9th Joint International Conference on Information Sciences (JCIS-06)

Fuzzy Modeling with Immune Multi-Objective Algorithm to Optimal Allocate of Capacitors in Distribution Systems

Authors
Hsiao Ying-Tung 0, Tsong-Yau Huang, Chia-Pang Chen, Chih-Han Chang
Corresponding Author
Hsiao Ying-Tung
0Dept. of Computer Science, NTUE
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DOI
https://doi.org/10.2991/jcis.2006.289How to use a DOI?
Keywords
Fuzzy modeling, capacitor placement, immune algorithm, non-inferior set, compromise programming
Abstract
This work proposes a two-stage immune algorithm that embeds the compromise programming to perform multi-objective optimal capacitor placement. A new problem formulation model that involves fuzzy sets to reflect the imprecise nature of objectives and incorporates multiple planning requirements is presented. The proposed approach finds a set of non-inferior (Pareto) solutions rather than any single aggregated optimal solution. Additionally, this developed approach eliminates the need for any user-defined weight factor to aggregate all objectives. Comparative studies are conducted on an actual system with encouraging results, demonstrating the effectiveness of the proposed presented approach.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
9th Joint International Conference on Information Sciences (JCIS-06)
Publication Date
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ISBN
978-90-78677-01-7
DOI
https://doi.org/10.2991/jcis.2006.289How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Hsiao Ying-Tung
AU  - Tsong-Yau Huang
AU  - Chia-Pang Chen
AU  - Chih-Han Chang
PY  - NaN/NaN
DA  - NaN/NaN
TI  - Fuzzy Modeling with Immune Multi-Objective Algorithm to Optimal Allocate of Capacitors in Distribution Systems
BT  - 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/jcis.2006.289
DO  - https://doi.org/10.2991/jcis.2006.289
ID  - Ying-TungNaN/NaN
ER  -