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i-manager's Journal on Power Systems Engineering (JPS)

Current Issue Vol. 12 Issue 1

Thermodynamic and Exergoeconomic Operation Optimization and Simulation of Steam Generation Solar Power Plant
Topology Transformation Approach for Optimal PMU Placement for Monitoring and Control of Power System
Performance Evaluation of Power System with HVDC Integration: Impact of SSSC and STATCOM on Power System Efficiency and Stability
Photovoltaic Systems: A Pollination-Based Optimization Approach for Critical Industrial Applications
Design of a Robust Controller for the Load Frequency Control of Interconnected Power System

Most Cited

Volume 3 Issue 4 November - January 2016 [Open Access]

Research Paper

Analysis of Optimal Power Flow Using Gravitational Search Algorithm

M. Lakshmikantha Reddy* , M. Ramprasad Reddy, V.C. Veera Reddy*

* Associate Professor, Department of Electrical and Electronics Engineering, Yogananda Institute of Technology and Science, Tirupati, India.

Associate Professor, Department of Electrical and Electronics Engineering, Aditya College of Engineering, Madanapalli, India.

* Former Professor & HOD, Department of Electrical and Electronics Engineering, SV University, Tirupati, India.

Reddy, M. L., Reddy, M. R., and Reddy, V. V. (2016). Analysis of Optimal Power Flow Using Gravitational Search Algorithm. i-manager’s Journal on Power Systems Engineering, 3(4), 1-11. https://doi.org/10.26634/jps.3.4.4800

Abstract

The operation of an electric power system is a complex one due to its nonlinear and computational difficulties. One task of operating a power system economically and securely is optimal scheduling, commonly referred to as the Optimal Power Flow (OPF) problem. It optimizes a certain objective function while satisfying a set of physical and operating constraints. Optimal power flow has become an essential tool in power system planning and operation. In this paper, a gravitational search algorithm is presented to solve OPF problems while satisfying system equality, in-equality constraints. The effect of security limits such as transmission line limits and load bus voltage magnitudes is also analyzed on OPF problem. The developed methodology is tested on the standard IEEE-30 bus test system, supporting numerical and as well as graphical results.

References

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[2]. Po-Hung Chen and Hong-Chan Chang, (1995). “Large-Scale Economic Dispatch By Genetic Algorithm”. IEEE Transactions on Power Systems, Vol.10, No.4, pp.1919-1926.

[3]. J. Z. Zhu and G. Y. Xu, (1992). “A new real power economic dispatch method with security”. Electric Power Systems Research, Vol.25, No.1, pp. 9-15.

[4]. Shoults R, and Sun D. (1982). “Optimal power flow based on P-Q decomposition”. IEEE Trans Pwr Appar Syst, Vol.101, No.2, pp.397-405.

[5]. Habiabollahzadeh H, Luo, and Semlyen A. (1989). “Hydrothermal optimal power flow based on combined linear and nonlinear programming methodology”. IEEE Trans Pwr Appar Syst, Vol.4, No.2, pp.530-537.

[6]. Burchet RC, Happ HH, and Vierath DR. (1984). “Quadratically convergent optimal power flow”. IEEE Trans Pwr Appar Syst, Vol.103, pp.3267-3276.

[7]. Aoki K, Nishikori A, and Yokoyama RT. (1987). ”Constrained load flow using recursive quadratic programming”. IEEE Trans Pwr Syst, Vol.2, No.1, pp.8-16.

[8]. Mota-Palomino R, and Quintana V H. (1986). “Sparse reactive power scheduling by a penalty function linear programming technique”. IEEE Trans Pwr Syst, Vol.1, No.3, pp.31-39.

[9]. Sun DI, Ashley B, Brewer B. Hughes A, and Tinney WF. (1984). “Optimal power flow by Newton approach”. IEEE Trans Pwr Appar Syst, Vol.103, No.10, pp.2864-2875.

[10]. Santos A, and da Costa GR. (1995). “Optimal power flow solution by Newton's method applied to an augmented lagrangian function”. IEEE Proc Gener Transm Distrib, Vol.142, No.1, pp.33-36.

