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

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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 12 Issue 4 April - June 2019

Research Paper

An Investigation On Modelling And Simulation Of Real Lightning Strikes

Hilal Sen* , Cengiz Polat Uzunoglu, Aysel Ersoy Yilmaz*

*-***Department of Electrical & Electronics Engineering, Faculty of Engineering, Istanbul University-Cerrahpasa, Istanbul, Turkey.

Sen , H., Uzunoglu, C., P., & Yilmaz, A., E. (2019). An Investigation On Modelling And Simulation Of Real Lightning Strikes. i-manager’s Journal on Electrical Engineering, 12(4), 1-9. https://doi.org/10.26634/jee.12.4.15833

Abstract

Lightning strikes have great importance in balancing electron distributions of our earth. In this study, it is aimed to model lightning strikes which occur in nature by using two-dimensional investigation. For this purpose, firstly, lightning is simulated in computer environment by using finite element method at different matrix sizes. In the next step a fractal analysis method is used to determine the similarity of the model to the actual lightning. In order to simulate and predict possible pattern of a real lightning the lightning paths investigated and nature of the strike is simulated. According to the simulation results, the fractal dimension averages of the shapes are obtained as 1.32 by using the MATLAB program. On the other hand, real lightning images are processed and average fractal dimension is calculated as 1.23. This results have verified that simulation results and real images results are very close in terms of fractal dimensions. Accordingly, the fractal irregularity of the simulated shapes is slightly more than the actual lightning.

References

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[2]. Agarwal, P., & El-Sayed, A. A. (2018). Non-standard finite difference and chebyshev collocation methods for solving fractional diffusion equation. Physica A: Statistical Mechanics and Its Applications, 500, 40-49. https://doi.org/ 10.1016/j.physa.2018.02.014

[3]. Aggarwal, S., Singh, D. P., Asthana, N., & Gupta, A. R. (2018). Application of elzakitrans form for solving population growth and decay problems. Journal of Emerging Technologies and Innovative Research, 5(9), 281-284.

[4]. Aplin, K. L. (2018). Atmospheric electricity at Durham: the scientific contributions and legacy of JA (“Skip”) Chalmers (1904-1967). History of Geo- and Space Sciences, 9(1), 25-35. https://doi.org/10.5194/hgss-9-25- 2018

[5]. Atıcı, R., Güzel, E., & Sağır, S. (2018). Lower ionospheric electron density changes following lightning discharges. Acta Geophysica, 66(4), 731-738.

[6]. Baranov, M. I., & Rudakov, S. V. (2018). Electro thermalaction of the pulse of the current of a short artificiallightning stroke on test specimens of wires and cables of electric power objects. Journal of Engineering Physics and Thermophysics, 91(2), 544-555. https://doi.org/10.1007/ s10891-018-1775-2

[7]. Boiangiu, C., Morosan, A. G., & Stan, M. (2016). A fractal world: Building visually-rich and fully-realistic natural environments. International Journal of Mathematics and Computers in Simulation, 10, 100-111.

[8]. Burman, E., Elfverson, D., Hansbo, P., Larson, M. G., & Larsson, K. (2018). Shape optimization using the cut finite element method. Computer Methods in Applied Mechanics and Engineering, 328, 242-261.

[9]. Butcher, J. C. (2016). Numerical methods for ordinary differential equations. John Wiley & Sons.

[10]. Cannon, J. W. (2017). Non-Euclidean Geometry and Curvature: Two-Dimensional Spaces, (Vol. 3). American Mathematical Society.

[11]. Christopoulos, C. (1997). Modelling of lightning and its interaction with structures. Engineering Science & Education Journal, 6(4), 149-154. https://doi.org/ 10.1049/esej:19970402

[12]. Ghafouri, A., Amini, J., Dehmollaian, M., & Kavoosi, M. A. (2017). Measuring the surface roughness of geological rock sur faces in SAR data using fractalgeometry. Comptes Rendus Geo science, 349(3), 114-125. https://doi.org/10.1016/j.crte.2017.04.003

[13]. Gu, Y., Hua, Q., Zhang, C., & He, X. (2019). The generalized finite difference method for long-time transient heat conduction in 3D anisotropic composite materials. Applied Mathematical Modelling, 71, 316-330. https://doi.org/10.1016/j.apm.2019.02.023

[14]. Haris, H. C. M., Rahman, N. F. A., & Salim, N. A. (2018). Selection of suitable features of lightning rods for secure lightning protection. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(1-9), 43- 47.

