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

Current Issue Vol. 17 Issue 4

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

Most Cited

Volume 10 Issue 1 July - September 2016

Research Paper

Open Loop Speed Control of Brushless DC Motor Using Low Cost ArduinoUNO Processor

Devendra Potnuru* , 0, Sai Babu Ch.*

* Associate Professor, Department of Electrical and Electronics Engineering, GMR Institute of Technology, Rajam, AP, India.

Professor, Department of Electrical and Electronics Engineering, Gudlavalleru Engineering College, Gudlavalleru, AP, India.

* Professor and Registrar, Department of Electrical and Electronics Engineering, Jawaharlal Nehru Technological University, Kakinada, AP, India.

Potnuru, D., Mary K. A., and Babu Ch. S. (2016). Open Loop Speed Control Of Brushless Dc Motor Using Low Cost Arduino Uno Processor. i-manager’s Journal on Electrical Engineering, 10(1), 1-6. https://doi.org/10.26634/jee.10.1.8190

Abstract

This paper deals with open loop speed control of Brushless DC motor (BLDC) using Arduino UNO processor. Real-time implementation of the drive in open loop speed control has been performed in which speed of the motor depends on the input voltage given to the stator winding and it is nothing but duty cycle setting. The open loop speed control is also useful in many practical applications however, the present work mainly deals with studying the running performance of the drive without using any speed feedback arrangement. That means, the speed of the motor may vary when it is subjected to load variations and/or supply voltage variations. The validity of the proposed approach is proven through experimentation on BLDC motor using low cost Arduino UNO processor. Speed Control of BLDC motor using other microcontroller requires more hardware and increases the cost, and the availability of Arduino with versatile features motivated to develop a cost effective and reliable control with variable speed range. In the present work, an algorithm which uses the Hall sensor signals acquired from the motor is developed and the program has been written using Arduino. This program generates the firing pulses required to drive the MOSFETs of three phase fully controlled bridge converter driven by IR2101 FET drivers. Later the program which has been dumped on the Arduino and tested with the 24 V, 80 W, 1500 rpm BLDC motor which can make the motor run at constant speed ranging from 6 to 1500 rpm. The proposed hardware and the program are found to be efficient and the results are promising.

References

[1]. Bist, V., Member, S., & Singh, B. (2014). “A Brushless DC Motor Drive With Power Factor”. IEEE Transactions on Industrial Informatics, Vol.10, No. 4, pp. 2064–2072.

[2]. Bist, V., & Singh, B. (2015). “PFC Cuk Converter-Fed BLDC Motor Drive”. IEEE Transactions on Power Electronics, Vol. 30, No. 2, pp. 871–887.

[3]. Bose, B.K. (2002). Modern Power Electronics and AC Drives. Prentice-Hall.

[4]. Bose, B.K. (2009). “Power Electronics and Motor Drives Recent Progress and Perspective”. Industrial Electronics, IEEE Transactions on, Vol. 56, No. 2, pp. 581–588.

[5]. Chern, T.-L., Liu, L.-H., Tien, C.-W., & Chen, C.-Y. (2009). “DSP-based brushless DC motor sensorless drivers with sine PWM”. In 2009 International Conference on Power Electronics and Drive Systems (PEDS).

[6]. Damodharan, P., & Vasudevan, K. (n.d.). “Indirect Back-EMF Zero Crossing Detection for Sensorless BLDC Motor Operation”. In 2005 International Conference on Power Electronics and Drives Systems, Vol. 2, pp. 1107–1111.

[7]. Lee, B.K., & Ehsani, M. (2003). “Advanced Simulation Model for Brushless DC Motor Drives”. Electric Power Components and Systems, Vol. 31, No. 9, pp. 841-868.

[8]. Salah, W., Ishak, D., & Hammadi, K. (2011). “PWM Switching Strategy for Torque Ripple Minimization in BLDC Motor”. Journal of Electrical Engineering, Vol. 62, No. 3, pp. 141–146.