[11]. Dommel H, Timmy W, (1968). “Optimal power flow solution”. IEEE Trans Pwr Appar Syst, Vol.87, No.10, pp.1866-1876.

[12]. Happ HH, (1977). “Optimal power dispatch: a comprehensive survey”. IEEE Trans Pwr Appar Syst, Vol.96, pp.841-854.

[13]. Mamandur KRC, (1981). “Optimal control of reactive power flow for improvements in voltage profiles and for real power loss minimization”. IEEE Trans Pwr Appar Syst, Vol.100, No.7, pp.3185-3193.

[14]. Abou El-Ela AA, and Abido MA, (1992). “Optimal operation strategy for reactive power control, modeling, simulation and control”. AMSE Press, Vol.41, No.3, pp.19- 40.

[15]. Stadlin W, and Fletcher D, (1982). “Voltage versus reactive current model for dispatch and control”. IEEE Trans Pwr Appar Syst, Vol.101, No.10, pp.3751-3758.

[16]. Kennedy J, (1997). “The particle swarm; social adaptation of knowledge”. Proc of IEEE Int Conf Evol Comput ICEC-97, Indianapolis, IN, USA, pp.303-308.

[17]. Angeline P, (1998). “Evolutionary optimization versus particle swarm optimization:Philosophy and th performance differences”. Proc 7 Annu Conf Evol Prog, pp.601-610.

[18]. Shi Y, and Eberhart R, (1998). “Parameter selection in th particle swarm optimization”. Proc 7 Annu Conf Evol Prog, pp.591-600.

[19]. Ozcan E, and Mohan C, (1998). “Analysis of a simple particle swarm optimization system”. Intel Engng Syst Artif Neural networks, Vol.8, pp.253-258.

[20]. R.J. Ringlee and D.D. William, (1963). ”Economic dispatch operation considering valve throttling losses. Part II: Distribution of system loads by the method of dynamic programming”. IEEE Transactions on Power Apparatus and Systems, Vol.82, No.1.

[21]. IEEE Committee Report, (1971). “Practices in the economic operation of power systems”. IEEE Trans. Power Apparatus and Systems, Pas-90, pp.1768-1775.

[22]. Yang H, Yang P, and Huang C., (1996). “Evolutionary programming based economic dispatch for units with non-smooth fuel cost functions”. IEEE Trans. Power Syst., Vol.11, pp.112-118.

[23]. W. Ongsakul and T. Tantimaporn, (2006). “Optimal power flow by improved evolutionary programming”. Electric Power Components and Systems, Vol.34, pp.79-95.

[24]. Lin W, Cheng F, and Tasy M., (2002). “An improved search for economic dispatch with multiple minima”. IEEE Trans. Power Syst., Vol.17, pp.108-112.

[25]. D Devaraj, and B. Yegnanarayana, (2005). “Genetic Algorithm based optimal power flow for security enhancement”. IEE Proc. on Gener. Trans. Distr., Vol.52, No.6, pp.899-905.

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Research Paper

Measurement and Classification of Power Quality Disturbances Using Wavelet Based Neural Network

S. Deb* , S. Patra**

* PG Student, Department of Electrical Engineering, Birla Institute of Technology, Mesra, India.

** Associate Professor, Department of Electrical Engineering, Assam Engineering College, Guwahati, India.

Deb, S., and Patra, S. (2016). Measurement and Classification of Power Quality Disturbances Using Wavelet Based Neural Network. i-manager’s Journal on Power Systems Engineering, 3(4), 12-17. https://doi.org/10.26634/jps.3.4.4801

Abstract

This paper presents an approach for measuring and classifying power quality disturbances using discrete wavelet transform and artificial neural network. The various power quality events are considered they are voltage sag, swell, harmonics, sag with harmonics, swell with harmonics and interruption. Due to the power quality disturbances, the signal is distorted. The energy of the distorted signal is first evaluated with the help of the Multi-Resolution Analysis (MRA) technique of Discrete Wavelet Transform (DWT) and the Parseval's theorem. Second, the energy deviation of the distorted signal with respect to pure sinusoidal signal is at different levels calculated. From these energy features and transient duration the artificial neural network classifies and identifies the disturbances.

