DocumentCode :
734968
Title :
Diversity Enhanced Particle Swarm Optimization based Optimal Reactive Power Dispatch
Author :
Mini, V. ; Sunil Kumar, T.K.
Author_Institution :
Dept. of Electr. Eng., Nat. Inst. of Technol., Calicut, India
fYear :
2015
fDate :
24-26 June 2015
Firstpage :
170
Lastpage :
175
Abstract :
Reactive Power Dispatch (RPD) problem is a complex nonlinear problem involving integer, discrete and continuous types of control variables. This paper proposes a novel algorithm for solving the RPD problem using Diversity Enhanced Particle Swarm Optimization (DEPSO) technique. The proposed method offers an effective technique for solving Mixed Integer Discrete Continuous (MIDC) problems; hence suitable for the RPD problem. The effectiveness of the proposed method is reflected on the rounding off of control variables to the nearest integer or nearest available discrete values. With the implementation of the solution obtained in real time applications, the system becomes less prone to voltage instability. In this paper, DEPSO is applied to standard IEEE 30-bus test system. The results obtained are compared with those of basic PSO method.
Keywords :
IEEE standards; integer programming; load dispatching; particle swarm optimisation; reactive power control; DEPSO technique; IEEE 30-bus test system; MIDC problem; RPD problem; diversity enhanced particle swarm optimization based optimal reactive power dispatch; mixed integer discrete continuous problem; Niobium; Planning; Diversity Enhanced PSO; Diversity factor; Mixed Integer Discrete Continuous problem; Reactive Power Dispatch;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advancements in Power and Energy (TAP Energy), 2015 International Conference on
Conference_Location :
Kollam
Type :
conf
DOI :
10.1109/TAPENERGY.2015.7229612
Filename :
7229612
Link To Document :
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