Volume-1 ~ Issue-6
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Abstract: This work also includes development of a novel voltage control scheme that can compensate for voltage sag, swell, harmonics, and transient conditions in three-phase power systems. Faults occurring in power distribution systems or facilities in plants cause the voltage sag or swell. If a fault occurs, it can damage the power system or user's facility. For sensitive loads, even voltage sags of short duration can cause serious problems in the entire system. Normally, a voltage interruption triggers a protection device, which causes shutdown of the entire system. In order to mitigate power interruptions, this research proposes a scheme called "DYNAMIC VOLTAGE RESTORER (DVR)". The proposed scheme is able to quickly recognize the voltage sag, swell, harmonic and transient condition, and it can correct the voltage by either boosting the input voltage during voltage sag events or reducing the input voltage during voltage swell events. Among existing methods, the scheme based on the inverter system requires an inverter, a transformer, a liner control scheme. The proposed scheme can be applied at any voltage and provides cost and size advantages over existing methods.Simulations and experiments have been carried out to verify the validity of the proposed scheme.
Keywords: FACTS; DVR; Reactive Power; Compensation;
Keywords: FACTS; DVR; Reactive Power; Compensation;
[1] E. Babaei M. FarhadiKangarlu, ―Voltage quality improvement by a dynamic voltage restorer based on a direct three-phase converter with fictitious DC link‖, IET Gener. Transm. Distrib., 2011, Vol. 5, Iss. 8, pp. 814–823
[2] Li, Y.W., Vilathgamuwa, D.M., Blaabjerg, F., Loh, P.C.: ‗A robust control scheme for medium-voltage-level DVR implementation', IEEE Trans. Ind. Electron., 2007, 54, (4), pp. 2249–2261
[3] Wijekoon, H.M., Vilathgamuwa, D.M., Choi, S.S.: ‗Interline dynamic voltage restorer: an economical way to improve interline power quality', IEE Proc., Gener. Transm. Distrib., 2003, 150, (5), pp. 513–520
[4] Li, G.J., Zhang, X.P., Choi, S.S., Lie, T.T., Sun, Y.Z.: ‗Control strategy for dynamic voltage restorers to achieve minimum power injection without introducing sudden phase shift', IET Gener. Transm. Distrib., 2007, 1, (5), pp. 847–853
[5] Wang, B., Venkataramanan, G., Illindala, M.: ‗Operation and control of a dynamic voltage restorer using transformer coupled H-bridge converters', IEEE Trans. Power Electron., 2006, 21, (4), pp. 1053–1061
[6] Jowder, F.A.L.: ‗Design and analysis of dynamic voltage restorer for deep voltage sag and harmonic compensation', IET Gener. Transm. Distrib., 2009, 3, (6), pp. 547–560
[7] A.K. Jindal, A. Ghosh, A. Joshi, Critical load bus voltage control using DVR under system frequency variation, Elsevier J. Electric Power Syst. Res. 78 (2) (2008) 255–263.
[8] Y.W. Li, D.M. Vilathgamuwa, F. Blaabjerg, P.C. Loh, Investigation and improvement of transient response of DVR at medium voltage level, IEEE Trans. Ind. Appl. 43 (5) (2007) 1309–1319.
[9] C. Fitzer, M. Barnes, P. Green, Voltage sag detection technique for a dynamic voltage restorer, IEEE Trans. Ind. Appl. 40 (1) (2004) 203–212.
[10] H.K. Al-Hadidi, A.M. Gole, D.A. Jacobson, A novel configuration for a cascade inverter-based dynamic voltage restorer with reduced energy storage requirements, IEEE Trans. Power Del. 23 (2) (2008) 881–888.
[2] Li, Y.W., Vilathgamuwa, D.M., Blaabjerg, F., Loh, P.C.: ‗A robust control scheme for medium-voltage-level DVR implementation', IEEE Trans. Ind. Electron., 2007, 54, (4), pp. 2249–2261
[3] Wijekoon, H.M., Vilathgamuwa, D.M., Choi, S.S.: ‗Interline dynamic voltage restorer: an economical way to improve interline power quality', IEE Proc., Gener. Transm. Distrib., 2003, 150, (5), pp. 513–520
[4] Li, G.J., Zhang, X.P., Choi, S.S., Lie, T.T., Sun, Y.Z.: ‗Control strategy for dynamic voltage restorers to achieve minimum power injection without introducing sudden phase shift', IET Gener. Transm. Distrib., 2007, 1, (5), pp. 847–853
[5] Wang, B., Venkataramanan, G., Illindala, M.: ‗Operation and control of a dynamic voltage restorer using transformer coupled H-bridge converters', IEEE Trans. Power Electron., 2006, 21, (4), pp. 1053–1061
[6] Jowder, F.A.L.: ‗Design and analysis of dynamic voltage restorer for deep voltage sag and harmonic compensation', IET Gener. Transm. Distrib., 2009, 3, (6), pp. 547–560
[7] A.K. Jindal, A. Ghosh, A. Joshi, Critical load bus voltage control using DVR under system frequency variation, Elsevier J. Electric Power Syst. Res. 78 (2) (2008) 255–263.
