@Research Paper
<#LINE#>Mitigation of voltage disturbances (Sag/Swell) utilizing dynamic voltage restorer (DVR)<#LINE#>Srishti @Verma,Anupama @Huddar <#LINE#>1-7<#LINE#>1.ISCA-RJEngS-2017-064.pdf<#LINE#>Electrical Engineering Department, Bhilai Institute of Technology, Durg, CG, India@Electrical Engineering Department, Bhilai Institute of Technology, Durg, CG, India<#LINE#>8/4/2017<#LINE#>2/9/2017<#LINE#>The paper focuses in the working of Dynamic Voltage Restorer (DVR), a series compensating device utilized for mitigating the events of voltage sag and swell which are most crucial and frequent phenomena occurring in transmission and distribution network. The sag and swell have severe impact to industrial customers ranging from disruptions of sensitive loads to substantial economic losses up to millions of dollars. The control algorithm used for detection of voltage disturbance depends on the theory of synchronous reference frame utilizing park’s transformation. The sinusoidal pulse width modulation technique is used for the generation of triggering pulses for IGBT’s of voltage source inverter. Matlab/Simulink is used for simulation of the proposed methodology and the result of simulation verifies the proposed scheme.<#LINE#>PQS (2000).@Power Quality Solutions for Industrial Customers.@California Energy Commission.@No$Shankaran C. (2002).@Power Quality.@CRC Press, Boca Raton London New York Washington, D.C., ISBN 0-8493-1040-7.@Yes$Hingorani N.G. (1995).@Introducing Custom Power.@IEEE Spectrum, 32(6), 4l-48.@Yes$IEEE P 1159 Working Group (1994).@Recommended practice for monitoring electric power quality.@Technical report, Draft 5.@Yes$Omar R. and Rahim N.A. (2008).@Modelling and Simulation for Voltage Sags/Swells Mitigation using Dynamic Voltage Restorer.@Australasian Universities Power Engineering Conference, Paper p-027, 1-6.@Yes$Boonchiam P., Apiratikull P., and Mithulananthan N. (2006).@Understanding of Dynamic Voltage Restorer through Matlab Simulation.@Thammasat Int. J. Sc. Tech., 11(3), 1-6.@Yes$Nielsen J.G., Newman M., Nielsen H. and Blaabjerg F. (2004).@Control and Testing of a Dynamic Voltage Restorer at medium voltage level.@IEEE Transactions on Power Electronics, 19(3), 806-813.@Yes$Ghosh A. and Ledwich G. (2002).@Power Quality Enhancements Using Custom Power Devices.@Kluwer Academic Publishers.@Yes$Chaudhary S.H. and Gangil Gaurav (2014).@Analysis, Modelling and Simulation of Dynamic Voltage Restorer for Compensation of Voltage sag-swell Disturbances.@IOSR Journal of Electrical and Electronics Engineering, 9(3), 36-41.@No$Francis D. and Thomas T. (2014).@Mitigation of Voltage sag and swell using Dynamic Voltage Restorer.@International Conference on magnetic and Drives, 1-6, 978-1-4799-5202-1/14.@Yes
@Short Communication
<#LINE#>Space vector pulse width modulation based two level inverter<#LINE#>Shashank @Tiwari,Sanjaya Kumar @Sahu <#LINE#>8-12<#LINE#>2.ISCA-RJEngS-2017-063.pdf<#LINE#>Dept. of Electrical Engineering, Bhilai Institute of Technology, Durg, C.G, India@Dept. of Electrical Engineering, Bhilai Institute of Technology, Durg, C.G, India<#LINE#>8/4/2017<#LINE#>28/8/2017<#LINE#>With the rapid development of semiconductor devices, a variety of pulse width modulation (PWM) methods have been developed in order to provide gating signals to the inverter. Popularly used methods for various industrial applications are sinusoidal PWM and space vector PWM. In contrast to SPWM, SVPWM is more advantageous because of its simple implementation and better utilization of DC bus voltage. This paper presents the implementation of SVPWM from sinusoidal PWM by addition of common mode component to sinusoidal phase voltage. The sampled value of sinusoidal phase voltage produces the time equivalent of phase voltage signal, which when passed through PWM generator drives the inverter. The simulation results shows feasibility of this technique for various values of modulation index.