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http://dx.doi.org/10.5391/JKIIS.2011.21.6.792

Rule-based Hybrid Discretization of Discrete Particle Swarm Optimization for Optimal PV System Allocation  

Song, Hwa-Chang (서울과학기술대학교 전기공학과)
Ko, Jae-Hwan (서울과학기술대학교 전기공학과)
Choi, Byoung-Wook (서울과학기술대학교 전기공학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.21, no.6, 2011 , pp. 792-797 More about this Journal
Abstract
This paper discusses the application of a hybrid discretiziation method for the discretization procedure that needs to be included in discrete particle swarm optimization (DPSO) for the problem of allocating PV (photovoltaic) systems onto distribution power systems. For this purpose, this paper proposes a rule-based expert system considering the objective function value and its optimizing speed as the input parameters and applied it to the PV allocation problem including discrete decision variables. For multi-level discretization, this paper adopts a hybrid method combined with a simple rounding and sigmoid funtion based 3-step and 5-step quantization methods, and the application of the rule based expert system proposing the adequate discretization method at each PSO iteration so that the DPSO with the hybrid discretization can provide better performance than the previous DPSO.
Keywords
Discrete particle swarm optimization (DPSO); expert system; optimal allocation; photovoltaic systems; rule-based discretization;
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