[8] Y.W. Li, D.M. Vilathgamuwa, F. Blaabjerg, P.C. Loh, Investigation and improvement of transient response of DVR at medium voltage level, IEEE Trans. Ind. Appl. 43 (5) (2007) 1309–1319.
[9] C. Fitzer, M. Barnes, P. Green, Voltage sag detection technique for a dynamic voltage restorer, IEEE Trans. Ind. Appl. 40 (1) (2004) 203–212.
[10] H.K. Al-Hadidi, A.M. Gole, D.A. Jacobson, A novel configuration for a cascade inverter-based dynamic voltage restorer with reduced energy storage requirements, IEEE Trans. Power Del. 23 (2) (2008) 881–888.
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Abstract: Segmentation subdivides an image into its constituent regions or objects. The level to which the subdivision is carried depends on the problem being solved. Color images can increase the quality of segmentation, but increase the complexity of problem. Genetic algorithms are well suited to optimizing complex problems such as image segmentation. This paper gives state- of –art of Genetic Algorithm based segmentation methods. We discuss the feasibility of using genetic algorithms to segment general color images and discuss the issues involved in designing such algorithms.
Keywords – Color image, Genetic algorithms, Segmentation
Keywords – Color image, Genetic algorithms, Segmentation
1] P. D. Acton, L. S. Pilowsky, H. F. Kung, and P. J. Ell. Automatic segmentation of dynamic neuroreceptor single-photon emission tomog- raphy images using fuzzy clustering. European Journal of Nuclear Medicine, 26(6):581–590, June 1999.
[2] B. Ahrens. Genetic algorithm optimization of superresolution parameters. In Proceedings of the 2005 conference on Genetic and evolution- ary computation, GECCO, pages 2083–2088, June 2005.
[3] A. Albiol, L. Torres, and E.J. Delp. An unsu- pervised color image segmentation algorithm for facedetection applications. In Proceedings of 2001 International Conference on Image Processing, volume 2, pages 681–684, October2001.
[4] M. Alfonseca. Genetic algorithms. In Proceed- ings of the international conference on APL, pages 1–6, 1991.
[5] P. Andrey. Selectionist relaxation: Genetic algorithms applied to image segmentation. In Image and Vision Computing, volume 17, pages 175–187, 1999.
{6] S.M. Bhandarkar and H. Zhang. Image seg- mentation using evolutionary computation. In IEEE Transactions on Evolutionary Computa- tion, volume 3, pages 1–21, April 1999.
[7] B. Bhanu and S. Lee. Genetic Learning for Adaptive Image Segmentation. Springer, 1994.
[8] B. Bhanu, S. Lee, and J. Ming. Adaptive im- age segmentation using a genetic algorithm. In IEEE Transactions on Systems, Man and Cybernetics, volume 25, pages 1543–1567, De- cember 1995.
[9] B. Bhanu and J. Peng. Adaptive integrated image segmentation and object recognition. In IEEE Transactions on Systems, Man and Cy- bernetics, Part C, volume 30, pages 427–441, November 2000.
[10] H. Chen, W. Chien, and S. Wang. Contrast- based color image segmentation. IEEE Signal Processing Letters, 11(7):641–644, July 2004.
[2] B. Ahrens. Genetic algorithm optimization of superresolution parameters. In Proceedings of the 2005 conference on Genetic and evolution- ary computation, GECCO, pages 2083–2088, June 2005.
[3] A. Albiol, L. Torres, and E.J. Delp. An unsu- pervised color image segmentation algorithm for facedetection applications. In Proceedings of 2001 International Conference on Image Processing, volume 2, pages 681–684, October2001.
[4] M. Alfonseca. Genetic algorithms. In Proceed- ings of the international conference on APL, pages 1–6, 1991.
[5] P. Andrey. Selectionist relaxation: Genetic algorithms applied to image segmentation. In Image and Vision Computing, volume 17, pages 175–187, 1999.
{6] S.M. Bhandarkar and H. Zhang. Image seg- mentation using evolutionary computation. In IEEE Transactions on Evolutionary Computa- tion, volume 3, pages 1–21, April 1999.
[7] B. Bhanu and S. Lee. Genetic Learning for Adaptive Image Segmentation. Springer, 1994.
[8] B. Bhanu, S. Lee, and J. Ming. Adaptive im- age segmentation using a genetic algorithm. In IEEE Transactions on Systems, Man and Cybernetics, volume 25, pages 1543–1567, De- cember 1995.
[9] B. Bhanu and J. Peng. Adaptive integrated image segmentation and object recognition. In IEEE Transactions on Systems, Man and Cy- bernetics, Part C, volume 30, pages 427–441, November 2000.
[10] H. Chen, W. Chien, and S. Wang. Contrast- based color image segmentation. IEEE Signal Processing Letters, 11(7):641–644, July 2004.
