CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Situational Analysis of Distributed System and its Effectiveness in Area of Power System

by G.raghavendra, Manjunath Ramachandra
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 103 - Number 10
Year of Publication: 2014
Authors: G.raghavendra, Manjunath Ramachandra
10.5120/18110-9220

G.raghavendra, Manjunath Ramachandra . Situational Analysis of Distributed System and its Effectiveness in Area of Power System. International Journal of Computer Applications. 103, 10 ( October 2014), 23-30. DOI=10.5120/18110-9220

@article{ 10.5120/18110-9220,
author = { G.raghavendra, Manjunath Ramachandra },
title = { Situational Analysis of Distributed System and its Effectiveness in Area of Power System },
journal = { International Journal of Computer Applications },
issue_date = { October 2014 },
volume = { 103 },
number = { 10 },
month = { October },
year = { 2014 },
issn = { 0975-8887 },
pages = { 23-30 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume103/number10/18110-9220/ },
doi = { 10.5120/18110-9220 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:34:11.668032+05:30
%A G.raghavendra
%A Manjunath Ramachandra
%T Situational Analysis of Distributed System and its Effectiveness in Area of Power System
%J International Journal of Computer Applications
%@ 0975-8887
%V 103
%N 10
%P 23-30
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the rising need of the power supply in the various part of the world along with growing usage of power driven devices, the area of power sector is on constant look out of an effective solution. In this arena, distributed power system has evolved as a great boon to the cater up the needs of the power supply and thereby avoid the occurrences of the power outage. Compared to the conventional power generation system, distributed generation system reduces the cost as well as complexities that occur in power generation and transmission network. This paper performs the situational analysis of the existing system of the distributed power system and reviews some of the frequently adopted techniques along with the brief discussion of existing system to extract the research gap in this area. The outcome of the study will assist the researcher to have better visualization of the contribution of the past studies.