<#LINE#>Wang Fei (2002).@Sine-Triangle versus Space-Vector Modulation for Three-Level PWM Voltage-Source Inverters.@IEEE Transactions on Industry Applications, 38 (2), 500-506.@Yes$Bose Bimal K. (2016).@Modern power electronics and AC drives.@Pearson Education, India, 228-240. ISBN:  978-01-30167-43-9.@No$Gaballah Mahmoud, El-Bardini Mohammed, Sharaf Soliman and Mabrouk Mohammed (2011).@Implementation of Space Vector-PWM for driving two level voltage source inverters.@Journal of Engineering Sciences, Assiut University, 39(4), 871-884.@Yes$Bhalla Simran and Kumar Jagdish (2015).@Implementation of Space Vector Modulation for Two Level Inverter and its Comparison with SPWM.@International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 4(6), 5012-5019.@No$McGrath Brendan Peter, Holmes Donald Grahame and Lipo Thomas (2003).@Optimized Space Vector Switching Sequence for Multilevel Inverters.@IEEE Transactions on Power Electronics, 18(6), 1293-1301.@Yes$Kubeitari M., Alhusayn A. and Alnahar M. (2012).@Space Vector PWM simulation for three phase AC/DC Inverter.@World Academy of Science, Engineering and Technology, 6(12), 644-649.@Yes$Patakor Fizatul Aini, Sulaiman Marizan and Ibrahim Zulkifilie (2011).@Comparison Performance of Induction Motor Using SVPWM and Hysteresis Current Controller.@Journal of Theoretical and Applied Information Technology, 30(1), 10-17.@Yes
<#LINE#>A mathematical model for simulating canal flows at Ubombo sugar<#LINE#>Msibi @S.T.,Khoza @B.,Simelane @S.C. <#LINE#>13-17<#LINE#>3.ISCA-RJEngS-2017-161.pdf<#LINE#>Ubombo Sugar Limited, P.O. Box 23, Big Bend, Swaziland@Ubombo Sugar Limited, P.O. Box 23, Big Bend, Swaziland@Ubombo Sugar Limited, P.O. Box 23, Big Bend, Swaziland<#LINE#>30/6/2017<#LINE#>15/9/2017<#LINE#>An empirical model is presented for estimating discharge on the Ubombo Sugar Limited (USL) main gravity canal to augment bulk water management and water use efficiency. It uses stage readings obtained from measuring flumes A, B, C, and UPS to simulate discharge. The rationale for the development of the mathematical flow simulation model is the significance of the UPS flume as it measures readings that influence the daily operations of the farm, and the experiences with the ultrasonic flow meter installed in the flume. The model also provides a first for the simulation of accurate flow rates for flumes A, B, and C. A spreadsheet program that enables express prediction of canal flow rates was developed to influence timely implementation of these water management decisions. Calibrations demonstrated that the model is capable of predicting discharge at high accuracy (p>95%), and can be reliably used as a decision support tool for bulk water management. It can also be expanded to include other water measuring structures along Canal 1 and Canal 2, as well as the development of a stand-alone water management application for desktop and mobile computers. Although the model is appropriate for on-farm water management, it was developed for a specific canal and has not been tested for transferability.<#LINE#>Sally H. and Rey J. (1992).@Application of mathematical models for simulation of canal operations at Kirindi Oya, Sri Lanka: preliminary results.@Advancements in IIMI@Yes$Gillies M.H. and Smith R.J. (2015).