The week's pick
Reseach Article
Application of Genetic Algorithm in the Optimum Placement of Distributed Generator in Distributed Power System
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 30 - Number 6 |
| Year of Publication: 2011 |
| Authors: Vivek Goyal, Akanksha, Sandeep Mahapatra |
10.5120/3649-5099
|
Vivek Goyal, Akanksha, Sandeep Mahapatra . Application of Genetic Algorithm in the Optimum Placement of Distributed Generator in Distributed Power System. International Journal of Computer Applications. 30, 6 ( September 2011), 1-5. DOI=10.5120/3649-5099
Abstract
Genetic Algorithm is one the important stream of science and consider as hottest research area now a day’s, this area has very vast application in real world. Efficient methods and technologies are highly required to this world to reduce the calculations and perform the operation in precise manner. The power system is very abstruse subject so there is a need of optimum solutions with which the system becomes optimized and economical by solving complex problem. There are many benefits to install a DG in system but the problem is there is need to do complex calculation to know the size and the placement of DG. The optimal size and location of DG for a distributed system is the basic purpose of this paper.
References
- M. R. Milligan and M. S. Graham, An enumerated probabilistic simulation technique and case study: Integrating wind power into utility production cost models, in National Renewable Energy Lab. for Wind Energy Program, 1996.
- T. Hoff and D. S. Shugar, “The value of grid-support photovoltaics in reducing distribution system losses,” IEEE Trans. Energy Conversion, vol. 10, pp. 569–576, Sept. 1995.
- R. Caire, N. Retiere, N. Martino, N. Andrieu, and N. Hadjsaid, “Impact assessment of LV distributed generation on MV distribution network,” in IEEE Power Engineering Society Summer Meeting, Paper no. 02SM152, July 2002.
- R. E. Brown and L. A. A. Freeman, “Analyzing the reliability impact on distributed generation,” in IEEE Power Engineering Society Summer Meeting, vol. 2, July 2001, pp. 1013–1018.
- R. E. Brown, J. Pan, X. Feng, and K. Koutlev, “Siting distributed generation to defer T&D expansion,” Transmission and Distribution Conf. and Expo. , vol. 2, pp. 622–627, Oct. 2001.
- Pathomthat Chiradeja, Pathomthat Chiradeja, R. Ramakumar, “An Approach to Quantify the Technical Benefits of Distributed Generation” IEEE Trans. on energy conservation, Vo. 19, No.4, December 2004.
- N. Hadjsaid, J. F. Canard, and F. Dumas, “Dispersed generation impact on distribution networks,” IEEE Comput. Applicat. Power, vol. 12, pp. 22–28, Apr. 1999.
- M. Sedighizadeh, and A. Rezazadeh “Using Genetic Algorithm for Distributed Generation Allocation to Reduce Losses and Improve Voltage Profile” World Academy of Science, Engineering and Technology 37 2008.
- A. A. Abou El-Ela, S.M. Allam, M.M. Shatla “Maximal optimal benefits of distributed generation using genetic algorithms” Electric Power Systems Research 80 (2010) 869–877.
- P. Aruna Jeyanthy& D. Devaraj “Multi objective genetic algorithm for reactive power optimization inclusing voltage stability” International Journal of Engineering Science and Technology Vol. 2 (7), 2010, 2715-2729.
- Sandeep Kaur and Vivek Goyal “Classical approach for Optimal Allocation of Distributed Generation in a Distribution System” International Conference on deregulated energy and environment management at Chitkara University, July 2011.
Index Terms
Keywords