DocumentCode :
619759
Title :
General reactive power optimization of distribution network based on power loss sensitivity analysis
Author :
Zhan Mengmeng ; Shang Qunli ; Ling Long
Author_Institution :
Sch. of Autom., Hangzhou Dianzi Univ., Hangzhou, China
fYear :
2013
fDate :
25-27 May 2013
Firstpage :
566
Lastpage :
570
Abstract :
A reactive power optimization method for distribution network based on power loss sensitivity analysis is proposed. Take the minimized sum of power loss and the investment of reactive power compensation devices as objective function to build the mathematical model for optimization. According to the features of distribution network, i.e., numerous nodes, complicated structures and generous amount of calculation, sensitivity analysis method is used and appropriate improvement is made on it. Both of the network structure and load distribution are considered and through matrix calculation to get the sensitivity indexes .The compensation capacity at the installation buses is decided by the Simple Genetic Algorithm (SGA). The test results on IEEE28-bus system demonstrate the validity with fast calculation, lower energy loss and higher voltages.
Keywords :
distribution networks; genetic algorithms; matrix algebra; reactive power; sensitivity analysis; IEEE28-bus system; SGA; compensation capacity; distribution network; general reactive power optimization; installation buses; investment; load distribution; mathematical model; matrix calculation; network structure; objective function; power loss sensitivity analysis; sensitivity indexes; simple genetic algorithm; Educational institutions; Electronic mail; Linear programming; Optimization; Power system stability; Reactive power; Sensitivity analysis; Distribution Network; Matrix; Reactive Power Optimization; SGA; Sensitivity Analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
Type :
conf
DOI :
10.1109/CCDC.2013.6560988
Filename :
6560988
Link To Document :
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