@SISCO: surface irrigation simulation, calibration and optimisation.@Irrigation Science, 33(5), 339-355.@Yes$Msibi S.T., Kihupi N.I. and Tarimo A.K.P.R. (2014).@An appraisal of water and power budgeting systems for sustainable irrigation at Ubombo.@Research Journal of Engineering Sciences, 3(4), 1-9. ISSN 2278 - 9472.@Yes$Chen Y.C., Kuo J.J., Yu S.R., Liao Y.J. and Yang H.C. (2014).@Discharge estimation in a lined canal using information entropy.@Entropy, 16(3), 1728-1742.@Yes$Montes Sergio (1998).@Hydraulics of Open Channel Flow.@American Society of Civil Engineers, USA. ISBN: 0784403570.@Yes$Chanson Hubert (2004).@Hydraulics of Open Channel Flow.@www.sciencedirect.com/ science/book/ 9780750659789. Accessed on 29/06/2017.@No$Waller Peter and Yitayew Muluneh (2015).@Irrigation and Drainage Engineering.@Springer, ISBN 978-3-319-05698-2.@Yes$Walski T.M., Chase D.V. and Savic D.A. (2001).@Water Distribution Modeling.@Haestad Methods Inc. USA. ISBN: 9780965758048. 480.@No$Tullis J.P. (1989).@Hydraulics of pipelines: Pumps, valves, cavitation, transients.@John Wiley & Sons, Inc, 288. ISBN: 978-0-471-83285-0.@Yes$Lozano D. and Mateos L. (2009).@Field evaluation of ultrasonic flowmeters for measuring water discharge in irrigation canals.@Irrigation and Drainage, 58(2), 189-198.@Yes
@Short Review Paper
<#LINE#>Effect of stone dust on strength of concrete<#LINE#>Ashish Kumar @Patel,S.K. @Jaiswal <#LINE#>18-20<#LINE#>4.ISCA-RJEngS-2017-025.pdf<#LINE#>Department of Civil Engineering, Bhilai Institute of Technology, Durg, CG, India@Department of Civil Engineering, Bhilai Institute of Technology, Durg, CG, India<#LINE#>8/4/2017<#LINE#>2/9/2017<#LINE#>In the presented Research, a fraction of fine aggregate used in concrete is replaced by stone dust, a by-product of stone crushing and the sample cube is tested to determine the compressive strength of concrete. Tests to determine the physical properties of sample cube such as specific gravity, fineness modulus, and moisture content are also performed. Stone dust is best alternative for the fine aggregate because fine aggregate (natural sand) and stone dust has similar physical and mechanical properties. This paper shows some relevant studies regarding the effect of stone dust on mechanical property like compressive strength. Hence in this paper strength and properties of conventional concrete and stone dust concrete are compared so that it will be helpful to other researchers.<#LINE#>Fate S.S. (2014).@Concrete with smart material (manufactured crushed sand)- a review.@International Conference on Advances in Engineering and Technology, 27-29.@No$Kumar A.S. and Rao Krishna B. (2014).@A study on strength of concrete with partial replacement of cement with quarry dust and metakaolin.@International Journal of Innovative Research in Science and Engineering and Technology, 3(3), 10467-10473.@Yes$Bhiksham V., Kishore R. and Raju N.H.M. (2010).@Flexural behavior of high strength stone dust concrete.@Challenges, Opportunities and Solutions in Structural Engineering and Construction-Ghafoori (ed.). Taylor and Francis Group-London, 491-500.@Yes$Wakchaure M.R., Shaikh A.P. and Gite B.E. (2012).@Effect of types of fine aggregate on mechanical properties of cemet concrete.@International Journal of Modern Engineering Research, 2(5), 3723-3726.@Yes$Manchiryal R.K., Dewangan A. and Gupta D.P. (2014).@Implementation and analysis of strength characteristics of concrete using crusted stone dust as fine aggregate.@International Journal of Research in Engineering and Applied Sciences, 4(10), 21-28.@Yes$Reddy M.V. (2010).@investigation on stone dust and ceramic scrap as aggregate replacement in concrete.