[15]. Kara, A., Kalenderli, O., & Mardikyan, K. (2017). Modeling and analyzing barrier effect on AC breakdown strength of non-uniform air gaps. IEEE Transactions on Dielectrics and Electrical Insulation, 24(6), 3416-3424. https://doi.org/10.1109/TDEI.2017.006510

[16]. Katunin, A., Krukiewicz, K., Turczyn, R., Sul, P., Łasica, A., & Bilewicz, M. (2017). Synthesis and characterization of the electrically conductive polymeric composite for lightning strike protection of aircraft structures. Composite Structures, 159, 773-783. https://doi.org/10.1016/j. compstruct.2016.10.028

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[19]. Niu, Z., Jiao, L., Chen, S., Yan, P., & Wang, X. (2018). Surface quality evaluation in orthogonal turn-milling based on box-counting method for image fractal dimension estimation. Nano manufacturing and Metrology, 1(2), 125- 130.

[20]. Price, C. (2018). Lightning. In Exploring Natural Hazards (pp. 299-316). Chapman and Hall/CRC.

[21]. Reuven Y., Rubinstein, & Dirk P. Kroese (2016). Simulation and the Monte Carlo method. John Wiley & Sons. https://doi.org/10.1002/9781118631980

[22]. Shahri, H. R. F., Mahdavinejad, R., Ashjaee, M., & Abdullah, A. (2017). A comparative investigation on temperature distribution in electric discharge machining process through analytical, numerical and experimental methods. International Journal of Machine Tools and Manufacture, 114, 35-53. https://doi.org/10.1016/j.ij machtools.2016.12.005

[23]. Stynes, M., O'Riordan, E., & Gracia, J. L. (2017). Error analysis of a finite difference method on graded meshes for a time-fractional diffusion equation. SIAM Journal on Numerical Analysis, 55(2), 1057-1079. https://doi.org/10. 1137/16M1082329

[24]. Tomazella, V. L. D., & Nadarajah, S. (2015). Estimation of parameters in Laplace distributions with interval censored data. Brazilian Journal of Probability and Statistics, 29(3), 677-694. https://doi.org/10.1214/14- BJPS239

[25]. Turner, A. (2019). From Lichen to Lightning: Understanding Random Growth. Newsletter of the London Mathematical Society, (482), 14-19.

[26]. Xie, Z. Y., Zhai, M. Y., & Liu, X. F. (2017, March). Research on fractal characteristics of broadband power line communication signal. In 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)(pp. 373-378). IEEE. https://doi.org/10.1109/WiSPNET.2017.8299781

[27]. Uzunoglu, C. P. (2017). Continuous over voltage Characteristics of surge protected power strips. imanager's Journal on Circuits & Systems, 5(4), 1-7. https://doi.org/10.26634/jcir.5.4.13938

[28]. Uzunoglu, C. P., Ugur M., & Kuntman, A. (2008). Simulation of chaotic surface tracking on the polymeric insulators with brownian motion. Istanbul University-Journal of Electrical & Electronics Engineering, 8(1), 585-592.

[29]. Wang, Z., & Geng, Y. (2018). Study of electric field distorted by space charges under positive lightning impulse voltage. Results in physics, 8, 955-962.

[30]. Zhang, A. M., & Liu, Y. L. (2015). Improved threedimensional bubble dynamics model based on boundary element method. Journal of Computational Physics, 294, 208-223. https://doi.org/10.1016/j.jcp.2015.03.049

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Research Paper

Observations of Voltage Breakdown In Ultra-Low Pressure Environments Under Varied Voltage and Frequency Conditions

Ben Oni*

* Department of Electrical and Computer Engineering ,Tuskegee University, Tuskegee, Alabama.

