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2013 (Vol. 5, Issue: 14)
Article Information:

Application of Intelligent Algorithms for Optimal Distributed Generation Allocation to Voltage Profile Improvement and Line Losses Reduction

Arman Tarrah, Rasoul Asghari and Masoud Aghazadeh Mehrabani
Corresponding Author:  Arman Tarrah 

Key words:  Allocation, distributed generation, loss reduction, particle swarm optimization, voltage profile improvement, ,
Vol. 5 , (14): 3767-3773
Submitted Accepted Published
September 15, 2012 November 01, 2012 April 20, 2013
Abstract:

Distributed Generation (DG) had created a challenge an opportunity for developing various novel technologies in power generation. The rate and of DG implementation have to be determined. The increasing need of electricity and establishing powerhouses, as well as spending a great amount of time to built powerhouses, indicate the necessity of distributed generation in small size and close to the consumer location. In this study selecting IEEE-14 bus systems, attempt to investigate the effect of distributed generation in line losses and voltage profile by using two optimization techniques. The introduction of PSO and CSA base DG in a distribution System offer several benefits: Significant voltage profile improvement, Considerable line loss reduction, improves system reliability and etc. The optimum value of DG, also obtained increasing the maximum load ability of the system. Finally the results are compared to a system with and without installation DGs.
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  Cite this Reference:
Arman Tarrah, Rasoul Asghari and Masoud Aghazadeh Mehrabani, 2013. Application of Intelligent Algorithms for Optimal Distributed Generation Allocation to Voltage Profile Improvement and Line Losses Reduction.  Research Journal of Applied Sciences, Engineering and Technology, 5(14): 3767-3773.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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