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Using Fast Fourier Extraction Method Power Quality... THD of compensated load voltage (a), three-voltage sag (b), Single-phase voltage sag (c), unbalanced voltage sag (d), three-phase Voltage swell (e) unbalanced voltage swell REFERENCES [1] Power Quality Problems and New Solutions by A. de Almeida, L. Moreira. J. Delgado [2] Math H.J. Bollen, Understanding power quality problems: voltage sags and interruptions, IEEE Press, New York, 2000 [3] Performance of DVR under different voltage sag and swell conditions by T. Devaraju, V. C. Reddy and M. Vijaya Kumar [4] Voltage Quality Improvement Using DVR by Chellali BENACHAIBA, Brahim FERDI [5] Adaline-Based Control of Capacitor Supported DVR for Distribution System Bhim Singh*, P. Jayaprakash†, and D. P. Kothari [6] Control of three level inverter based DVR by 1S.LEELA, S.DASH [7] Rating and Design Issues of DVR Injection Transformer by Sasitharan S., Mahesh K. Mishra, Member, IEEE, B. Kalyan Kumar, and JayashankarV.,member, IEEE [8] Particle Swarm Optimization based Dynamic Voltage Restorer [9] Power Quality Enhancement Using Custom Power Devices by A. Ghosh and G. Ledwich. 2002. Kluwer Academic Publishers. [10] FACTS controllers in power transmission and distribution by K. R. Padiyar AUTHOR PROFILE Subhro Paul receives his B.Tech in Electrical Engineering from Hooghly Engineering and Technology Collegeunder West Bengal University of Technology (WBUT) and currently pursuing M.Tech (Final Year) in Power Electronics and Drives at Jalpaiguri Govt. Engineering College. His research interests include Power electronics, Power System SatyajitSamaddarB.Tech(Electrical) from Seacom Engineering College Howrah (West Bengal). Pursuing M.Tech (Electrical) Specialization: Power Electronics & Drives from Jalpaiguri Govt. Engineering College. Dr.Pradip Kr. Sahareceived his B.E degree in Electrical Engineering from BE College, Shibpur and M.Tech degree in Machine Drives and Power Electronics from IIT Kharagpur and Ph.D. from NBU. He is currently a professor and Head in Electrical Engineering Dept. at Jalpaiguri Govt. Engineering College. His research interests include Power Electronics, Machine Drives, and CHAOS in Power Electronics Dr.Gautam Kumar Panda, Professor, Department of Electrical Engineering, Jalpaiguri Government Engineering College, Jalpaiguri,WB-735102, BE (Electrical ) from J.G.E. College, Jalpaiguri, M.E.E( Electrical) Specialization: Electrical Machines & Drives from Jadavpur University. PhD from University of North Bengal. FIE, MISTE, Certified Energy Auditor . www.<strong>ijcer</strong>online.com ||May ||2013|| Page 59
International Journal of Computational Engineering Research||Vol, 03||Issue, 5|| Using Genetic Algorithm Minimizing Length of Air-Gap and Losses along with Maximizing Efficiency for Optimization of Three Phase Induction Motor Satyajit Samaddar 1 , Surojit Sarkar 2 , Subhro Paul 3 , Sujay Sarkar 4 , Gautam Kumar Panda 5 , Pradip Kumar Saha 6 . 1,2,3,4 PG Students, Dept. of Electrical Engineering, Jalpaiguri Govt. Engineering College, West Bengal, India. 5 HOD & Professor , Dept. of Electrical Engineering, Jalpaiguri Govt. Engineering College, West Bengal, India. 6 Professor , Dept. of Electrical Engineering, Jalpaiguri Govt. Engineering College, West Bengal, India. ABSTRACT: Optimization of three-phase induction motor using Genetic Algorithm (GA) is displayed in the paper. Objective functions such as Air-Gap Length (Lg), SCL, RCL, SIL and efficiency are considered here along with their individual plotting after optimization have been presented. The intense nonlinearity of the motor stated here have been observed in mathematical form and hence forth solved using MATLAB. To optimize performance of the Induction Motor the Genetic Algorithm method has been very useful for this purpose. MATLAB is very powerful software which has been used here effectively. Keywords: Air-Gap Length, Efficiency, GA, Induction Motor, RCL, SCL, SIL. I. INTRODUCTION Induction motors have a wide range of applications in domestic and industrial purposes. Squirrel Cage Induction motor is the most widely used in industrial sector due to its low cost, simplicity and robustness. Most of the electrical energy is consumed by this motor, so a major concern becomes the minimization of the electrical energy used. As per our literature survey several methods on multi-objective approaches for optimization have been uncounted. In this paper a 3-phase, 4 pole, 2238W Induction Motor has been optimized by GA and the results have been compared with the standard design results The organization of the paper is as follows. In section II, the problem has been defined along with its design approach. The objective functions have been described in section III. In section IV a brief description of genetic algorithm has been given with its flow chart in section V. the section VI concludes with the results and discussion. The performance of the machine is affected due to its non-linearity of the variables. The standard Nonlinear programming (NLP) process becomes very inefficient and also expensive. One of the most evolved NLP technique is the Genetic Algorithm(GA) which has become important for design optimization of electrical machines. GA helps in finding the Global minimum in place of the local minimum, which may have different starting points and may not be near to the actual values. The aim of this paper is to ensure the optimum design of a three-phase Induction Motor considering the Air-Gap Length (Lg), and the stator winding temperature. The reduction in air-gap length and losses improves the efficiency of the machine as well as its power factor. The machine taken into consideration here is a 3-phase, 4pole, 2238 watt Squirrel Cage Induction Motor.[1] . II. PROBLEM DEFINITION AND DESIGN APPROACHES. Figure 1.presents the basic equivalent circuit model of the motor. This model is well known and easily understood by the engineers and has both less computational effort and good prediction accuracy. This figure shows the per phase representation of the balanced poly-phase induction machine in the frequency domain, having six elements or parameters. The parameters are as follows, Stator Resistance ( R 1 ) , Stator leakage reactance ) X , magnetizing ( 1 reactance ) X ,core-loss resistance R ) , rotor leakage reactance ) X and rotor resistance R ) ( m ( 2 performance are based on the works of [2]. ( m ( 2 . The approach and methods used to calculate the motor www.<strong>ijcer</strong>online.com ||May ||2013|| Page 60
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