@International Journal of Civil and Structural Engineering, 1(3), 661-666.@Yes$Patel A.N. and Pitroda J.K. (2013).@Stone waste: Effective replacement of cement for establishing green concrete.@International Journal of Innovative Technology and Exploring Engineering, 2(5), 24-27.@Yes$Abbas S.Y., Srivastava V. and Agarwal V.C. (2015).@Effect of stone dust on compressive strength of concrete an experimental investigation.@International Journal of Engineering Science and Research Technology, 4(2), 538-543.@Yes$Prakash Syam V., Krishnan Dhanya and Jeenu G. (2007).@Influence of fine stone dust on high strength concrete.@Our World in Concrete and Structure. Singapore. 28-29 August, [32nd conference of Singapore Concrete Institute]@Yes
<#LINE#>Control strategies for microgrid operation<#LINE#>Divyansh @Chourey,Anand @Kumar,Jitesh @Kumar,Amit @Kumar,Anup @Mishra <#LINE#>21-23<#LINE#>5.ISCA-RJEngS-2017-071.pdf<#LINE#>Bachelor of Engineering, Electrical and Electronics Engg., Bhilai Institute of Technology, Durg, CG, India@Bachelor of Engineering, Electrical and Electronics Engg., Bhilai Institute of Technology, Durg, CG, India@Bachelor of Engineering, Electrical and Electronics Engg., Bhilai Institute of Technology, Durg, CG, India@Bachelor of Engineering, Electrical and Electronics Engg., Bhilai Institute of Technology, Durg, CG, India@Electrical and Electronics Engg., Bhilai Institute of Technology, Durg, CG, India<#LINE#>8/4/2017<#LINE#>10/9/2017<#LINE#>The increasing usage of non-conventional and distributed generation increases the ideology of minimum fuel consumption and transmission losses respectively. The problem solved by the distributed generation and nonconventional sources are appreciable at a cost of scarifying the existing supply system reliability. The operation of these sources along with the existing system needs very advance but economical methods simultaneously. The “Microgrid” is one of the methods. The microgrid involves the microsources. These microsources needs advance interface with the existing sources for reliable usage. To control the microgrid operation, both with existing system and stand alone, also called “island”, requires various control strategies. This paper proposes the control methods for microgrid operation.<#LINE#>Lasseter R.H. (2002).@MicroGrids.@IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.02CH37309), 1, 305-308. doi: 10.1109/PESW.2002.985003@Yes$Lasseter R.H. and Paigi P. (2004).@Microgrid: a conceptual solution.@IEEE 35th Annual Power Electronics Specialists Conference (IEEE Cat. No.04CH37551), 6, 4285-4290. doi: 10.1109/PESC.2004.1354758@Yes$Brabandere De K., Bolsens B., Keybus Van den J., Woyte A., Driesen J. and Belmans R. (2007).@A Voltage and Frequency Droop Control Method for Parallel Inverters.@IEEE Transactions on Power Electronics, 22(4), 1107-1115. doi: 10.1109/TPEL.2007.900456@Yes$Guerrero J.M., Hang L. and Uceda J. (2008).@Control of Distributed Uninterruptible Power Supply Systems.@IEEE Transactions on Industrial Electronics, 55(8), 2845-2859. doi: 10.1109/TIE.2008.924173@Yes$Guerrero J.M., Chandorkar M., Lee T.L. and Loh P.C. (2013).@Advanced Control Architectures for Intelligent Microgrids-Part I: Decentralized and Hierarchical Control.@IEEE Transactions on Industrial Electronics, 60(4), 1254-1262. doi: 10.1109/TIE.2012.2194969@Yes$Piagi P. and Lasseter R.H. (2006).@Autonomous control of microgrids.@IEEE Power Engineering Society General Meeting, Montreal, Que., 8. doi: 10.1109/PES.2006.170899@Yes$Rahman M.A. and Islam M.R. (2016).@Different control schemes of entire microgrid: A brief overview.@2016 3rd International Conference, Electrical Engineering and Information Communication Technology (ICEEICT), Dhaka, Bangladesh, 1-6. doi: 10.1109/ CEEICT.2016.7873059@Yes