[9]. Samoylenko, N., & Jatskevich, J. (2008). “Dynamic Performance of Brushless DC Motors With Unbalanced Hall Sensors”. IEEE Transactions on Energy Conversion, Vol. 23, No. 3, pp. 752–763.

[10]. Sathyan, Milivojevic, N., Lee, Y.-J., Krishnamurthy, M., & Emadi, (2009). “An FPGA-Based Novel Digital PWM Control Scheme for BLDC Motor Drives”. IEEE Transactions on Industrial Electronics, Vol. 56, No. 8, pp. 3040–3049.

[11]. Singh, B. (1997). “Recent advances in permanent magnet brushless DC motors”. Sadhana. http://doi.org/ 10.1007/BF02745848

[12]. Singh, B., & Singh, S. (2009). “State-of-the-art on permanent magnet brushless DC motor drives”. Journal of Power Electronics, Vol. 9, No. 1, pp.1–17.

[13]. Siwakoti, Y. P., & Town, G. E. (2013). “Design of FPGAcontrolled power electronics and drives using MATLAB Simulink”. 2013 IEEE ECCE Asia Downunder, pp. 571–577.

[14]. Yedamale, P. (2003). “Brushless DC (BLDC) motor fundamentals”. Microchip Technology Inc, pp.1–20.

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Research Paper

A review on piezoelectric effect and its application with future prospects

Shivang Jitendra Khare* , Nitin Sharma, Santosh Kumar*

- UG Scholar, Department of Electrical Engineering, DIT University, Dehradun, India.

Assistant Professor, Department of Electronics and Communication Engineering, DIT University, Dehradun, India.

Khare, S.J., Sharma, N., and Kumar, S. (2016). A review on piezoelectric effect and its application with future prospects. i-manager’s Journal on Electrical Engineering, 10(1), 7-13. https://doi.org/10.26634/jee.10.1.8192

Abstract

In the present era as there is a decrease in energy consumption of portable electronic devices, the hypothesis of harvesting renewable energy in our surroundings provoke a renewed interest. The need for energy is also increasing at a fast rate, which has exhausted lots of resources. So, there is a need to produce more energy. Mechanical energy harvesting happens to be the most prominent energy harvesting technique. This utilizes piezoelectric components where electric charge is generated by deformations produced. This technical paper emphasis on one such method through piezoelectric material. The motive is to obtain pollution–free energy source and to utilize the energy being wasted. A piezoelectric substance is one that produces an electric charge when a mechanical stress is applied. Piezoelectric materials can be used as a mechanism to transfer mechanical energy, usually ambient vibration, into electrical energy that can be stored and used to power other devices. Conversely, a mechanical deformation is produced when an electric field is applied. Piezo-film can generate enough electrical density that can be stored in a rechargeable battery for later use. Currently, there is a need to utilize other forms of energy at passenger terminals like airports and railways across the world. Cleaner, more useful forms of electrical power are needed in order to keep costs lower and to ensure a pollution free environment for future generations. The use of piezoelectric devices installed in the terminals will capture the kinetic energy from foot traffic. Such a source of power can then be used to operate lighting systems. In this paper, the concept of piezoelectricity and piezoelectric effect is well discussed. The various applications based on piezoelectric effect are also elaborated. Future prospects regarding piezoelectric materials in day-to-day life are also well highlighted.

References

[1]. Dutta U.S., Prabhu S.A., Karthik M., and Ramkumar T, (2013). “ Water fall Power Generation System”. International Journal of Innovation in Engineering and Technology, Vol. 3, No. 2, pp. 131-133.

[2]. Perera K.C.R., Sampath B.G., Dassanayake V.P.C., and Hapuwatte B.M. (2014). “Harvesting of Kinetic Energy of the Raindrops”. International Journal of Mathematical, Computational, Physical and Electrical and Computer Engineering, Vol. 8.

