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The 9th International Energy Conference
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:: Volume 14, Issue 3 (10-2011) ::
IJE 2011, 14(3): 37-56 Back to browse issues page
Reactive Power Control in Distribution Systems with Varying Load in Presence of Distributed Generations with Using Improved Genetic algorithm
Alireza Salehinia * , Mahmoudreza Haghifam , Majid Shahabi
, alireza.saleinia@gmail.com
Abstract:   (19118 Views)
A wide penetration of DG in distribution system, operation and designed of these networks has changed. The reactive power management and optimal capacitor placement are the most important characteristics in distribution networks on which the impact of the DGs should be studied. Type of distributed generation (DG) technology, modeling and their diverse capacity can affect the optimal capacitor placement in the distribution systems. In this research fixed and switchable capacitors allocation in distribution networks in the presence of scattered generation units is presented. As a cost function in optimization procedure, cost of energy loss, installation and purchase costs of capacitors and cost of peak power loss are considered. Genetic Algorithm with new coding and operators are used for optimization. One of the significant characteristics of the proposed GA–based method is providing the switching table for allocated capacitors in various load levels.
Keywords: DG, Capacitor Allocation, Surface chromosome, Genetic Algorithm, Reactive Power
Full-Text [PDF 495 kb]   (10751 Downloads)    
Type of Study: Research | Subject: Energy Planning Models
Received: 2012/05/26 | Published: 2011/10/15
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Salehinia A, Haghifam M, Shahabi M. Reactive Power Control in Distribution Systems with Varying Load in Presence of Distributed Generations with Using Improved Genetic algorithm. IJE 2011; 14 (3) :37-56
URL: http://necjournals.ir/article-1-264-en.html


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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 14, Issue 3 (10-2011) Back to browse issues page
نشریه انرژی ایران Iranian Journal of Energy
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