Oni, B. (2019). Observations of Voltage Breakdown In Ultra-Low Pressure Environments Under Varied Voltage and Frequency Conditions. i-manager’s Journal on Electrical Engineering, 12(4), 10-19. https://doi.org/10.26634/jee.12.4.14866

Abstract

Weight is a critical factor in the design of deep space vehicles. Space bound electrical systems can be constructed to weigh less if designed as high voltage, high frequency AC power system. However, high voltage and high frequency power distribution systems have severe limitations in space exploration due to voltage breakdown and electrical discharge phenomena. Paschen law gives the breakdown voltage necessary to start a discharge between two electrodes in gas medium as a function of pressure and gap length. In the traditional experiment to verify Paschen law, pressure in a controlled vacuum chamber is set while a DC voltage across two electrodes is varied. This paper takes the reverse procedure, i.e., AC voltage across electrode gap is set and pressure in the vacuum chamber varied. The intention for this experimental approach is to allow for observation of changes in the voltage across the electrode gap before, during and after voltage breakdown. At Nyquist sampling rate, the result recorded in the experiments is a near continuous graphical chronology of changes and oscillations in voltage across the electrode gap due to electron collision activities between the electrodes.

References

[1]. Biswas, J. C., & Mitra, V. (1979). High-frequency breakdown and Paschen law. Applied Physics, 19(4), 377- 381. https://doi.org/10.1007/BF00930100

[2]. Chen, Y. (2016). Electrical breakdown of Gases in subatmospheric pressure, MS Thesis, https://etd.auburn. edu/bitstream/handle/10415/5207/Chen_Thesis%205.13. 2016.pdf?sequence=2

[3]. Cross, J. D., Mazurek, B., Srivatava, K. D. (1983). Photographic observation of breakdown mechanism in Vacuum, IEEE Transactions on Electrical Insulation https://doi.org/10.1109/TEI.1983.298605

[4]. Emadi, K., & Ehsani, M. (2000). Aircraft power systems: technology, state of the art, and future trends. IEEE Aerospace and Electronic Systems Magazine, 15(1), 28- 32. https://doi.org/10.1109/62.821660

[5]. European Space Agency (2009). What are hypervelocity impacts?. Retrieved from http://www.esa.int/ Our_Activities/Operations/What_are_hypervelocity_impac ts

[6]. High Voltage Design Criteria. (1978, September). MSFC-STD-531. Retrieved from https://standards.nasa.gov/ standard/msfc/ msfc-std-531

[7]. Miller, H. C. (1991). Electrical discharges in vacuum: 1980-90. IEEE transactions on Electrical Insulation, 26(5), 949-1043. https://doi.org/10.1109/14.99100

[8]. Neuber, A., Butcher, M., Krompholz, H., Hatfield, L. L., & Kristiansen, M. (1999, June). The role of outgassing in surface flashover under vacuum. In Digest of Technical Papers. 12^th IEEE International Pulsed Power Conference.(Cat. No. 99CH36358) (Vol. 1, pp. 441-445). IEEE. https://doi.org/10.1109/PPC.1999.825505

[9]. Nevrovsky, V. A. (1998, August). Analysis of elementary processes leading to surface flashover in vacuum. In Proceedings ISDEIV. 18^th International Symposium on Discharges and Electrical Insulation in Vacuum (Cat. No. 98CH36073) (Vol. 1, pp. 159-161). IEEE. https://doi.org/10. 1109/DEIV.1998.740598

[10]. Paschen's law. (2019, May 06). Retrieved from https://en.wikipedia.org/wiki/Paschen's_law

[11]. Plessow, R., & Pfeiffer, W. (1994, October). Influence of the frequency on the partial discharge inception voltage. In Proceedings of IEEE Conference on Electrical Insulation and Dielectric Phenomena-(CEIDP'94) (pp. 97-102). IEEE. https://doi.org/10.1109/CEIDP.1994.591699

[12]. Sood, P. K., & Lipo, T. A. (1988). Power conversion distribution system using a high-frequency AC link. IEEE Transactions on Industry Applications, 24(2), 288-300. https://doi.org/10.1109/28.28

[13]. Sul, S. K., Alan, I., & Lipo, T. A. (1989, August). Performance testing of a high frequency link converter for space station power distribution system. In Proceedings of the 24th Intersociety Energy Conversion Engineering Conference (pp. 617-623). IEEE. https://doi.org/10.1109/ IECEC.1989.74530

[14]. Wadhwa, C.L. (2007). High Voltage Engineering (2^nd ed.). New Age International. 10-12.