References

[1]. M.P. Collins, W.G. Hurley, and E. Jones, (1994). “The application of wavelet theor y to power quality diagnostics”. in Proc. of Universities Power Engineering Conf (UPEC).

[2]. Santoso, S, Power, E. J., and W M. Hofmann, (1996). “Power quality assessment via wavelet transform”. IEEE Transaction on Power Delivery, Vol.11, No.2.

[3]. P. Pillary, P. Ribeiro, and Q. Pan, (1996). “Power quality modeling using wavelets”. in Proc. of the 1996 IEEE Int. Conf on Harmonics and Quality of Power, Las Vegas, NV, USA.

[4]. N.S. Tunaboylu, and E.R. Collins, (1996). “The wavelet transform approach to detect and quantify voltage sags”, in Proc. of the 1996 IEEE Int. Conf on Harmonics and Quality of Power, Las Vegas, NV, USA.

[5]. S. Santoso, E.J. Powers, and W.M. Grady, (1996). “Power quality disturbance identification using wavelet transforms and artificial neural networks”. in Proc. of the 1996 IEEE Int. Conf on Harmonics and Quality of Power, Las Vegas, NV, USA.

[6]. L. Angrisani, P. Daponte, M. D'Apuzzo, and A. Testa, (1996). “A new wavelet transform based procedure for electrical power quality analysis”. in Proc. of the 1996 IEEE Int. Conf on Harmonics and Quality of Power, Las Vegas, NV, USA.

[7]. Ali Abur and Mladen Kezunovic, (1999). “A simulation and testing laboratory for addressing power quality issues in power system”. IEEE Transaction on Power System, Vol.14, No.1.

[8]. O. Poisson, P. Rioual and M. Meunier, (2000). “Detection and measurement of power quality disturbances using wavelet transform”. IEEE Trans. Power Delivery, Vol.15, No.3.

[9]. J.L.J. Driesen and R. J.M. Belmans, (2003). “Wavelet based power quantification approaches”. IEEE Trans. Power Delivery, Vol.52, No.4.

[10]. S. Mishra, C.N. Bhende and B.K. Panigrahi, (2008). “Detection and classification of power quality disturbances using S transform and probabilistic neural network”. IEEE Trans. Power Delivery, Vol.23, No.1.

[11]. N. Karthik, Shaik Abdul Gafoor, and M. Surya Kalavathi, (2011). “Classification of Power quality problems by wavelet Fuzzy expert system”. International Journal of Advances in Engineering Sciences, Vol.1, No. 3.

[12]. Subhamita Roy, and Sudipta Nath, (2012). “Classification of Power Quality Disturbances using Features of Signals”. International Journal of Scientific and Research Publications, Vol.2, No.11.

[13]. Resende, J. W., Chaves, M. L. R., and Penna, C., (2001). “Identification of power quality disturbances using the MATLAB wavelet transform toolbox”. in Proc. of the 2001 International Conference on Power System Transients.

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Research Paper

Improvement of Power Quality With Multi Input Renewable Energy Sources for Non-Linear Load

S. Kamalakkannan* , D. Kirubakaran**

* Research Scholar, Sathyabama University, Chennai, India.

** Professor and Head, St. Joseph's Institute of Technology, Chennai, India.

Kamalakkannan, S., and Kirubakaran, D. (2016). Improvement of Power Quality With Multi Input Renewable Energy Sources for Non-Linear Load. i-manager’s Journal on Power Systems Engineering, 3(4), 18-24. https://doi.org/10.26634/jps.3.4.4802

Abstract

In this paper voltage source converter is interfaced with renewable energy sources such as solar and wind for power quality improvement. The output of a wind energy conversion system is given as one input to the voltage source converter. Perturb and observation based solar panel is projected for changing irradiance to utilize the maximum obtainable power from the solar panel. The output of wind energy conversion system along with output of solar panel is given to voltage source converter wherein the DC is converted to AC with improvement of power quality. A DC link bus connects both the converters of voltage source converters and AC output of converter is given to non-linear load through a grid connected system. Different digital simulation results are acquired to validate features of voltage source converter for multi input renewable energy sources.