<#LINE#>Time varying delay systems: a survey<#LINE#>Garima @Sharma <#LINE#>24-28<#LINE#>6.ISCA-RJEngS-2017-102.pdf<#LINE#>Department of ETC, Bhilai Institute of Technology, Durg, CG, India<#LINE#>8/4/2017<#LINE#>8/9/2017<#LINE#>The development of the hardware systems has incurred various types of delays such as processing and transmission delays. Such delay may be due to the effect of tolerances of electronic components which were used while developing the system. Such time delay parameters must be implemented in the transfer function of the system so as to identify the correct cause of dynamic behavior of the system which in turn affects the stability of the system. For the development of the accurate system it is required to consider the condition for the global robust asymptotic stability. Criteria for verifying robust stability are formulated as feasibility problems over a set of frequency dependent linear matrix inequalities. The criteria can be equivalently formulated as Semi-Definite Programs (SDP) using Kalman-Yakubovich-Popov lemma. Therefore, checking robust stability can be performed in a computationally efficient fashion. The Lyapunov-Krasovskii approach is definitely the most popular method to address this issue and many results have proposed new functionals and enhanced techniques for deriving less conservative stability conditions. The paper surveys the techniques used for developing the stable system from the various literatures published recently and draws the result that which method is best to develop a reliable and stable systems.<#LINE#>Kolmanovskii V.B. and Myshkis A. (1999).@Introduction to the Theory and Applications of Functional Differential Equations.@Kluwer Academic Publishers.@Yes$Bushnell L.G. (2001).@Networks and control.@IEEE Control Systems Magazine, 21(1), 22-23.@No$He Y., Wang Q.G., Xie L. and Lin C. (2007).@Further improvement of free-weighting matrices technique for systems with time-varying delay.@IEEE Trans. on Automat. Control, 52(2), 293-299.@Yes$Yue D., Han Q.-L. and Lam J. (2008).@Robust H1 Control and Filtering of Networked Control Systems.@Springer London, 121-151.@Yes$Fridman E. and Shaked U. (2006).@Input-output approach to stability and l2-gain analysis of systems with time-varying delays.@Systems & Control Letters, 55, 1041-1053.@No$Briat C. (2008).@Robust Control and Observation of LPV Time-Delay Systems.@PhD thesis, INP-Grenoble.@Yes$Shao H. and Han Q.L. (2012).@Less conservative delay dependent stability criteria for linear systems with interval time-varying delays.@International Journal of Systems Science, 43(5), 894-902.@Yes$Sun J., Liu G.P., Chen J. and Rees D. (2010).@Improved delay-range-dependent stability criteria for linear systems with time-varying delays.@Automatica, 46(2), 466-470.@Yes$Sun Yeong-jeu (2007).@Stability criterion for a class of descriptor systems with discrete and distributed time delays.@Asian Journal Of Control, 33, 986-993.@Yes$Ariba Y. and Gouaisbaut F. (2009).@An augmented model for robust stability analysis of time-varying delay systems.@Int. J. Control, 82, 1616-1626.@Yes$Du Z., Zhang Q. and Liu L. (2011).@New delay dependent robust stability of discrete singular systems with time-varying delay.@Asian Journal of Control, 13, 136-147.@Yes$Kao C.Y. and Rantzer A. (2005).@Robust stability analysis of linear systems with time-varying delays.@In 16th IFAC World Congress, Prague, Czech Republic.@Yes$Ariba Y., Gouaisbaut F. and Peaucelle D. (2008).