Short-term scheduling of reactive power controllers using a hybrid taguchi-genetic algorithm

Chao Rong Chen; Yi Cheng Chang; Chi Chen Huang; Ying Yi Hong; Faa Jeng Lin

doi:10.1109/SMC.2013.36

Short-term scheduling of reactive power controllers using a hybrid taguchi-genetic algorithm

Chao Rong Chen, Yi Cheng Chang, Chi Chen Huang, Ying Yi Hong, Faa Jeng Lin

Department of Electrical Engineering

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

2 Scopus citations

Abstract

The paper proposes an application of Hybrid Taguchi- Genetic Algorithm (HTGA) on short- Term reactive power dispatch scheduling. HTGA is an algorithm combining traditional genetic algorithm of powerful global search function with Taguchi algorithm of orthogonal array and signal to noise ratio data, to reduce iteration times and acquire a better near optimal solution. The reactive power scheduling is to minimize active power loss for system under given constraints through adjusting power generator voltage magnitudes, tap changing transformer setting and shunt capacitors/ reactors. The results show that HTGA is superior to traditional genetic algorithm in both convergent stability and solution, and the feasibility of proposed method is verified.

Original language	English
Title of host publication	Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013
Pages	168-173
Number of pages	6
DOIs	https://doi.org/10.1109/SMC.2013.36
State	Published - 2013
Event	2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013 - Manchester, United Kingdom Duration: 13 Oct 2013 → 16 Oct 2013

Publication series

Name	Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013

Conference

Conference	2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013
Country/Territory	United Kingdom
City	Manchester
Period	13/10/13 → 16/10/13

Keywords

Genetic algorithm
Reactive power scheduling
Taguchi method

Access to Document

10.1109/SMC.2013.36

Cite this

Chen, C. R., Chang, Y. C., Huang, C. C., Hong, Y. Y., & Lin, F. J. (2013). Short-term scheduling of reactive power controllers using a hybrid taguchi-genetic algorithm. In Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013 (pp. 168-173). Article 6721789 (Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013). https://doi.org/10.1109/SMC.2013.36

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title = "Short-term scheduling of reactive power controllers using a hybrid taguchi-genetic algorithm",

abstract = "The paper proposes an application of Hybrid Taguchi- Genetic Algorithm (HTGA) on short- Term reactive power dispatch scheduling. HTGA is an algorithm combining traditional genetic algorithm of powerful global search function with Taguchi algorithm of orthogonal array and signal to noise ratio data, to reduce iteration times and acquire a better near optimal solution. The reactive power scheduling is to minimize active power loss for system under given constraints through adjusting power generator voltage magnitudes, tap changing transformer setting and shunt capacitors/ reactors. The results show that HTGA is superior to traditional genetic algorithm in both convergent stability and solution, and the feasibility of proposed method is verified.",

keywords = "Genetic algorithm, Reactive power scheduling, Taguchi method",

author = "Chen, {Chao Rong} and Chang, {Yi Cheng} and Huang, {Chi Chen} and Hong, {Ying Yi} and Lin, {Faa Jeng}",

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Chen, CR, Chang, YC, Huang, CC, Hong, YY & Lin, FJ 2013, Short-term scheduling of reactive power controllers using a hybrid taguchi-genetic algorithm. in Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013., 6721789, Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013, pp. 168-173, 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013, Manchester, United Kingdom, 13/10/13. https://doi.org/10.1109/SMC.2013.36

Short-term scheduling of reactive power controllers using a hybrid taguchi-genetic algorithm. / Chen, Chao Rong; Chang, Yi Cheng; Huang, Chi Chen et al.
Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013. 2013. p. 168-173 6721789 (Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013).

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

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T1 - Short-term scheduling of reactive power controllers using a hybrid taguchi-genetic algorithm

AU - Chen, Chao Rong

AU - Chang, Yi Cheng

AU - Huang, Chi Chen

AU - Hong, Ying Yi

AU - Lin, Faa Jeng

PY - 2013

Y1 - 2013

N2 - The paper proposes an application of Hybrid Taguchi- Genetic Algorithm (HTGA) on short- Term reactive power dispatch scheduling. HTGA is an algorithm combining traditional genetic algorithm of powerful global search function with Taguchi algorithm of orthogonal array and signal to noise ratio data, to reduce iteration times and acquire a better near optimal solution. The reactive power scheduling is to minimize active power loss for system under given constraints through adjusting power generator voltage magnitudes, tap changing transformer setting and shunt capacitors/ reactors. The results show that HTGA is superior to traditional genetic algorithm in both convergent stability and solution, and the feasibility of proposed method is verified.

AB - The paper proposes an application of Hybrid Taguchi- Genetic Algorithm (HTGA) on short- Term reactive power dispatch scheduling. HTGA is an algorithm combining traditional genetic algorithm of powerful global search function with Taguchi algorithm of orthogonal array and signal to noise ratio data, to reduce iteration times and acquire a better near optimal solution. The reactive power scheduling is to minimize active power loss for system under given constraints through adjusting power generator voltage magnitudes, tap changing transformer setting and shunt capacitors/ reactors. The results show that HTGA is superior to traditional genetic algorithm in both convergent stability and solution, and the feasibility of proposed method is verified.

KW - Genetic algorithm

KW - Reactive power scheduling

KW - Taguchi method

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Chen CR, Chang YC, Huang CC, Hong YY, Lin FJ. Short-term scheduling of reactive power controllers using a hybrid taguchi-genetic algorithm. In Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013. 2013. p. 168-173. 6721789. (Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013). doi: 10.1109/SMC.2013.36

Short-term scheduling of reactive power controllers using a hybrid taguchi-genetic algorithm

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