References

[1]. R. Gules, J. DePellegrin Pacheco, H. Leaes Hey and J. Imhoff, (2008). “A maximum power point tracking system with parallel connection for PV stand-alone applications”. IEEE Trans.

[2]. Y M Chen and S C Hung, (2007). “Multi-input inverter for grid connected hybrid PV/wind power system”. IEEE Trans.

[3]. F Z Peng and Yi Huang “Z-source inverter for power conditioning and utility interface of renewable energy sources”.

[4]. John Marshal, (2012). “Single input DC-DC converter for hybrid distributed energy generators with maximum utilization using DSP controller”. IJERA.

[5]. Mukund R. Patel, “Wind and solar power systems design, analysis and operation”.

[6]. Yi Huang, MiaosenShen and F Z Peng, (2006). “Zsource inverter for residential PV systems”. IEEE 2006.

[7]. Reza Gharakhany, Mustafa Mohamadian and Ali YazdianVarjani, (2009). “Reactive power compensation using Z-source based PV system”. IEEE 2009.

[8]. Farzad Sedaghati and Ebrahim Babaei, (2011). “Double input Z-source DC-DC converter”. IEEE 2011.

[9]. ZhiqiangGao, KeShen, Jianze Wang and Qichao Chen, (2010). “An improved control method for inductive load of Z-source inverter”. IEEE 2010.

[10]. Shuouitao Yang, F Z Feng, Qin Lei, RyosukeInoshita and Zhaoming Qian, (2010). “Current-fed quasi-Z-source inverter with voltage buck-boost and regeneration capability”. IEEE 2010.

[11]. Aashoor, F.A.O.; Robinson, F.V.P., (2012). "A variable step size perturb and observe algorithm for photovoltaic maximum power point tracking". IEEE 2012.

[12]. Al-Diab, A. and Sourkounis, C., (2010). "Variable step size P&O MPPT algorithm for PV ssystems". IEEE2010.

[13]. H. Bounechba, A. Bouzid, K. Nabti and H. Benalla, (2014). “Comparison of P&O and fuzzy logic in Maximum power Point Tracker for PV system”. Technologies and Materials for Renewable Energy, Environment and Sustainability 2014.

[14]. bryanwbuckley.com

[15]. www.greenrhinoenergy.com

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Research Paper

Design and Study of Wind-Solar Hybrid System for Domestic Application

Nikhil V. Nayak* , P.P. Revankar, M.B. Gorawar*

* Department of Mechanical, B.V. Bhoomaraddi College, Hubli, India.

Department of Mechanical, B.V. Bhoomaraddi College, Hubli, India.

* Department of Mechanical, B.V. Bhoomaraddi College, Hubli, India.

Nayak, N. V., Revankar, P. P., and Gorawar, M. B. (2016). Design and Study of Wind-Solar Hybrid System for Domestic Application. i-manager’s Journal on Power Systems Engineering, 3(4), 25-34. https://doi.org/10.26634/jps.3.4.4803

Abstract

The Government of India has sanctioned funds for production of 190 GW in this direction and this solution is a way to reduce the pollution levels. This support of the go-green initiative by the united nations as well and is a step forward in creating a better environment for the future generations to live in. The proposed work aimed at designing a wind-solar hybrid system for light load application. The tools like Qblade and solidworks were used to model and analyze the wind turbine system, the material used for the blade and hub was balsa wood and the tower a tripod type. The power output of 100 W at an average wind speed of 4.5 m/s has been targeted. The work also aimed at providing electricity to the rural area in India which amount to 25000 in number where there is no provision for electricity, this solution may provide the electricity needs of such villages.

References

[1]. E. Akcayoz and I. H. Tunce, (2009). “Numerical investigation of flow control over an airfoil using synthetic jets and its optimization”. International Aerospace Conference, Turkey.

[2]. Waleed, (2010). “Numerical investigation of leading edge blowing and optimization of the slot geometry for a circulation control airfoil”. Notes on Numerical Fluid Mechanics and Multidisciplinary Design. Vol.112, pp.183 -190.

[3]. U Anand, et al., (2012). “Drag minimization using active and passive flow control techniques”. Aerospace Science and Technology, Vol.17, No.1, pp.21-31.

