DocumentCode
2102060
Title
Notice of Retraction
Optimal Placement and Sizing of DG and Capacitor for the Loss Reduction via Methods of Generalized Pattern Search and Genetic Algorithm
Author
Haghdar, K. ; Shayanfar, H.A.
Author_Institution
Dept. of Electr. Eng., Iran Univ. of Sci. & Technol., Tehran, Iran
fYear
2010
fDate
28-31 March 2010
Firstpage
1
Lastpage
4
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Optimal placement and sizing of Distributed Generation (DG) and capacitor for the loss reduction in distribution networks is of utmost importance. Therefore, in this paper by means of using new method of generalized pattern search and genetic algorithm are elaborated and compared with another. Another fact is the direct link between PSAT with the two previous methods. For the generation of this relationship with PSAT software, by writing an innovative program we were able to give PSAT variable inputs, genetic algorithm and new method of generalized pattern search in any population generation of new amount, processes it with PSAT and this procedure is continuous objective function. The results of this simulation is put on a sample network of 16-bus. These results show the higher effectiveness and faster speed of generalized pattern search in comparison with the genetic algorithm. Also, DG improves loss reduction and voltage profile much more better than the capacitor and is more effective.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Optimal placement and sizing of Distributed Generation (DG) and capacitor for the loss reduction in distribution networks is of utmost importance. Therefore, in this paper by means of using new method of generalized pattern search and genetic algorithm are elaborated and compared with another. Another fact is the direct link between PSAT with the two previous methods. For the generation of this relationship with PSAT software, by writing an innovative program we were able to give PSAT variable inputs, genetic algorithm and new method of generalized pattern search in any population generation of new amount, processes it with PSAT and this procedure is continuous objective function. The results of this simulation is put on a sample network of 16-bus. These results show the higher effectiveness and faster speed of generalized pattern search in comparison with the genetic algorithm. Also, DG improves loss reduction and voltage profile much more better than the capacitor and is more effective.
Keywords
distributed power generation; distribution networks; genetic algorithms; power capacitors; search problems; DG optimal placement; PSAT software; capacitor; continuous objective function; distributed generation sizing; distribution networks; generalized pattern search method; genetic algorithm; loss reduction; voltage profile; Automation; Capacitors; Distributed control; Genetic algorithms; Global Positioning System; Optimization methods; Power systems; Reactive power; Voltage; Writing;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
Conference_Location
Chengdu
Print_ISBN
978-1-4244-4812-8
Type
conf
DOI
10.1109/APPEEC.2010.5448778
Filename
5448778
Link To Document