[3]. BobyK., Paul A., Anumol C.V, Thomas J. A., and Nimisha K.K. (2014). “Footstep Power Generation using piezoelectric transducers”. International Journal of Engineering and Innovative Technology, Vol. 3, No. 10, pp. 264-267.

[4]. Dikshit T., Shrivastava D., Gorey A., Gupta A., Parandkarand P., and Katiyal S. (2010). “Energy harvesting via piezoelectricity”. BVICAM's International Journal of Information Technology, Vol. 2, No. 2, pp. 265- 270.

[5]. Chaudhary A. and Gupta A. (2013). “Piezoelectric based energy source model for street lights”. International Journal of Engineering Research and Technology, Vol. 2, No. 11, pp. 1290-1292.

[ 6 ] . B h a g d i ka r P. , G u p t a S . , Ra n a N . , a n d Jegadeeshwaran R. (2014). “Generation of electricity with the use of speed breakers”. International Journal of Advances in Engineering and Technology, Vol. 7, pp. 589- 595.

[7]. Pramathesh T., and Ankur S. (2013). “Piezoelectric Crystals: Future Source of Electricity”. International Journal of Scientific Engineering and Technology, Vol. 2, No. 4, pp. 260-262.

[8]. Minzara E., Vasic D., and Costa F. (2008). “Piezoelectric Generator Harvesting Bike Vibrations Energy to Supply Portable Devices”. International Conference on Renewable Energies and Power Quality, La Coruña, Vol. 1, No. 6, pp. 508-513.

[9]. Aswathaman V., and Priyadharshini M. (2011). “Every Speed Breaker Is Now a Source of Power”. International Conference on Biology, Environment and Chemistry, Vol. 1, pp. 234-236.

[10]. Ankita, and Bala M. (2013). “Power Generation from Speed Breakers”. International Journal of Advance Research in Science and Engineering, Vol. 2, pp. 1-10.

[11]. Kalyanaraman K., and Babu J. (2010). “Power Harevesting System in Mobile Phones and Laptops using Piezoelectric Charge Generation”. Proceedings of World Congress on Engineering and Computer Science, Vol. 2.

[12]. Arjun A.M., Sampath A., Thiyagarajan S., and Arvind V. (2011). “A novel approach to recycle energy using piezoelectric cr ystals”. International Journal of Environmental Science and Development, Vol. 2, No. 6, pp. 488-492.

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Research Paper

Design of Grid Connected PV System using PVsyst

Rachit Srivastava* , V. K. Giri**

* Research Scholar, Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India.

** Professor, Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India.

Srivastava, R., and Giri, V.k. (2016). Design of Grid Connected PV System using PVsyst. i-manager’s Journal on Electrical Engineering, 10(1), 14-18. https://doi.org/10.26634/jee.10.1.8195

Abstract

Photovoltaic system simulation software is very important in prediction of output electricity from the PV system. In this paper, Grid connected photovoltaic system is simulated using the PVsyst software. In this study, PVsyst software is used to design a grid connected PV system for Madan Mohan Malaviya University of Technology, Gorakhpur in India. The detailed system configuration, system output and system losses are determined in this study. From the previous simulation by the HOMER software, optimal size of the PV system is determined, that is able to supply the electricity to the university throughout the year. It is founded that 2000 PV module and 10 grid connected inverter is the optimal solution for the load of university. About 901.44 Mwh electricity will be available to the grid in a year.

References

[1]. Mellit and S.A. Kalogirou, (2008). “Artificial intelligence techniques for photovoltaic applications: A review”. Progress in Energy and Combustion Science, Vol. 34, No. 5, pp. 574-632.

[2]. Nur Dalilah Nordin and Hasimah Abd Rahman, (2015). “Pre-installation design simulation tool for grid connected photovoltaic system using iterative methods”. Energy Procedia, Vol. 68, pp. 68-76.