[4]. Hansena, et al. “Investigation of flow control over aero foil by suction effect on aerodynamic characteristics”. Canadian Journal on Mechanical Sciences and Engineering, pp.102-109.

[5]. Y. Sudhakar, et al. “Experimental study of airfoil performance with vortex generators”.

[6]. Bragg, M.B., Gregorek, G.M., (1987). Aerodynamics of Wind Turbines. China Power Press, Beijing.

[7]. Kianoosh Yousef, et al., (2009). “Numerical Investigation of Flow Control Over an airfoil Using Synthetic Jets and its Optimization”. International Aerospace Conference, Turkey.

[8]. Herbert Sutherl and John, (2010). “Investigation of Boundary layer Suction on a Wind Turbine aerofoil using CFD”, Master Thesis, Technical University of Denmark.

[9]. Jang-Oh Mo and Young-Ho Lee. “Design and Finite Element Analysis of an Ocean Current Turbine Blade”. Vol.38, pp.1-6.

[10]. Bai C J, Hsiao F B, Li M H, Huang G Y and Chen Y J, (2013). “Design of 1 KW Horizontal-Axis Wind Turbine (HAWT) Blade and Aerodynamic Investigation Using Numerical Simulation”. Vol. 67, pp.279-287.

[11]. Hansena M O L, Sorensen J N, Voutsinas S, Sorensen N and Aa Madsen H, (2006). “The State of the Art in Wind Turbine Aerodynamics and Aero Elasticity”. Progress in Aerospace Science, Vol.42, pp.285-330.

[12]. C.N. Narayanswamy, et al., (2006). “Study of Availability of wind energy and its characteristics”. International Conference on Design, pp.472-478.

[13]. Vikram Singh, (2014). “Balsa wood as the blade material for horizontal axis wind turbine”. National Conference on Mechanical Engineering, pp.293-302.

[14]. Shankar Bentur, (2011). “Wind energy the most widely used renewable energy resources”. Conference on Emerging Trends in Renewable Energy.

[15]. Aravind Lovelin S, Manibharathi M and Rajkumar C, (2010). “Analysis of a Wind Turbine Blade Profile for Tapping Wind Power at the Regions of Low Wind Speed”. International Journal of Mechanical Engineering, Vol. 2, pp.1-10.

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Research Paper

Detection and Location of Faults in Three Phase 11kv Underground Power Cables By Discrete Wavelet Transform (DWT)

Prabhavathi. D* , Surya Kalavathi M, Prakasam K*

- Research Scholar, Department of Electrical and Electronics Engineering, JNTUA, India.

Professor, Department of Electrical and Electronics Engineering, JNTUCEH, JNTUH India.

Prabhavathi, D., Kalavathi, M. S., and Prakasam, K. (2016). Detection and Location of Faults in Three Phase 11kv Underground Power Cables By Discrete Wavelet Transform (DWT). i-manager’s Journal on Power Systems Engineering, 3(4), 35-44. https://doi.org/10.26634/jps.3.4.4804

Abstract

This paper presents detection and location of fault in underground cables by wavelet transform as it is one of the most efficient tools for analyzing non stationary signals and it has been widely used in electrical power systems. Estimation and determination of fault in an underground cable is very important in order to clear the fault quickly and to restore the supply with minimum interruption [3, 8].The high voltage power cable 500MVA, 11kV, 200 km is modeled in MAT LAB simulink platform. Mexican Hat and coif let wavelet transforms is used to extract the signals and the waveforms are shown. The simulation results shows that wavelet method is efficient and powerful to estimate the faults when they occurs in the underground cables.

References

[1]. E.S.T.E. Din, M. Gilany, M.M. Abdel Aziz and D.K. Ibrahim, (2005). "A wavelet-based fault location technique for aged power cables”. Power Engineering Society General Meeting, IEEE, Vol.3, pp.12-16.

[2]. K. Prasanna Kumar, K. Durga Syam Prasad, and K. Sravanthi (2014). “Wavelet-Based Fault Location and Distance Protection Method for Transmission Lines”. Int. Journal of Engineering Research and applications. www.ijera.com, ISSN: 2248-9622, Vol.4, No.7 (Version 4), pp.05-1.