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Research Paper

Optimal Configuring Of Micro Grid

Mahaboob Shareef Syed * , B. Sreenivasa Raju , Somavarapu Srilatha*

, Department of Electrical and Electronics Engineering, VLITS, Vadlamudi, Guntur, Andhra Pradesh, India.

Department of Electrical and Electronics Engineering, VVIT, Namburu Guntur, Andhra Pradesh, India.

Syed, M., S., Raju, B., S., & Srilatha, S. (2019). Optimal Configuring Of Micro Grid. i-manager’s Journal on Electrical Engineering, 12(4), 20-29. https://doi.org/10.26634/jee.12.4.15991

Abstract

Renewable Energy Sources (RES) are gradually being recognized as an important alternate in supply side planning for micro grids. The objective of the present work is optimal planning, sizing and operation of a hybrid renewable energy based micro grid with the aim of minimizing the lifecycle cost. Two different case studies, diesel-only and diesel-renewable mixed configurations are planned to study. Minimizing the conventional fuel usage and therefore carbon dioxide emission will reduce by maintaining the highest level of reliable power of the micro grid. This is achieved by maximizing the utilization of RES and by minimizing the utility of conventional energy resources. Dispatching and rescheduling the conventional generators at their optimal efficiency operating pointswith the goal of reducing the dependency on the utility grid.HOMER, a hybrid optimization modeling software is used for designing and analyzing the hybrid power systems, which contains a combination of conventional generators, wind turbines, solar photovoltaic, hydropower, batteries, fuel cells and the biomass. The results are compared in terms of the economics, operational performance and environmental emission.

References

[1]. Almadhor, A. & Konstantelos. I. (2018). A feedback-oriented intelligent monitoring of a storage-based solar photovoltaic(PV)-powered microgrid with mesh networks. energies. MDPI, 11 (6).1-18. https://doi.org/10.3390/en 11061446

[2]. Givler, T., & Lilienthal, P. (2005). Using HOMER Software, NREL's Micropower Optimization Model, to Explore the Role of Gen-sets in Small Solar Power Systems; Case Study: Sri Lanka (No. NREL/TP-710-36774). National Renewable Energy Lab., Golden, CO (US).

[3]. Hafez, O., & Bhattacharya, K. (2012).Optimal planning and design of a renewable energy-based supply system for micro grids. Elsevier, Renewable Energy, 45(9), 7-15. https://doi.org/10.1016/j.renene.2012.01.087

[4]. Kornelakis, Aris, & Marinakis, Y. (2010). Contribution form optimal sizing of grid-connected PV-systems using PSO. Renewable Energy, 35(6), 33-41. https://doi.org/10. 1016/j.renene.2009.10.014

[5]. Okedu, K., E., & Uhunmwangho, R (2014). Optimization of renewable energy efficiency using HOMER. Energy and Power Engineering, 4(2), 422-427.

[6]. Rousis, A.,O., Tzelepis, D., & Strbac.G. (2018). Design of a hybrid AC/DC microgrid using HOMER Pro: case study on an islanded residential application. Applied Energy, 45 (14).1-14.

[7]. Saheb-koussa, D., Koussa, M., & Belhamel, M. (2012). Simulation of PV/WIND DIESEL hybrid power systems for rural electrification in algeria simer. Renewable Energy, 35(8), 15-23.

[8]. Salam, M.,A., Al-Karaghouli, A., and Kazmerski, L.,L., (2013). Optimal sizing of photovoltaic systems using HOMER for sohar, oman. International Journal of Renewable Energy Research, 3(2), 301-307.

