, H. W. et al. (2001). Conceptual Survey of Generators and Power Electronics for Wind Turbines.

[18]. Hansen, M. O. L. (2008). 'Aerodynamics of wind turbines', Earthscan, USA, UK, 2008.

[19]. Jeon, M., Lee, S., & Lee, S. (2014). Unsteady aerodynamics of offshore floating wind turbines in platform pitching motion using vortex lattice method. Renewable Energy, 65, 207-212.

[20]. Ji, H. S., Baek, J. H., Mieremet, R., & Kim, K. C. The Aerodynamic Performance Study on Small Wind Turbine with 500W Class through Wind Tunnel Experiments.

[21]. Kaldellis, J. K., & Zafirakis, D. (2011). The wind energy (r) evolution: A short review of a long history. Renewable Energy, 36(7), 1887-1901.

[22]. Khan, M. F. (2015). Modeling and Control of Multiphase Induction Generator for Wind Energy Applications (Doctoral Dissertation, Aligarh Muslim University, India).

[23]. Khan, M. F., & Khan, M. R. (2013). Wind power generation in India: evolution, trends and prospects. International Journal of Renewable Energy Development, 2(3), 175-186.

[24]. Khan, M. F., & Khan, M. R. (2016). Analysis of voltage build-up and speed disturbance ride through capability of a self-excited induction generator for renewable energy application. International Journal of Power and Energy Conversion, 7(2), 157-177.

[25]. Khan, M. F., Khan, M. R., & Iqbal, A. (2017). Modeling, implementation and analysis of a high (six) phase self excited induction generator. Journal of Electrical Systems and Information Technology.

[26]. Lebsir, A., Bentounsi, A., Benbouzid, M., & Mangel, H. (2015). Electric generators fitted to wind turbine systems: An up-to-date comparative study. Journal of Electrical Systems, 11(3), 281-295.

[27]. Levi, E. (2016). Advances in converter control and innovative exploitation of additional degrees of freedom for multiphase machines. IEEE Transactions on Industrial Electronics, 63(1), 433-448.

[28]. Li, H., & Chen, Z. (2008). Overview of different wind generator systems and their comparisons. IET Renewable Power Generation, 2(2), 123-138.

[29]. Mansouri, M. M., Nayeripour, M., & Negnevitsky, M. (2016). Internal electrical protection of wind turbine with doubly fed induction generator. Renewable and Sustainable Energy Reviews, 55, 840-855.

[30]. Murthy, S. S., (2016). "Renewable energy generators and control". in Rashid, M. H. (Eds.). Electric Renewable Energy Systems. Academic Press, Boston.

[31]. Okulov, V., & van Kuik, G. A. (2009). The Betz- Joukowsky limit for the maximum power coefficient of wind turbines. International Scientific Journal for Alternative Energy and Ecology, (9), 106-111.

[32]. Pao, L. Y., & Johnson, K. E. (2009, June). A tutorial on the dynamics and control of wind turbines and wind farms. In American Control Conference, 2009. ACC'09. (pp. 2076-2089). IEEE.

[33]. Price, T. J. (2005). James Blyth—Britain's first modern wind power pioneer. Wind engineering, 29(3), 191-200.

[34]. Ragheb, M., & Ragheb, A. M. (2011). Wind turbines theory-the betz equation and optimal rotor tip speed ratio. In Fundamental and advanced topics in wind power. InTech.

[35]. Schubel, P. J., & Crossley, R. J. (2012). Wind turbine blade design. Energies, 5(9), 3425-3449.

[36]. Serrano-González, J., & Lacal-Arántegui, R. (2016). Technological evolution of onshore wind turbines—a market-based analysis. Wind Energy, 19(12), 2171-2187.

[37]. Seyoum, D. (1977). The dynamic analysis and control of a self-excited induction generator driven by a wind turbine (Doctoral Dissertation, University of New South Wales, Australia).

[38]. Stotsky, A., Egardt, B., & Carlson, O. (2013, June). Control of wind turbines: A tutorial on proactive perspectives. In American Control Conference (ACC), 2013 (pp. 3429-3436). IEEE.

[39]. Tang, X., Huang, X., Peng, R., & Liu, X. (2015). A direct approach of design optimization for small horizontal axis wind turbine blades. Procedia CIRP, 36, 12- 16.

[40]. Ten Hoeve, J. E., & Jacobson, M. Z. (2012). Worldwide health effects of the Fukushima Daiichi nuclear accident. Energy & Environmental Science, 5(9), 8743- 8757.

[41]. Thomsen, B., Guerrero, J. M., & Thøgersen, P. B. (2014). Faroe islands wind-powered space heating microgrid using self-excited 220-kw induction generator. IEEE Transactions on Sustainable Energy, 5(4), 1361-1366.