[3]. Hassan Pourvali. Souraki, (2009). “A New Approach to Series Fault Location in Underground Distribution System Using Combined Neural Networks & Wavelet Analysis”. International Conference on Electric Power and Energy Conversion Systems (EPECS), American University of Sharjah.

[4]. El Sayed Tag El Din, Mohamed Mamdouh Abdel Aziz, Doaa khalil Ibrahim and Mahmoud Gilany, (2006). “Fault location scheme for combined overhead line with underground power cable”. Electric Power Systems Research.

[5]. Xin Zhentao, Lei Wang, Jiang Hongyan, Chai Baodong and Jun Yang, (2010). “Smart re-close Scheme of combined overhead line with underground power cable”. Power System Technology (POWERCON).

[6]. C. Apisit, C. Positharn, and A. Ngaopitakkul, (2012). "Discrete wavelet transform and probabilistic neural network algorithm for fault location in underground cable". Fuzzy Theory and it's Applications (iFUZZY), International Conference, pp.154, 157, 16-18.

[7]. C. Apisit, C. Pothisarn, and A. Ngaopitakkul, (2012). "An Application of Discrete Wavelet Transform and Support Vector Machines Algorithm for Fault Locations in Underground Cable". Innovations in Bio-Inspired Computing and Applications IBICA), Third International Conference, pp.89-92.

[8]. Chul-Hwan Kim, Young-Bum Lim, Woo-Gon Chung, Tae-Won Kwon, Jong-Young Hwang, Il-Dong Kim, (1995). “A study on the fault identification of underground cable using neural Network”. Energy Management and Power Delivery, 1995. Proceedings of EMP '95. International Conferences.

[9]. C. M. Wiggins, D.E. Thomas, T.M. Salas, F.S. Nickel, and H.W. Ng, (1994). “On-line fault location system for 66kv underground cables with fast O/E and A/D technique”. IEEE Trans. Power Delivery, Vol.9, pp.579-584.

[10]. Ping. Chen and Kuixin Wang, (2011). "Fault location technology for high-voltage overhead lines With under ground power cables based on travelling wave principle". Advanced Power System automation and Protection (APAP), International Conference, Vol.1, pp.748-751, 16- 20.

[11]. Lee H, and Mouse A M. (1996). “GPS travelling wave fault locator systems: investigation theanomalous measurements related to lightning strikes”. IEEE Trans on Power Delivery, Vol.11, No.3, pp.1214-1223.

[12]. P.F. Gale, P.V. Taylor and P. Naidoo, (2001). “Traveling wave fault locator experience on Eskom's transmission network”. Proc. Seventh International Conference on Developments in Power System Protection, pp.327-330.

[13].Chen Ping, Xu Bingyin, and Li Jing, (2009). “The optimized combination of fault location technology based on traveling wave principle”. Proceedings of Asia- Pacific Power and Energy Engineering, pp.28-31.

[14]. A. Ngaopitakkul, and N. Suttisinthong, (2012). “Discrete wavelet transform and probabilistic neural classification of fault type in underground cable”. Machine Learning and Cybernetics (ICMLC) International Conference, Vol.1, No., pp.360-366.

[15]. P. Makming, S. Bunjongjit, A. Kunakorn, and S. Kando, (2002). "Fault diagnosis in transmission lines using wavelet transforms analysis". Transmission and Distribution Conference and Exhibition Asia Pacific. IEEE- PES, Vol.3, No, pp.2246-2250.

[16]. Bo. Z.Q. Jiang, F. Z. Chen. X.Z, Dong, G. Weller and M. A. Redfern, (2000). "Transient based protection for power transmission systems". Power Engineering Society Winter Meeting, IEEE, Vol.3, No, pp.1832-1837.