[9]. Shaahid, S.,M., El-Amin, I., Rehman, S., Al-Shehri, A., Bakashwain., J., & Ahmad, F. (2004). Potential of autonomous/off-grid hybrid wind-diesel power system for electrification of a remote settlement in Saudi Arabia. Wind Engineering, 28(5), 621-628. https://doi.org/10.1260/0 309524043028127

[10]. Thiam, D.,R. (2003). Renewable energy, poverty alleviation and developing nations: evidence from senegal. Applied Energy, 86 (7), 24-30.

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Research Paper

MATLAB Modelling and Simulation of Reconfigurable Solar Converter: A Single-Stage Power Conversion PV-Battery System

Amardeep Potdar* , Pratik Ghutke, Disha Potdar*, Anil Tekale****

* Department of Electrical Engineering, Zeal Polytrchnic, Narhe, Pune, India

Department of Electrical Engineering, Tulsiramji Gaikwad-Patil College of Engineering & Technology, Nagpur,India

* Electrical Engineering, Cusrow Wadia Institute of Technology, Pune, India

**** Department of Electrical Engineering, Parikrama College of Engineering, Kashti, Ahmednagar, Maharashtra, India.

Potdar , A., Ghutke, P., Potdar, D., & Tekale , A., (2019). MATLAB Modelling and Simulation of Reconfigurable Solar Converter: A Single-Stage Power Conversion PV-Battery System. i-manager’s Journal on Electrical Engineering, 12(4), 30-36. https://doi.org/10.26634/jee.12.4.16254

Abstract

Solar energy will be changed by climatic conditions. Photovoltaic solar power generation is very sensitive to shading effect. Output of solar PV cell will be lessen, when a small part of a solar PV array is shaded. For solar photovoltaic systems, energy storage such as batteries and fuel cells has attracted considerably and demand for solar photovoltaic systems with energy storage devices has increased. If solar photovoltaic systems become a constant source of energy, resulting in improvement in solar photovoltaic values as well as performance. This article outlines a new converter called reconfigurable solar converter (RSC) for photovoltaic (PV) cells, especially for utility-scale PV applications. This document also includes MATLAB simulation and its results analysis. The main concept of the new converter is to use a single stage three-phase solar inverter for the DC / AC and DC / DC processes described in this document. This converter solution is attractive for photovoltaic systems with battery backup applications because it reduces the number of conversion stages, thereby increasing efficiency and reducing cost, weight and size. This document is very important for applications that are used to interpret the performance characteristics of the proposed RSC. This document proposes a new topology for the RSC that allows the use of a higher battery voltage than photoelectric voltage. The RSC concept is applied in local consumer optical battery applications. A range of RSC operating modes is suggested for optimal home use. Automatic change between these operating modes is another objective of this document.

References

[1]. Ding, F., Li, P., Huang, B., Gao, F., Ding, C., & Wang, C. (2010, September). Modeling and simulation of grid-connected hybrid photovoltaic/battery distributed generation system. In CICED 2010 Proceedings (pp. 1-10). IEEE. https://doi.org/10.1109/ICECCE.2014.7086636

[2]. Kim, H., Parkhideh, B., Bongers, T. D., & Heng, G. (2013). Reconfigurable solar converter: A single-stage power conversion PV-battery system. IEEE Transactions on Power Electronics, 28(8), 3788-3797. https://doi.org/10.1109% 2FTPEL.2012.2229393

[3]. Liu, K., & Makaran, J. (2009). "Design of a solar powered battery charger," IEEE Electrical Power and Energy Conference (EPEC), Montreal, QC, 2009 (pp. 1-5). https://doi.org/10.1109/EPEC.2009.5420817

[4]. Ma, L., Sun, K., Teodorescu, R., Guerrero, J. M., & Jin, X. (2010, July). An integrated multifunction DC/DC converter for PV generation systems. In 2010 IEEE International Symposium on Industrial Electronics (pp. 2205-2210). IEEE.

[5]. Munir, S., & Li, Y. W. (2013). Residential distribution system harmonic compensation using PV interfacing inverter. IEEE Transactions on Smart Grid, 4(2), 816-827. https://doi.org/10.1109/TSG.2013.2238262.

[6]. Nair, M. V., & Lekshmi, S. (2014, November). Reconfigurable solar converter for PV battery application. In 2014 International Conference on Electronics, Communication and Computational Engineering (ICECCE) (pp. 61-66). IEEE.

