DocumentCode :
3221040
Title :
Optimal dispatch of reactive power sources by using MVMOs optimization
Author :
Rueda, Jose L. ; Erlich, Istvan
Author_Institution :
Inst. of Electr. Power Syst., Univ. Duisburg-Essen, Duisburg, Germany
fYear :
2013
fDate :
16-19 April 2013
Firstpage :
29
Lastpage :
36
Abstract :
In this paper, the swarm implementation of the Mean-Variance Mapping optimization (MVMOs) is proposed to solve the optimal reactive power dispatch problem. Apart from incorporating swarm intelligence principles, MVMOs possesses enhanced mapping and penalty schemes as compared to the classical MVMO procedure. Based on the IEEE 57- and 118-bus systems, numerical tests and comparisons with other heuristic optimization methods are carried out. Additionally, a scheme for adaptive smart optimal reactive power source coordination, which can be used online, is suggested.
Keywords :
particle swarm optimisation; power generation dispatch; reactive power; IEEE 118-bus systems; IEEE 57-bus systems; MVMO optimization; heuristic optimization; mean-variance mapping optimization; numerical tests; optimal reactive power dispatch problem; reactive power sources; swarm implementation; swarm intelligence principles; Educational institutions; Optimization; Reactive power; Shape; Smart grids; Vectors; Heuristic optimization; mean-variance mapping optimization; reactive power dispatch; smart grid; swarm intelligence;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence Applications In Smart Grid (CIASG), 2013 IEEE Symposium on
Conference_Location :
Singapore
ISSN :
2326-7682
Type :
conf
DOI :
10.1109/CIASG.2013.6611495
Filename :
6611495
Link To Document :
بازگشت