[3]. S.I. Sulaiman, et al. (2011). “Sizing grid-connected photovoltaic system using genetic algorithm”. IEEE Symposium on Industrial Electronics and Applications (ISIEA), pp. 505-509.

[4]. S. I. Sulaiman, et al. (2012). “An intelligent method for sizing optimization in grid-connected photovoltaic system”. Solar Energy, Vol. 86, No. 7, pp. 2067-2082.

[5]. P. Karki, B. Adhikary and K. Sherpa, (2012). “Comparative study of grid-tied photovoltaic (PV) system in Kathmandu and Berlin using PVsyst”. IEEE ICSET.

[6]. S.K. Kyprianou et al. (2010). “Feasibility study of a 150 kWp photovoltaic park in Cyprus”. 7^th Mediterranean Conference and Exhibition on Power Generation, Transmission, Distribution and Energy Conversion, Agia Napa, Cyprus, pp. 7-10.

[7]. Y.M. Irwan, et al. (2015). “Stand-Alone Photovoltaic (SAPV) System Assessment using PVSYST Software”. Energy Procedia, Vol. 79, pp. 596-603.

[8]. Elieser Tarigan, et al. (2015). “Techno-Economic Simulation of a Grid-Connected PV System Design as Specifically Applied to Residential in Surabaya, Indonesia”. Energy Procedia, Vol. 65, pp. 90-99.

[9]. PVsyst: Software for Photovoltaic System. Retrieved from http://www.pvsyst.com/en/

[10]. Rachit Srivastava and Vinod Kumar Giri, (2016). “Techno-Economical Analysis of Grid Connected Photovoltaic System for a University in India”. International Journal of Renewable Energy Research, Vol. 6, No. 2, pp. 535-540.

[11]. W. Margaret Amutha and V. Rajini, (2015). “Tehcoeconomic evaluation of various hybrid power systems for rural telecom”. Renewable Energy, Vol. 43, pp. 553-561.

[12]. M. Chikh, et al. (2011). “PVSST 1.0 sizing and simulation tool for PV systems”. Energy Procedia, Vol. 6, pp. 75-84.

[13]. Sukam Power System Pvt. Lt., India. Retrieved from http://www.su-kam.com

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Research Paper

Modeling of a Variable Speed Drive Using Adaptive Fuzzy System

J. N. Chandra Sekhar* , G. V. Marutheswar**

* Assistant Professor, Department of Electrical and Electronics Engineering, Sri Venkateswara University College of Engineering, Tirupati, India.

** Senior Professor, Department of Electrical and Electronics Engineering, Sri Venkateswara University College of Engineering, Tirupati, India.

Sekhar, J.N.C.,and MarutheswarG. V. (2016). Modeling of a Variable Speed Drive Using Adaptive Fuzzy System. i-manager’s Journal on Electrical Engineering, 10(1), 19-25. https://doi.org/10.26634/jee.10.1.8197

Abstract

This paper presents the operation of Space Vector Modulation (SVM) based DTC scheme for a Voltage Source Inverter fed Induction Motor Drive. Firstly, the performance of existing model is studied with Fuzzy Logic Controller. In order to incorporate better dynamic response, the discussed model is further simulated using Adaptive Fuzzy Controller. Simulations results obtained with these controllers are presented and compared. It may be inferred that Adaptive Fuzzy based model exhibit better operational features with regard to torque and flux response. The performance of this control method has been demonstrated by simulations done using MATLAB/SIMULINK tool.

References

[1]. Takahashi, I., and Noguchi, T. (1986). “A new quickresponse and high-efficiency control strategy of an induction motor ”. IEEE Transactions on Industry Applications, Vol. 22, No. 5, pp. 820–827.

[2]. Novotny, D.W., and Lipo, T.A. (1996). Vector Control and Dynamics of AC Drives. Vol. 41. Oxford, United Kingdom: Oxford University Press.

