DocumentCode :
578929
Title :
A rule-based expert system for the optimal problem of PV systems using particle swarm optimization
Author :
Song, Hwachang ; Koh, Jaehwan ; Kim, Kyeonghwa ; Choi, Byoungwook
Author_Institution :
Dept. of Electr. Eng. & Inf. Technol., Seoul Nat. Univ. of Sci. & Technol., Seoul, South Korea
fYear :
2012
fDate :
18-20 July 2012
Firstpage :
126
Lastpage :
130
Abstract :
This paper presents a rule-based expert system for the optimal problem of photovoltaic(PV) system using discrete particle swarm optimization(PSO) in distribution power system. Expert system is applied on the discretization for a real-valued particle´s velocity to a multi-valued discrete variable. In the discrete PSO procedures, several rules in terms of object value and optimization speed are employed to search for an optimal solution. The numerical results show the usefulness of the proposed discrete PSO for the allocation problem.
Keywords :
expert systems; particle swarm optimisation; photovoltaic power systems; power engineering computing; PSO; PV systems optimal problem; discrete particle swarm optimization; multivalued discrete variable; photovoltaic system; real-valued particle velocity; rule-based expert system; Convergence; Expert systems; Linear programming; Optimization; Particle swarm optimization; Quantization; Reactive power; Expert; Optimization; PSO; PV; Rule-based;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2012 7th IEEE Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4577-2118-2
Type :
conf
DOI :
10.1109/ICIEA.2012.6360709
Filename :
6360709
Link To Document :
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