PV 시스템의 최적 배치 문제를 위한 이산 PSO에서의 규칙 기반 하이브리드 이산화

Translated title of the contribution: Rule-based Hybrid Discretization of Discrete Particle Swarm Optimization for Optimal PV System Allocation

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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.
Translated title of the contributionRule-based Hybrid Discretization of Discrete Particle Swarm Optimization for Optimal PV System Allocation
Original languageKorean
Pages (from-to)792-797
Number of pages6
Journal한국지능시스템학회 논문지
Volume21
Issue number6
DOIs
StatePublished - Dec 2011

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