[7]. Potdar, D., & Potdar, A. (2018). Solar and biomass-based power plants. Germany: Lambert Academic Publishing.

[8]. Potdar, D., & Potdar, A. (2019). Electricity generation technology - renewable energy sources. Scholars' Press, East Europe.

[9]. Potdar, D., Potdar, A., S., & Ghutke, P. (2019). Assessment of grid integration impact of photovoltaic system in HD modelling. Journal of Emerging Technologies and Innovative Research (JETIR), 6(5), 182-188.

[10]. Rodriguez, J., Lai, J. S., & Peng, F. Z. (2002). Multilevel inverters: A survey of topologies, controls, and applications. IEEE Transactions on Industrial Electronics, 49(4), 724-738.

[11]. Sasidharan, N., & Singh, J. G. (2017). A novel singlestage single-phase reconfigurable inverter topology for a solar powered hybrid AC/DC home. IEEE Transactions On Industrial Electronics, 64(4). https://doi.org/10.1109 /TIE.2016.2643602.

[12]. Sasidharan, N., Singh, J. G., & Ongsakul, W. (2015). An approach for an efficient hybrid AC/DC solar powered Homegrid system based on the load characteristics of home appliances. Energy and Buildings, 108, 23-35. https://doi.org/10.1016/j.enbuild.2015.08.051

[13]. Von Appen, J., Stetz, T., Braun, M., & Schmiegel, A. (2014). Local voltage control strategies for PV storage systems in distribution grids. IEEE Transactions on Smart Grid, 5(2), 1002-1009. https://doi.org/10.1109/TSG.2013. 2291116

[14]. Wang, Z., Li, X., & Li, G. (2010). “Energy storage control for the PV generation system in micro-grid,” In Proceedings 5^thInternational Conference Critical Infrastructure (pp. 1–5). https://doi.org/10.1109/ISIE.2010.5637648

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Research Paper

Demagnetization Diagnosis In Multi-Phase PMSM Machine By Advanced MCSA Technique

Khadim Moin Siddiqui* , S. Chatterji **

* Department of Electrical Engineering, Babu Banarsi Das National Institute of Technology and Management, Lucknow, India.

** Department of Electrical Engineering, NITTTR, Chandigarh, India.

Siddiqui, K., M., Chatterji , S. (2019). Demagnetization Diagnosis In Multi-Phase PMSM Machine By Advanced MCSA Technique. i-manager’s Journal on Electrical Engineering, 12(4), 37-45. https://doi.org/10.26634/jee.12.4.15758

Abstract

In the present time, the multi-phase motor especially five phase Permanent Magnet Synchronous Motor (PMSM) machines are being popular and used in many industrial applications with efficient performance. The main features of this machine are its reliability and excellent dynamic performance. Due to these features, this permanent magnet motor is widely being used in automotive or high power traction systems. However, the possibility of failures during motor operation cannot be denied and further it leads to large revenue losses for industries. In PMSM machines, diagnosis of magnetic demagnetization has been a challenging task for many researchers since last decade. Thus, condition monitoring of this motor for magnetic demagnetization is very essential. Therefore, in this research paper, the magnetic demagnetization of the motor has been diagnosed precisely in the early stages by the advanced Motor Current Signature Analysis (MCSA) technique.

References

[1]. Demetriades, G. D., de la Parra, H. Z., Andersson, E., & Olsson, H. (2010). A Real-Time thermal model of a permanent-magnet synchronous motor. IEEE Transactions on Power Electronics, 25(2), 463-474. https://doi.org/10.1 109/TPEL.2009.2027905

[2]. Ding, X., Bhattacharya, M., & Mi, C. (2010). Simplified thermal model of PM motors in hybrid vehicle applications taking into account eddy current loss in magnets. Journal of Asian Electric Vehicles, 8(1), 1337-1343. https://doi.org/ 10.4130/jaev.8.1337

[3]. El-Refaie, A. M., Harris, N. C., Jahns, T. M., & Rahman, K. M. (2004). Thermal analysis of multibarrier interior PM synchronous machine using lumped parameter model. IEEE Transactions on Energy Conversion, 19(2), 303-309. https://doi.org/10.1109/TEC.2004.827011