[17]. S. Tarlochan, and Xu. Zhihan, (2010). "Detection of Incipient Faults in Distribution Underground Cables". IEEE Trans. on Power Delivery, Vol.25, No.3, pp.1363-1371.

i-manager's Journal on Power Systems Engineering (JPS)

Current Issue Vol. 12 Issue 1

Most Read

Most Cited

Volume 3 Issue 4 November - January 2016 [Open Access]

Analysis of Optimal Power Flow Using Gravitational Search Algorithm

M. Lakshmikantha Reddy* , M. Ramprasad Reddy**, V.C. Veera Reddy***

Reddy, M. L., Reddy, M. R., and Reddy, V. V. (2016). Analysis of Optimal Power Flow Using Gravitational Search Algorithm. i-manager’s Journal on Power Systems Engineering, 3(4), 1-11. https://doi.org/10.26634/jps.3.4.4800

Abstract

References

Full Article (HTML)

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Measurement and Classification of Power Quality Disturbances Using Wavelet Based Neural Network

S. Deb* , S. Patra**

* PG Student, Department of Electrical Engineering, Birla Institute of Technology, Mesra, India. ** Associate Professor, Department of Electrical Engineering, Assam Engineering College, Guwahati, India.

Deb, S., and Patra, S. (2016). Measurement and Classification of Power Quality Disturbances Using Wavelet Based Neural Network. i-manager’s Journal on Power Systems Engineering, 3(4), 12-17. https://doi.org/10.26634/jps.3.4.4801

Abstract

References

Full Article (HTML)

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Improvement of Power Quality With Multi Input Renewable Energy Sources for Non-Linear Load

S. Kamalakkannan* , D. Kirubakaran**

* Research Scholar, Sathyabama University, Chennai, India. ** Professor and Head, St. Joseph's Institute of Technology, Chennai, India.

Kamalakkannan, S., and Kirubakaran, D. (2016). Improvement of Power Quality With Multi Input Renewable Energy Sources for Non-Linear Load. i-manager’s Journal on Power Systems Engineering, 3(4), 18-24. https://doi.org/10.26634/jps.3.4.4802

Abstract

References

Full Article (HTML)

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Design and Study of Wind-Solar Hybrid System for Domestic Application

Nikhil V. Nayak* , P.P. Revankar**, M.B. Gorawar***

* Department of Mechanical, B.V. Bhoomaraddi College, Hubli, India. ** Department of Mechanical, B.V. Bhoomaraddi College, Hubli, India. *** Department of Mechanical, B.V. Bhoomaraddi College, Hubli, India.

Nayak, N. V., Revankar, P. P., and Gorawar, M. B. (2016). Design and Study of Wind-Solar Hybrid System for Domestic Application. i-manager’s Journal on Power Systems Engineering, 3(4), 25-34. https://doi.org/10.26634/jps.3.4.4803

Abstract

References

Full Article (HTML)

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Detection and Location of Faults in Three Phase 11kv Underground Power Cables By Discrete Wavelet Transform (DWT)

Prabhavathi. D* , Surya Kalavathi M**, Prakasam K***

*-*** Research Scholar, Department of Electrical and Electronics Engineering, JNTUA, India. ** Professor, Department of Electrical and Electronics Engineering, JNTUCEH, JNTUH India.

Prabhavathi, D., Kalavathi, M. S., and Prakasam, K. (2016). Detection and Location of Faults in Three Phase 11kv Underground Power Cables By Discrete Wavelet Transform (DWT). i-manager’s Journal on Power Systems Engineering, 3(4), 35-44. https://doi.org/10.26634/jps.3.4.4804

Abstract

References

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M. Lakshmikantha Reddy* , M. Ramprasad Reddy, V.C. Veera Reddy*

* PG Student, Department of Electrical Engineering, Birla Institute of Technology, Mesra, India.

** Associate Professor, Department of Electrical Engineering, Assam Engineering College, Guwahati, India.

* Research Scholar, Sathyabama University, Chennai, India.

** Professor and Head, St. Joseph's Institute of Technology, Chennai, India.

Nikhil V. Nayak* , P.P. Revankar, M.B. Gorawar*

* Department of Mechanical, B.V. Bhoomaraddi College, Hubli, India.

Department of Mechanical, B.V. Bhoomaraddi College, Hubli, India.

* Department of Mechanical, B.V. Bhoomaraddi College, Hubli, India.

Prabhavathi. D* , Surya Kalavathi M, Prakasam K*

- Research Scholar, Department of Electrical and Electronics Engineering, JNTUA, India.

Professor, Department of Electrical and Electronics Engineering, JNTUCEH, JNTUH India.