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| Paper Type | : | Research Paper |
| Title | : | Microcontroller Based Substation Monitoring and Control System with Gsm Modem |
| Country | : | India |
| Authors | : | Amit Sachan |
| : | 10.9790/1676-0161321 ![]() |
|
Abstract : The purpose of this project is to acquire the remote electrical parameters like Voltage, Current and Frequency and send these real time values over GSM network using GSM Modem/phone along with temperature at power station. This project is also designed to protect the electrical circuitry by operating an Electromagnetic Relay. This Relay gets activated whenever the electrical parameters exceed the predefined values. The Relay can be used to operate a Circuit Breaker to switch off the main electrical supply.
User can send commands in the form of SMS messages to read the remote electrical parameters. This system also can automatically send the real time electrical parameters periodically (based on time settings) in the form of SMS. This system can be designed to send SMS alerts whenever the Circuit Breaker trips or whenever the Voltage or Current exceeds the predefined limits.
This project makes use of an onboard computer which is commonly termed as microcontroller. This onboard computer can efficiently communicate with the different sensors being used. The controller is provided with some internal memory to hold the code. This memory is used to dump some set of assembly instructions into the controller. And the functioning of the controller is dependent on these assembly instructions. The controller is programmed using Embedded C language.
Keyworld: GSM Modem, Initialization of ADC module of microcontroller, PIC-C compiler for Embedded C programming, PIC kit 2 programmer for dumping code into Micro controller, Express SCH for Circuit design, Proteus for hardware simulation.
User can send commands in the form of SMS messages to read the remote electrical parameters. This system also can automatically send the real time electrical parameters periodically (based on time settings) in the form of SMS. This system can be designed to send SMS alerts whenever the Circuit Breaker trips or whenever the Voltage or Current exceeds the predefined limits.
This project makes use of an onboard computer which is commonly termed as microcontroller. This onboard computer can efficiently communicate with the different sensors being used. The controller is provided with some internal memory to hold the code. This memory is used to dump some set of assembly instructions into the controller. And the functioning of the controller is dependent on these assembly instructions. The controller is programmed using Embedded C language.
Keyworld: GSM Modem, Initialization of ADC module of microcontroller, PIC-C compiler for Embedded C programming, PIC kit 2 programmer for dumping code into Micro controller, Express SCH for Circuit design, Proteus for hardware simulation.
[1]. Jyotishman Pathak, Yuan Li, Vasant Honavar and James D. McCalley, "A Service-Oriented Architecture for Electric Power Transmission System Asset Management", In ICSOC Workshops, pp: 26-37, 2006.
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[8]. Zhi-Hua Zhou, Yuan Jiang, Xu-Ri Yin, and Shi-Fu Chen, "The Application of Visualization and Neural Network Techniques in a Power Transformer Condition Monitoring System", In: T. Hendtlass and M. Ali eds. Lecture Notes in Artificial Intelligence 2358, Berlin: Springer- Verlag, pp: 325-334, 2002.
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[2]. B. A. Carreras, V. E. Lynch, D. E. Newman and I. Dobson, "Blackout Mitigation Assessment in Power Transmission Systems", Hawaii International Conference on System Science, January 2003.
[3]. Xiaomeng Li and Ganesh K. Venayagamoorthy, "A Neural Network Based Wide Area Monitor for a Power System", IEEE Power Engineering Society General Meeting, Vol. 2, pp: 1455-1460, 2005.
[4]. Argonne National Laboratory, "Assessment of the Potential Costs and Energy Impacts of Spill Prevention, Control, and Countermeasure equirements for Electric Utility Substations", Draft Energy Impact Issue Paper, 2006.
[5]. R.R. Negenborn, A.G. Beccuti, T. Demiray, S. Leirens, G. Damm, B. De Schutter and M. Morari, "Supervisory hybrid model predictive control for voltage stability of power networks", Proceedings of the 2007 American Control Conference, New York, New York, pp: 5444-5449, July 2007.
[6]. Daponte, M. Di Penta and G.Mercurio, "TRANSIENTMETER: A Distributed Measurement System for Power Quality Monitoring", IEEE Transactions on Power Delivery, Vol. 19, Issue. 2, pp: 456-463, 2004.
[7]. G. Pudlo, S. Tenbohlen, M. Linders and G. Krost, "Integration of Power Transformer Monitoring and Overload Calculation into the Power System Control Surface", IEEE/PES Transmission and Distribution Conference and Exhibition, Vol. 1, pp: 470-474 Asia Pacific, 2002.
[8]. Zhi-Hua Zhou, Yuan Jiang, Xu-Ri Yin, and Shi-Fu Chen, "The Application of Visualization and Neural Network Techniques in a Power Transformer Condition Monitoring System", In: T. Hendtlass and M. Ali eds. Lecture Notes in Artificial Intelligence 2358, Berlin: Springer- Verlag, pp: 325-334, 2002.
[9]. Overbye and Weber, "Visualization of power system data", in proceedings of 33rd Annual Hawaii International Conference on System Sciences, January 2000.
[10]. Johan Driesen , Geert Deconinck, Jeroen Van Den Keybus, Bruno Bolsens, Karel De Brabandere, Koen Vanthournout, Ronnie Belmans, "Development of a Measurement System for Power Quantities in Electrical Energy Distribution Systems", in proceedings of IEEE Instrumentation and Measurement Technology Conference, Anchorage, AK, USA, May 2002.