[3]. P. Vas, (1998). Sensorless Vector and Direct Torque Control. Oxford University Press.

[4]. B.K. Bose, (1986). Power Electronics and AC Drives. Prentice-Hall.

[5]. Rashid, M.H., and Luo, F.L. (2006). Power Electronics Handbook Devices, Circuits, and Applications (2nd Ed.). United States: Academic Press.

[6]. R.J Lee, P. Pillay, R.G Harley, (1984). “D-Q Reference frame for simulation of induction motor”. IEEE Transactions on Power Delivery, Vol. 14, No. 2.

[7]. PVRL, Narasimham, Sarma, VVRS, and E, Vaigil kumar, (2010). “A Sector Advanced Technique to Improve Dynamic Response of DTC of Induction Motor”. IEEE Transactions on Power Delivery, Vol. 14, No. 2.

[8]. Gupta, N.P., and Gupta, P. (2012). Performance analysis of direct torque control of PMSM drive using th SVPWM–inverter. 2012 IEEE 5 India International Conference on Power Electronics (IICPE).

[9]. Ben-Brahim, L., and Kurosawa, R. (1993). “Identification of Induction Motor Speed using Neural Networks”. Conference Record of the Power Conversion Conference - Yokohama 1993.

[10]. Bertoluzzo, M., Buja, G., and Menis, R. (1999). “Analytical formulation of the direct control of induction motor drives”. ISIE '99. Proceedings of the IEEE International Symposium on Industrial Electronics (Cat. No.99TH8465).

[11]. F. Blaschke, (1972). “The principle of fiels-orientation as applied to the Transvector closed-loop control system for rotating-field machines”. Siemens Review, Vol. 34, pp. 217-220.

[12]. Tao, W., and Liang, Z. (2011). “Simulation of vector control frequency converter of induction motor based on Matlab/Simulink”. 2011 Third International Conference on Measuring Technology and Mechatronics Automation.

[13]. M.L Swarupa, G.T.R. Das, P.V Gopal, (2009). “Simulation and Analysis of SVPWM Based 2-level and 3- level Inverter of DTC of Induction Motor”. International Journal of Electronic Engineering Research, Vol. 1, No. 3, pp. 169-184.

[14]. Wang, L.X, (1994). Adaptive Fuzzy Systems and Control: Design and Stability Analysis. Englewood Cliffs, Prentice Hall.

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Research Paper

Comparative Performance Analysis of PID, Fuzzy-Mamdani, Fuzzy-Sugeno and ANFIS for Automatic Generation Control of Multi-Area Power System

Umesh Kumar Singh* , L. B. Prasad**

* PG Scholar, Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India.

** Assistant Professor, Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India.

Singh, U.K., and Prasad, L. B. (2016). Comparative Performance Analysis of PID, Fuzzy-Mamdani, Fuzzy-Sugeno and ANFIS for Automatic Generation Control of Multi-Area Power System. i-manager’s Journal on Electrical Engineering, 10(1), 26-34. https://doi.org/10.26634/jee.10.1.8199

Abstract

Automatic Generation Control (AGC) insures a sufficient, reliable and good quality of power to the consumer. It insures that the amount of power available should be sufficient and the frequency deviation is within the rated limit. Any mismatch between generation and demand causes deviation in the system frequency from its nominal value. If load is continuously changing in nature, the frequency deviation goes on increasing, which may lead to system collapse. So in order to maintain the stability in power generation, a very fast and accurate controller is needed to maintain the nominal system frequency. In this paper, Proportional- Integral-Derivative controller and artificial intelligent controllers such as Fuzzy-Mamdani, Fuzzy-Sugeno and Adaptive Neuro Fuzzy Inference System (ANFIS) has been presented for AGC of fourarea (Thermal-Nuclear-Thermal-Hydro) interconnected power system including Generation Rate Constraint (GRC).

