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