A rule-based expert system for the optimal problem of PV systems using particle swarm optimization

Hwachang Song; Jaehwan Koh; Kyeonghwa Kim; Byoungwook Choi

doi:10.1109/ICIEA.2012.6360709

A rule-based expert system for the optimal problem of PV systems using particle swarm optimization

Hwachang Song, Jaehwan Koh, Kyeonghwa Kim, Byoungwook Choi

Dept. of Electrical and Information Engineering

Seoul National University of Science and Technology (SNUST)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012
Pages	126-130
Number of pages	5
DOIs	https://doi.org/10.1109/ICIEA.2012.6360709
State	Published - 2012
Event	2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012 - Singapore, Singapore Duration: 18 Jul 2012 → 20 Jul 2012

Publication series

Name	Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012

Conference

Conference	2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012
Country/Territory	Singapore
City	Singapore
Period	18/07/12 → 20/07/12

Keywords

Expert
Optimization
PSO
PV
Rule-based

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/ICIEA.2012.6360709

Cite this

Song, H., Koh, J., Kim, K., & Choi, B. (2012). A rule-based expert system for the optimal problem of PV systems using particle swarm optimization. In Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012 (pp. 126-130). Article 6360709 (Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012). https://doi.org/10.1109/ICIEA.2012.6360709

Song, Hwachang ; Koh, Jaehwan ; Kim, Kyeonghwa et al. / A rule-based expert system for the optimal problem of PV systems using particle swarm optimization. Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012. 2012. pp. 126-130 (Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012).

@inproceedings{3adcaa0712704ab4aabc8fe98c625ece,

title = "A rule-based expert system for the optimal problem of PV systems using particle swarm optimization",

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, Optimization, PSO, PV, Rule-based",

author = "Hwachang Song and Jaehwan Koh and Kyeonghwa Kim and Byoungwook Choi",

year = "2012",

doi = "10.1109/ICIEA.2012.6360709",

language = "English",

isbn = "9781457721175",

series = "Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012",

pages = "126--130",

booktitle = "Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012",

note = "2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012 ; Conference date: 18-07-2012 Through 20-07-2012",

}

Song, H, Koh, J, Kim, K & Choi, B 2012, A rule-based expert system for the optimal problem of PV systems using particle swarm optimization. in Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012., 6360709, Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012, pp. 126-130, 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012, Singapore, Singapore, 18/07/12. https://doi.org/10.1109/ICIEA.2012.6360709

A rule-based expert system for the optimal problem of PV systems using particle swarm optimization. / Song, Hwachang; Koh, Jaehwan; Kim, Kyeonghwa et al.
Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012. 2012. p. 126-130 6360709 (Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Choi, Byoungwook

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

KW - Expert

KW - Optimization

KW - PSO

KW - PV

KW - Rule-based

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U2 - 10.1109/ICIEA.2012.6360709

DO - 10.1109/ICIEA.2012.6360709

M3 - Conference contribution

AN - SCOPUS:84871701582

SN - 9781457721175

T3 - Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012

SP - 126

EP - 130

BT - Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012

T2 - 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012

Y2 - 18 July 2012 through 20 July 2012

ER -

Song H, Koh J, Kim K , Choi B. A rule-based expert system for the optimal problem of PV systems using particle swarm optimization. In Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012. 2012. p. 126-130. 6360709. (Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012). doi: 10.1109/ICIEA.2012.6360709

A rule-based expert system for the optimal problem of PV systems using particle swarm optimization

Abstract

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Keywords

UN SDGs

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