DocumentCode
622245
Title
Loss minimization of distribution system with photovoltaic injection using Swarm evolutionary programming
Author
Ahmad, N.A. ; Musirin, I. ; Sulaiman, Shahril Irwan
Author_Institution
Centre for Electr. Power Eng., Univ. Teknol. Mara, Shah Alam, Malaysia
fYear
2013
fDate
3-4 June 2013
Firstpage
752
Lastpage
757
Abstract
This paper presents the study of an optimization technique that is developed to locate the optimal location and the size (power rating) of Distributed Generation (DG) for its installation to a distribution system. The type of the chosen DG is photovoltaic (PV). In this study, the author proposes the new technique called Swarm Evolutionary (SEP) technique where the concept of applying and substituting the concept of Particle Swarm Optimization (PSO) in some part of Evolutionary Programming (EP) is applied on IEEE 69 radial bus distribution system. The result is then compared with the result from classic EP and Artificial Immune System (AIS). The objective is to minimize overall system power loss and improving voltage profile. The proposed optimization technique is developed under MATLAB programming. Test results indicate that Swarm EP technique can reduce the total system loss and improve the voltage profile better than EP and AIS for the distribution system under various loading conditions.
Keywords
artificial immune systems; distributed power generation; evolutionary computation; particle swarm optimisation; photovoltaic power systems; AIS; IEEE 69 radial bus distribution system; Matlab programming; SEP; artificial immune system; distributed generation; loading condition; loss minimization; particle swarm optimization; photovoltaic injection; swarm evolutionary programming; voltage profile; Convergence; Equations; Optimization; Power engineering; Programming; Sociology; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering and Optimization Conference (PEOCO), 2013 IEEE 7th International
Conference_Location
Langkawi
Print_ISBN
978-1-4673-5072-3
Type
conf
DOI
10.1109/PEOCO.2013.6564647
Filename
6564647
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