[4]. Feng, G., Lai, C., & Kar, N. C. (2017). Particle-filter-based magnet flux linkage estimation for PMSM magnet condition monitoring using harmonics in machine speed. IEEE Transactions on Industrial Informatics, 13(3), 1280- 1290. https://doi.org/10.1109/TII.2016.2616331

[5]. Feng, G., Lai, C., Tjong, J., & Kar, N. C. (2018). Noninvasive kalman filter based permanent magnet temperature estimation for permanent magnet synchronous machines. IEEE Transactions on Power Electronics, 33(12), 10673-10682. https://doi.org/10.1109/ TPEL.2018.2808323

[6]. Fu, W. N., & Ho, S. L. (2010). Dynamic demagnetization computation of permanent magnet motors using finite element method with normal magnetization curves. IEEE Transactions on Applied Super conductivity, 20(3), 851-855. https://doi.org/10.1109/TASC.2009.2039787

[7]. Lai, C., Iyer, K. L. V., Mukherjee, K., & Kar, N. C. (2015). Analysis of electromagnetic torque and effective winding inductance in a surface-mounted PMSM during integrated battery charging operation. IEEE Transactions on Magnetics, 51(11), 1-4. https://doi.org/10.1109/ TMAG.2015.2432738

[8]. Liu, K., & Zhu, Z. Q. (2015). Mechanical parameter estimation of permanent-magnet synchronous machines with aiding from estimation of rotor PM flux linkage. IEEE Transactions on Industry Applications, 51(4), 3115-3125. https://doi.org/10.1109/TIA.2015.2399615

[9]. Liu, S., Mohammed, O. A., & Liu, Z. (2007). An improved FE-based phase variable model of PM synchronous machines including dynamic core losses. IEEE Transactions on Magnetics, 43(4), 1801-1804. https://doi.org/10.11 09/TMAG.2006.892296

[10]. Morimoto, S., Sanada, M., & Takeda, Y. (1994). Widespeed operation of interior permanent magnet synchronous motors with high-performance current regulator. IEEE Transactions on Industry Applications, 30(4), 920-926. https://doi.org/10.1109/28.297908

[11]. Qiao, W., & Lu, D. (2015). A survey on wind turbine condition monitoring and fault diagnosis—Part I: Components and subsystems. IEEE Transactions on Industrial Electronics, 62 (10), 6536-6545. https://doi.org/10.1109/TIE.2015.2422112

[12]. Ruoho, S., Kolehmainen, J., Ikaheimo, J., & Arkkio, A. (2010). Interdependence of demagnetization, loading, and temperature rise in a permanent-magnet synchronous motor. IEEE Transactions on Magnetics, 46, 949-953. https://doi.org/10.1109/TMAG.2009.2033592

[13]. Sarikhani, A., & Mohammed, O. (2012, September). Real-time demagnetization assessment of PM synchronous machine. In 2012 XXth International Conference on Electrical Machines (pp. 2418-2424). IEEE. https://doi.org/10.1109/ICElMach.2012.6350222

[14]. Siddiqui, K. M., & Chatterji, S. (2018). Early, Demagnetization assessment of PMSM machine by discrete wavelet transform. i-manager's Journal on Circuits & Systems, 6(4), 16. https://doi.org/10.26634/jcir.6.4.15214

[15]. Siddiqui, K. M., Sahay, K., & Giri, V. K. (2014). Health monitoring and fault diagnosis in induction motor-a review, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 3(1), 6549- 6565.

