DocumentCode
2098505
Title
Notice of Retraction
Optimizing Configuration Method of Rural Wind/Water/PV Hybrid Generating System
Author
Zhang Fan ; Yang Minghao
Author_Institution
Dept. of Electr. Power Eng., China Agric. Univ., Beijing, China
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.
Focus on the randomicity of wind speed and river flow rate, meanwhile let the base data easily get especially in the rural area of China, a general random chance constrained optimization model is build which takes hour as time interval, average value of a month as a typical day and simulates every hour´s power flow, then generates automatically several plans that will meet users´ demands under the given confidence level, five indexes including investment, annual cost, LLP, LPSP and URR are given with every plan to evaluate it more widely.The method is reasonable and efficient proved by the application.
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.
Focus on the randomicity of wind speed and river flow rate, meanwhile let the base data easily get especially in the rural area of China, a general random chance constrained optimization model is build which takes hour as time interval, average value of a month as a typical day and simulates every hour´s power flow, then generates automatically several plans that will meet users´ demands under the given confidence level, five indexes including investment, annual cost, LLP, LPSP and URR are given with every plan to evaluate it more widely.The method is reasonable and efficient proved by the application.
Keywords
hybrid power systems; hydroelectric power stations; optimisation; photovoltaic power systems; wind power plants; China; PV generating system; hybrid generating system; optimizing configuration method; random chance constrained optimization model; river flow rate; rural area; water generating system; wind generating system; wind speed; Constraint optimization; Cost function; Hybrid power systems; Investments; Load flow; Optimization methods; Power generation; Power system modeling; Rivers; Wind speed;
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.2010.5448627
Filename
5448627
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