References

[1]. Gayadhar Panda, Sidharth Panda and Cemal Ardil, (2009). “Automatic generation control of interconnected power system with GRC byhybrid neuro-fuzzy approach”. World Academy of Science Engineering and Technology, Vol. 6, No.4, pp. 543-548.

[2]. Mavungu Masiala, Mohsen Ghribi and Azeddine Kaddouri, (2012). “A Two-Layered Load and Frequency Controller of a Power System, Fuzzy Controllers”. Recent Advances in Theory and Applications, pp. 503-518.

[3]. O.I. Elgerd, C.E. Fosha, (1970). “Optimum megawatt frequency control of multi-area electric energy systems”. IEEE Transation on PAS, Vol. PAS-89, No.4, pp. 556-563.

[4]. J. Nanda, B. Kaul, (1978). “Automatic generation control of an interconnected power system”. IEEE Proceedings, pp. 385-390.

[5]. J.R. Jung, (1993). “ANFIS, Adaptive Network based Fuzzy Inference System”. IEEE Transation on System, Man and Cybernetics, Vol. 23, No. 3, pp. 665-685.

[6]. Swasti R. Khuntia, and Sidhartha Panda, (2011). “A Novel approach for automatic generation control of multi-area power system”. IEEE Conference on Electrical and Computer Engineering, pp. 1182-1187.

[7]. D.P. Kothari, and I.J. Nagrath, (2009). Modern Power System Analysis. Third Edition 2009.

[8]. A. Demiroren, and E. Yesil, (2004). “Automatic generation control with fuzzy logic controllers in power system including SMES unit”. International Journal of Electrical Power and Energy Systems, pp. 291-305.

[9]. Surya Praksah and Sunil Kumar Sinha, (2015). “Performance evalution of hybrid intelligent controllers in load frequency of multi-area interconnected power system”. World Academy of Science, Engineering and Technology, pp. 637-645.

[10]. T. Ichikawa, (1976). Dynamics of Nuclear Power Plant in Electric Power System (Part 1)-BWR Plant. CRIEPI Report No. 175079.

[11]. Sanjoy Debbarma, and Lalit Chandra Saikia, (2012). “Automatic generation control of multi-area system using non-integer I?Dµ controller”. IEEE Transaction on Power and Engineering in NERIST, pp. 1-6

[12]. Kaveh Rahimi and Parviz Famouri, (2013). “Performance enhancement of automatic generation control for a multi-area power system in the presence of communication delay ”. North American Power Symposium, pp. 1-6.

[13]. II Kim, Jae-Hyun Lee, and Eun-oh Bang, (1999). “A new approach to adaptive membership function for fuzzy inference system”. IEEE Conference on Knowledge Based Intelligent Information System, pp. 112-116.

[14]. Otman, M. Ahtiwash, Mohz. Z. Abdulmuin and Fatimah Siraj, (2002). “A neural-fuzzy logic approach for modelling and control of non-linear system”. IEEE International Symposium on Intelligent Control, pp. 270-275.

[15]. B.H. Simon, R. Raghavan, and T. Tochigi, (1993). “Control of multiple nuclear power plant from a single detached and control facility”. IEEE Conference on Nuclear Science Symposium, pp. 941-945.

[16]. M. Parida, and J. Nanda, (2005). “Automatic generation control of a hydro-thermal sysem in deregulated environment”. IEEE Proceedings on Electrical Machines and Systems, pp. 942-947.

[17]. L.J Puthmana, and J. Abdul Jaleel, (2011). “Performance evalution of AGC of SHP multi-area power system”. IEEE Conference on Power and Energy System, pp. 01-05.

[18]. K.V. Siva Reddy, (2013). “An adaptive neuro-fuzzy logic controller for a two area load frequency control”. International Journal of Engineering Research and Application, pp. 989-995.