References
  1. Bollen,M. H. 2011. Integration of Distributed Generation in the Power System. John Wiley & Sons. Technology & Engineering, pp. 544
  2. Massey,G. W. 2011. Essentials of Distributed Generation Systems, Jones & Bartlett Publishers,Technology & Engineering,pp. 204
  3. Mammano,B. 2009. Distributed power system. Applied Power Electronics Conference and Exposition APEC
  4. Sioshansi,E. P. 2014. Distributed Generation and its Implications for the Utility Industry. Academic Press, 26-Jun-2014 - Technology & Engineering,pp. 552
  5. Saxena,A. , Chandra, S. 2013. Rural Electrification in India using Distributed Generation: Current Scenario. Government Initiatives, Regulatory & Technical Issues, American International Journal of Research in Science, Technology, Engineering & Mathematics
  6. http://powermin. nic. in/acts_notification/electricity_act2003/preliminary. htm
  7. . Nagalingam, M. , Kandasamy, C. P. ,. Manokaran,T. 2014. Analysis of PEM Fuel Cell Power Supply for Grid Interface Using ANN Controller. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol. 3, Issue. 4
  8. Wanik, M. Z. C. , Erlich, I. , Mohamed, A. , Shareef, H. 2010. "Predictive Var management of distributed generators. In IPEC, 2010 Conference Proceedings, pp. 619-624
  9. Kashyap,D. S. , Kishor, M. 2012. Fuel Cell Distributed Generation Systems Using Fuzzy Logic Control. International Journal of Engineering Research and Applications (IJERA), Vol. 2, Issue. 3, pp. 776-782
  10. Shanthi,T. , Vanmukhil, A. S. 2014. Fuzzy Logic based MPPT Control of Hybrid Power Generation System. International Journal of Computer Applications, Vol. 86, No. 1
  11. Hansen, T. , Roche, R. , Suryanarayanan, S. , Siegel, H. J. , Zimmerle, D. , Young, P. M. , Maciejewski, A. A. 2012. A proposed framework for heuristic approaches to resource allocation in the emerging smart grid. In Power System Technology (POWERCON), IEEE International Conference, pp. 1-6
  12. Vural, R. A. , Yildirim, T. 2012. Analog circuit sizing via swarm intelligence. International Journal of Electronics and Communications, Vol. 66, pp. 732-740
  13. Mohanty,S. P. , Pradhan, D. K. 2009. Tabu search based gate leakage optimization using DKCMOS library in architecture synthesis. JDT 3
  14. Baijal, A. , Chauhan, V. S. , Jayabarathi, T. 2011. Application of PSO, Artificial Bee Colony and Bacterial Foraging Optimization algorithms to economic load dispatch: An analysis. International Journal of Computer Science Issues, Vol. 8, Issue. 4, No. 1
  15. Gupta,E. 2012. Global warming and electricity demand in the rapidly growing city of Delhi: A semi-parametric variable coefficient approach. Energy Economics, Vol. 34, No. 5, pp. 1407-1421
  16. Lopes, J. A. P. , Hatziargyriou, N. , Mutale, J. , Djapic, P. , and Jenkins, N. 2007. Integrating distributed generation into electric power systems: A review of drivers, challenges and opportunities. Electric Power Systems Research, Vol. 77, No. 9,pp. 1189-1203
  17. Bloemink, J. M. , and Green, T. C. 2013. Benefits of Distribution-Level Power Electronics for Supporting Distributed Generation Growth. IEEE Transactions on Power Delivery, Vol. 28, No. 2
  18. Ng-Molina, F. Y. , Teresa M. Martín-Guerrero, Carlos Camacho-Peñalosa. 2013. Power recycling concept applied to distributed Amplification. IEEE-Microwaves, Antennas & Propagation, Vol. 7, Iss. 15, pp. 1207–1214
  19. Maharjan,S. , Zhang, Y. , Gjessing, S. , and Tsang, D. 2014. User-Centric Demand Response Management in the Smart Grid with Multiple Providers. IEEE Transactions on Emerging Topics in Computing
  20. Wei, Y. , Ji, C. , Galvan, F. , Couvillon, S. , and Orellana, G. 2013. Dynamic modeling and resilience for power distribution. In Smart Grid Communications (SmartGridComm), IEEE International Conference ,pp. 85-90
  21. Berges, M. , Goldman, E. , Matthews, H. S. , and Soibelman, L. 2008. Training load monitoring algorithms on highly sub-metered home electricity consumption data. IEEE-Tsinghua Science & Technology, Vol. 13, pp. 406-411
  22. Xia, X. , Ye, X. , and Zhang, J. 2012. Optimal metering plan of measurement and verification for energy efficiency lighting projects. In Energy Effciency Convention (SAEEC), pp. 1-8
  23. Besnard, F. , Fischer, K. , Tjernberg, L. B. 2013. A model for the optimization of the maintenance support organization for offshore wind farms. Sustainable Energy, IEEE Transactions , Vol. 4, No. 2, pp. 443-450
  24. Xu, Z. , Jia, Q-S. , and Guan, X. 2014. Supply Demand Coordination for Building Energy Saving: Explore the Soft Comfort. IEEE Transactions on Automation Science and Engineering, pp. 1-10
  25. Farhat, I. A. , E-Hawary, M. E. 2009. Optimization methods applied for solving the short-term hydrothermal coordination problem. Electric Power Systems Research , Vol. 79,No. 9, pp. 1308-1320
  26. Bernardon, D. P. , Garcia, V. J. , Ferreira, A. S. Q. , and Canha, L. N. 2009. Electric distribution network reconfiguration based on a fuzzy multi-criteria decision making algorithm. Electric Power Systems Research, Vol. 79, No. 10, pp. 1400-1407
  27. Voll, P. , Lampe, M. , Wrobel, G. , and Bardow, A. 2012. Superstructure-free synthesis and optimization of distributed industrial energy supply systems. Energy, Vol. 45, No. 1,pp. 424-435
  28. Li, P. , Guo, S. , and Cheng, Z. 2013. Joint Optimization of Electricity and Communication Cost for Meter Data Collection in Smart Grid. Emerging Topics in Computing
  29. Sadeghkhani, I. , Ketabi, A. , and Feuillet, R. 2012. Radial Basis Function Neural Network Application to Power System Restoration Studies. Hindawi Publishing Corporation Computational Intelligence and Neuroscience
  30. Abd-Elkader, A. G. , Allam, D. F. , Tageldin, E. 2014. Islanding detection method for DFIG wind turbines using artificial neural Networks. Elsevier- Electrical Power and Energy Systems, vol. 62, pp. 335–343
  31. Priya, R. , Prakash, S. 2014. Optimal Location and Sizing of Generator in Distributed Generation System. International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering, Vol. 2, Issue. 3
  32. Harrison, G. P. , Piccolo, A. , Siano, P. , Wallace, A. R. 2007. Distributed Generation Capacity Evaluation Using Combined Genetic Algorithm and OPF. International Journal of Emerging Electric Power Systems, Vol. 8, Iss. 2
  33. Behbahani, H. H. , Zanganeh, A. , Abdi, B. 2014. Transient stability assessment of power systems using Support Vector Machine (SVM) with distributed generation units. International Journal Of Science And Research, Vol. 2, pp. 20-27
Index Terms

Computer Science
Information Sciences

Keywords

Distributed Power System Distributed Generation Power Transmission

Powered by PhDFocusTM