[42]. United Nations (UN) (2016) Sustainable development goals: 2030 agenda for ustainable development.

[43]. Wang, L., Liu, X., & Kolios, A. (2016). State of the art in the aeroelasticity of wind turbine blades: Aeroelastic modelling. Renewable and Sustainable Energy Reviews, 64, 195-210.

[44]. Xie, S., & Archer, C. (2015). Self-similarity and turbulence characteristics of wind turbine wakes via largeeddy simulation. Wind Energy, 18(10), 1815-1838.

[45]. Zaharia, A. A. L., Brisset, S., & Radulescu, M. M. (2016, September). Modeling approaches to brushless DC permanent-magnet generator for use in micro-wind turbine applications. In Electrical Machines (ICEM), 2016 XXII International Conference on (pp. 445-451). IEEE.

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

Current Issue Vol. 18 Issue 1

Most Read

Most Cited

Volume 11 Issue 2 October - December 2017

Effects of Ambient Temperature On Correlated Colour Temperature of Light Emitting Diodes

Aniruddha Mukherjee* , M. K. Gupta**

* Department of Electrical Engineering, Suresh Gyan Vihar University, Jaipur, India. ** Professor, Department of Electrical Engineering, Suresh Gyan vihar University Jaipur, India.

Mukherjee, A., and Gupta, M. K. (2017). Effects of Ambient Temperature On Corelated Colour Temperature of Light Emitting Diodes. i-manager’s Journal on Electrical Engineering, 11(2), 1-6. https://doi.org/10.26634/jee.11.2.13850

Abstract

References

Full Article (HTML)

Pdf

Performance Validation of Brushless Resolver and Implementation with Ad2s1210a RDC Converter

Dommeti Rajesh* , Gautam Moni Patro**, P. Mallikarjuna Rao***

*-** Scholar, Department of Electrical Engineering, AUCE(A), Andhra University, Visakhapatnam, India. *** Professor, Department of Electrical Engineering, AUCE(A), Andhra University, Visakhapatnam, India.

Rajesh, D., Patro, G. M., and Pasumarthi, M. R. (2017). Performance Validation of Brushless Resolver and Implementation with Ad2s1210a RDC Converter. i-manager’s Journal on Electrical Engineering, 11(2), 7-15. https://doi.org/10.26634/jee.11.2.13852

Abstract

References

Full Article (HTML)

Pdf

Improving Stability in Hydel Power System Using Ant Colony Optimized Tuned Controller

Mahesh Singh* , D.D. Neema**, R. N. Patel***

Singh, M., Neema, D. D., and Patel, R. N. (2017). Improving Stability in Hydel Power System Using Ant Colony Optimized Tuned Controller. i-manager’s Journal on Electrical Engineering, 11(2), 16-25. https://doi.org/10.26634/jee.11.2.13851

Abstract

References

Full Article (HTML)

Pdf

Analysis of Certain Multi Objective Aspect For Distribution Systems in The Presence Of CapacitorsUsing Modified Optimization Algorithm

CHINTALAPUDI* , M. S. Ravikumar**, U. Ramanaiah***, S. Siva Nagaraju****

Abstract

References

Full Article (HTML)

Pdf

A Perspective on Wind Turbines For Electric Power Generation

M. Faisal Khan* , M. Rizwan Khan**

* Assistant Professor, University Polytechnic, Faculty of Engineering & Technology, AMU, Aligarh, India. ** Professor, Department of Electrical Engineering, Aligarh Muslim University, Aligarh, India.

khan, M. F., and khan, M. R., (2017). A Perspective on Wind Turbines For Electric Power Generation. i-manager’s Journal on Electrical Engineering, 11(2), 41-54. https://doi.org/10.26634/jee.11.2.13854

Abstract

References

Full Article (HTML)

Pdf

* Department of Electrical Engineering, Suresh Gyan Vihar University, Jaipur, India.

** Professor, Department of Electrical Engineering, Suresh Gyan vihar University Jaipur, India.

Dommeti Rajesh* , Gautam Moni Patro, P. Mallikarjuna Rao*

- Scholar, Department of Electrical Engineering, AUCE(A), Andhra University, Visakhapatnam, India.

Professor, Department of Electrical Engineering, AUCE(A), Andhra University, Visakhapatnam, India.

Mahesh Singh* , D.D. Neema, R. N. Patel*

CHINTALAPUDI* , M. S. Ravikumar, U. Ramanaiah*, S. Siva Nagaraju****

* Assistant Professor, University Polytechnic, Faculty of Engineering & Technology, AMU, Aligarh, India.

** Professor, Department of Electrical Engineering, Aligarh Muslim University, Aligarh, India.