[16]. Siddiqui, K. M., Sahay, K., & Giri, V. K. (2017). modeling and open phase fault analysis in three and five phase permanent magnet synchronous motor machine. imanager's Journal on Instrumentation & Control Engineering, 5(4), 32. https://doi.org/10.26634/jic.5. 4.13843

[17]. Siddiqui, K. M., Upadhyay, S. K., Singh, S., Srivastava, R. K., & Babu, R. (2017). Performance and analysis of PWM inverter fed 3-phase PMSM drive. i-manager's Journal on Electronics Engineering, 8(1), 9. https://doi.org/10.26634/ jele.8.1.13835

[18]. Simani, S., Farsoni, S., & Castaldi, P. (2015). Fault diagnosis of a wind turbine benchmark via identified fuzzy models. IEEE Transactions on Industrial Electronics, 6(62), 3775-3782. https://doi.org/10.1109% 2FTIE.2014.2364548

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

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Volume 12 Issue 4 April - June 2019

An Investigation On Modelling And Simulation Of Real Lightning Strikes

Hilal Sen* , Cengiz Polat Uzunoglu**, Aysel Ersoy Yilmaz***

*-***Department of Electrical & Electronics Engineering, Faculty of Engineering, Istanbul University-Cerrahpasa, Istanbul, Turkey.

Sen , H., Uzunoglu, C., P., & Yilmaz, A., E. (2019). An Investigation On Modelling And Simulation Of Real Lightning Strikes. i-manager’s Journal on Electrical Engineering, 12(4), 1-9. https://doi.org/10.26634/jee.12.4.15833

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Observations of Voltage Breakdown In Ultra-Low Pressure Environments Under Varied Voltage and Frequency Conditions

Ben Oni*

* Department of Electrical and Computer Engineering ,Tuskegee University, Tuskegee, Alabama.

Oni, B. (2019). Observations of Voltage Breakdown In Ultra-Low Pressure Environments Under Varied Voltage and Frequency Conditions. i-manager’s Journal on Electrical Engineering, 12(4), 10-19. https://doi.org/10.26634/jee.12.4.14866

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Optimal Configuring Of Micro Grid

Mahaboob Shareef Syed * , B. Sreenivasa Raju **, Somavarapu Srilatha***

*,*** Department of Electrical and Electronics Engineering, VLITS, Vadlamudi, Guntur, Andhra Pradesh, India. ** Department of Electrical and Electronics Engineering, VVIT, Namburu Guntur, Andhra Pradesh, India.

Syed, M., S., Raju, B., S., & Srilatha, S. (2019). Optimal Configuring Of Micro Grid. i-manager’s Journal on Electrical Engineering, 12(4), 20-29. https://doi.org/10.26634/jee.12.4.15991

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MATLAB Modelling and Simulation of Reconfigurable Solar Converter: A Single-Stage Power Conversion PV-Battery System

Amardeep Potdar* , Pratik Ghutke**, Disha Potdar***, Anil Tekale****

Potdar , A., Ghutke, P., Potdar, D., & Tekale , A., (2019). MATLAB Modelling and Simulation of Reconfigurable Solar Converter: A Single-Stage Power Conversion PV-Battery System. i-manager’s Journal on Electrical Engineering, 12(4), 30-36. https://doi.org/10.26634/jee.12.4.16254

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Demagnetization Diagnosis In Multi-Phase PMSM Machine By Advanced MCSA Technique

Khadim Moin Siddiqui* , S. Chatterji **

* Department of Electrical Engineering, Babu Banarsi Das National Institute of Technology and Management, Lucknow, India. ** Department of Electrical Engineering, NITTTR, Chandigarh, India.

Siddiqui, K., M., Chatterji , S. (2019). Demagnetization Diagnosis In Multi-Phase PMSM Machine By Advanced MCSA Technique. i-manager’s Journal on Electrical Engineering, 12(4), 37-45. https://doi.org/10.26634/jee.12.4.15758

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Hilal Sen* , Cengiz Polat Uzunoglu, Aysel Ersoy Yilmaz*

Mahaboob Shareef Syed * , B. Sreenivasa Raju , Somavarapu Srilatha*

, Department of Electrical and Electronics Engineering, VLITS, Vadlamudi, Guntur, Andhra Pradesh, India.

Department of Electrical and Electronics Engineering, VVIT, Namburu Guntur, Andhra Pradesh, India.

Amardeep Potdar* , Pratik Ghutke, Disha Potdar*, Anil Tekale****

* Department of Electrical Engineering, Babu Banarsi Das National Institute of Technology and Management, Lucknow, India.

** Department of Electrical Engineering, NITTTR, Chandigarh, India.