[19]. C. Srinivasa Rao, (2012). “Aadptive neuro fuzzy based load frequency control of multi-area system under open market scenario”. IEEE Conference on Advances in Engineering Science and Management, pp. 05-10.

[20]. A. Alwadie, (2012). “Stablizing load frequency of a single area power system with uncertain parameters through a genetically tuned PID controller”. International Journal of Engineering and Computer Science, pp. 51- 57.

[21]. Javad Javidan, and Ali Ghasemi, (2013). “A novel fuzzy RPID controller for multi-area automatic generation control with IABC optimization”. Hindawi Publishing Corporation Journal of Engineering, pp. 01-13.

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Research Paper

Design and Implementation of Street Lighting Plan for Optimum Energy Saving

Shekhappa G. Ankaliki* , B. R. Umarane, Shivanand D. Hirekodi*

* Professor & PG Coordinator, Department of Electrical & Electronics Engineering, SDM College of Engg & Tech, Dharwad, Karnataka, India.

Assistant Professor & HOD, Department of Electrical & Electronics Engineering, Hirasugar Institute of Technology, Nidasoshi, Karnataka, India.

* Assistant Professor & Maintenance Engineer, Department of Electrical & Electronics Engineering, Hirasugar Institute of Technology, Nidasoshi, Karnataka, India.

Ankaliki, S. G., Umarane, B.R., and Hirekodi, S. D. (2016). Design and Implementation of Street Lighting Plan for Optimum Energy Saving. i-manager’s Journal on Electrical Engineering, 10(1), 35-41. https://doi.org/10.26634/jee.10.1.8200

Abstract

This paper presents the design of energy efficient street lighting plan and its implementation to a professional institution for optimum energy saving. Even though the initial cost to implement the plan is more, a considerable amount of energy saving can be obtained by choosing the efficient street lighting plan and energy efficient long life lamps. The design of street lighting scheme includes campus survey, selection of street lighting poles, cross arms and fittings as per manufacturer guidelines for proper illumination and energy efficiency. The optimum energy saving can be achieved by installing high power cool LED fittings. The designed energy efficient street lighting plan is suggested for professional institution and is implemented. This will help to increase the reliability of the electric supply and provides a considerable amount of savings in electricity charges.

References

[1]. Shekhappa G. Ankaliki, (2010). “Energy Conservative Measures by Energy Audit and Load Management”. International eJournal of Mathematics and Engineering, Vol. 96, pp. 895 - 902. ISSN 0976 – 1411

[2]. J. Gopalachar and C. Harinatha Reddy, (2001). “Demand-side Management for Improved Energy Efficient System”. Proceedings of the Twenty- fifth National Systems Conference (NSC-2001), PSG College of Technology, Coimbatore, pp. 455-459.

[3]. Gopinath S., (2001). “Energy Audit Principles, Scope and Methodologies”. Workshop on Renewable Energy Sources and Energy Audit, PSTI, Bangalore.

[4]. Shekhappa G. Ankaliki and A.D. Kulkarni, (2006). “Energy Management & Conservation Strategies”. Proceedings of International Technical Symposium TECHNOMILLENNIUM, Aurangabad, India, pp. 88-86.

[5]. Energy Efficient Street Lighting Guidelines, version 2.0, June 2010. pp. 1-14.

[6]. http://www.gloucestershire.gov.uk/LEDSL

[7]. http://www.kptcl.com/

[8]. Website of Maharashtra State Electricity Board.

[9]. www.Larsen & Tourbo.com.

[10]. Handbook of Devaki Energy Consultancy Pvt. Ltd.