@Stability analysis of time-varying delay systems in quadratic separation framework.@In TheInternational conference on mathematical problems in engineering, aerospace and sciences(ICNPAA’08).@Yes$Kao C.-Y. and Rantzer A. (2007).@Stability analysisof systems with uncertain time-varying delays.@Automatica, 43(6), 959-970.@Yes$Kim J.H. (2001).@Delay and its time-derivative dependent robust stability of time-delayed linear systems with uncertainty.@IEEE Trans. On Automat. Control, 46(5), 789-792.@Yes$Shao H. (2009).@New delay-dependent stability criteria for systems with interval delay.@Automatica, 45(3), 744-749.@Yes$Ariba Y. and Gouaisbaut F. (2009).@Input-output framework for robust stability of time-varying delay systems.@In the 48th IEEE Conferenceon Decision and Control, Shanghai, China.@Yes$Peaucelle D., Arzelier D., Henrion D. and Gouaisbaut F. (2007).@Quadratic separation for feedback connection of an uncertain matrix and an implicitlinear transformation.@Automatica, 43(5),795-804.@Yes$Iwasaki T. and Hara S. (1998).@Well-posedness offeedback systems: insights into exact robustnessanalysis and approximate computations.@IEEE Trans. on Automat. Control, 43(5), 619-630.@Yes$Gouaisbaut F. and Peaucelle D. (2007).@Robust stability of time-delay systems with interval delays.@In 46th IEEE Conference on Decision and Control, New Orleans, USA.@Yes$Fridman E. and Shaked U. (2002).@An improved stabilization method for linear time-delay systems.@IEEE Trans. on Automat. Control, 47(11), 1931-1937.@Yes$Ariba Y., Gouaisbaut F. and Johansson K.H. (2010).@Stability interval for time-varying delay systems.@In the 49th IEEE Conference on Decision and Control (CDC’10), Atlanta, USA, 1017-1022.@Yes$Sipahi R., Niculescu S., Abdallah C.T., Michiels W. and Keqin Gu. (2011).@Stability and stabilization of systems with time delay.@Control Systems Magazine, IEEE, 31(1), 38-65.@Yes$Gu K., Kharitonov V.L. and Chen J. (2003).@Stability of Time-Delay Systems.@Birkh¨auser Boston, Control engineering.@Yes$Seuret A. (2009).@Lyapunov-Krasovskii functional parameterized with polynomials.@In the 6th IFAC Symposium on Robust Control Design, Haifa, Israel, 214-219.@Yes$Sun J., Liu G.P., Chen J. and Rees D. (2010).@Improved delay-range-dependent stability criteria for linearsystems with time-varying delays.@Automatica, 46(2), 466-470.@Yes$Safonov M.G. (1980).@Stability and Robustness of Multivariable Feedback Systems.@Signal Processing, Optimization, and Control. MIT Press.@Yes$Wu M., He Y., She J.H. and Liu G.P. (2004).@Delay dependent criteria for robust stability of time varying delay systems.@Automatica, 40, 1435-1439.@Yes$Zhang J., Knopse C.R. and Tsiotras P. (2001).@Stability of time-delay systems: Equivalence between Lyapunov and scaled small-gain conditions.@IEEE Trans. on Automat. Control, 46(3), 482-486.@Yes$Bliman P.-A. (2002).@Lyapunov equation for the stability of linear delay systems of retarded and neutral type.@IEEE Trans. on Automat. Control, 47, 327-335.@Yes$Ebihara Y., Peaucelle D., Arzelier D. and Hagiwara T. (2005).@Robust performance analysis oflinear time-invariant uncertain systems by taking higher-order time-derivatives of the states.@In 44thIEEE Conference on Decision and Control and the European Control Conference, Seville, Spain.@Yes$He Y., Wang Q.G., Lin C. and Wu M. (2007).@Delay range-dependent stability for systems with time varying delay.@Automatica, 43, 371-376. 30. S. Xu and J. Lam. A survey of linear matrix inequality techniques in stability analysis of delay systems. International Journal of Systems Science, 39(12):1095–1113, December 2008.@Yes