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

Current Issue Vol. 17 Issue 4

Most Read

Most Cited

Volume 10 Issue 1 July - September 2016

Open Loop Speed Control of Brushless DC Motor Using Low Cost ArduinoUNO Processor

Devendra Potnuru* , 0**, Sai Babu Ch.***

Potnuru, D., Mary K. A., and Babu Ch. S. (2016). Open Loop Speed Control Of Brushless Dc Motor Using Low Cost Arduino Uno Processor. i-manager’s Journal on Electrical Engineering, 10(1), 1-6. https://doi.org/10.26634/jee.10.1.8190

Abstract

References

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A review on piezoelectric effect and its application with future prospects

Shivang Jitendra Khare* , Nitin Sharma**, Santosh Kumar***

*-** UG Scholar, Department of Electrical Engineering, DIT University, Dehradun, India. *** Assistant Professor, Department of Electronics and Communication Engineering, DIT University, Dehradun, India.

Khare, S.J., Sharma, N., and Kumar, S. (2016). A review on piezoelectric effect and its application with future prospects. i-manager’s Journal on Electrical Engineering, 10(1), 7-13. https://doi.org/10.26634/jee.10.1.8192

Abstract

References

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Design of Grid Connected PV System using PVsyst

Rachit Srivastava* , V. K. Giri**

* Research Scholar, Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India. ** Professor, Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India.

Srivastava, R., and Giri, V.k. (2016). Design of Grid Connected PV System using PVsyst. i-manager’s Journal on Electrical Engineering, 10(1), 14-18. https://doi.org/10.26634/jee.10.1.8195

Abstract

References

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Modeling of a Variable Speed Drive Using Adaptive Fuzzy System

J. N. Chandra Sekhar* , G. V. Marutheswar**

* Assistant Professor, Department of Electrical and Electronics Engineering, Sri Venkateswara University College of Engineering, Tirupati, India. ** Senior Professor, Department of Electrical and Electronics Engineering, Sri Venkateswara University College of Engineering, Tirupati, India.

Sekhar, J.N.C.,and MarutheswarG. V. (2016). Modeling of a Variable Speed Drive Using Adaptive Fuzzy System. i-manager’s Journal on Electrical Engineering, 10(1), 19-25. https://doi.org/10.26634/jee.10.1.8197

Abstract

References

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Comparative Performance Analysis of PID, Fuzzy-Mamdani, Fuzzy-Sugeno and ANFIS for Automatic Generation Control of Multi-Area Power System

Umesh Kumar Singh* , L. B. Prasad**

* PG Scholar, Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India. ** Assistant Professor, Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India.

Singh, U.K., and Prasad, L. B. (2016). Comparative Performance Analysis of PID, Fuzzy-Mamdani, Fuzzy-Sugeno and ANFIS for Automatic Generation Control of Multi-Area Power System. i-manager’s Journal on Electrical Engineering, 10(1), 26-34. https://doi.org/10.26634/jee.10.1.8199

Abstract

References

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Design and Implementation of Street Lighting Plan for Optimum Energy Saving

Shekhappa G. Ankaliki* , B. R. Umarane**, Shivanand D. Hirekodi***

Ankaliki, S. G., Umarane, B.R., and Hirekodi, S. D. (2016). Design and Implementation of Street Lighting Plan for Optimum Energy Saving. i-manager’s Journal on Electrical Engineering, 10(1), 35-41. https://doi.org/10.26634/jee.10.1.8200

Abstract

References

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Devendra Potnuru* , 0, Sai Babu Ch.*

Shivang Jitendra Khare* , Nitin Sharma, Santosh Kumar*

- UG Scholar, Department of Electrical Engineering, DIT University, Dehradun, India.

Assistant Professor, Department of Electronics and Communication Engineering, DIT University, Dehradun, India.

* Research Scholar, Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India.

** Professor, Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India.

* Assistant Professor, Department of Electrical and Electronics Engineering, Sri Venkateswara University College of Engineering, Tirupati, India.

** Senior Professor, Department of Electrical and Electronics Engineering, Sri Venkateswara University College of Engineering, Tirupati, India.

* PG Scholar, Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India.

** Assistant Professor, Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India.

Shekhappa G. Ankaliki* , B. R. Umarane, Shivanand D. Hirekodi*