Environmental/economic dispatch using an adaptive multiobjective differential evolution algorithm

Zhong Yi Lin; Chen Yu Lee; Tsung Che Chiang

doi:10.1109/ICCE-China.2017.7991119

Environmental/economic dispatch using an adaptive multiobjective differential evolution algorithm

Zhong Yi Lin, Chen Yu Lee, Tsung Che Chiang

Department of Computer Science and Information Engineering

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

1 Citation (Scopus)

Abstract

This paper addresses the environmental/economic dispatch (EED) problem, which aims to minimize the fuel cost and emission of pollutants in a power generation system. We propose an adaptive multiobjective differential evolution algorithm to solve the problem by seeking for the set of Pareto optimal solutions. Performance of the proposed algorithm is verified by comparing with a recent algorithm using two public test systems. Experimental results show that the proposed algorithm has competitive performance.

Original language	English
Title of host publication	2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	309-310
Number of pages	2
ISBN (Electronic)	9781509040179
DOIs	https://doi.org/10.1109/ICCE-China.2017.7991119
Publication status	Published - 2017 Jul 25
Event	4th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017 - Taipei, United States Duration: 2017 Jun 12 → 2017 Jun 14

Publication series

Name	2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017

Other

Other	4th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017
Country/Territory	United States
City	Taipei
Period	2017/06/12 → 2017/06/14

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Computer Networks and Communications
Signal Processing
Biomedical Engineering
Instrumentation
Electrical and Electronic Engineering

Access to Document

10.1109/ICCE-China.2017.7991119

Cite this

Lin, Z. Y., Lee, C. Y., & Chiang, T. C. (2017). Environmental/economic dispatch using an adaptive multiobjective differential evolution algorithm. In 2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017 (pp. 309-310). Article 7991119 (2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-China.2017.7991119

Environmental/economic dispatch using an adaptive multiobjective differential evolution algorithm. / Lin, Zhong Yi; Lee, Chen Yu; Chiang, Tsung Che.
2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 309-310 7991119 (2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017).

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

Lin, ZY, Lee, CY & Chiang, TC 2017, Environmental/economic dispatch using an adaptive multiobjective differential evolution algorithm. in 2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017., 7991119, 2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017, Institute of Electrical and Electronics Engineers Inc., pp. 309-310, 4th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017, Taipei, United States, 2017/06/12. https://doi.org/10.1109/ICCE-China.2017.7991119

Lin ZY, Lee CY, Chiang TC. Environmental/economic dispatch using an adaptive multiobjective differential evolution algorithm. In 2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 309-310. 7991119. (2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017). doi: 10.1109/ICCE-China.2017.7991119

Lin, Zhong Yi ; Lee, Chen Yu ; Chiang, Tsung Che. / Environmental/economic dispatch using an adaptive multiobjective differential evolution algorithm. 2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 309-310 (2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017).

@inproceedings{a613977d3d2f44258f4cb389a38fbaf0,

title = "Environmental/economic dispatch using an adaptive multiobjective differential evolution algorithm",

abstract = "This paper addresses the environmental/economic dispatch (EED) problem, which aims to minimize the fuel cost and emission of pollutants in a power generation system. We propose an adaptive multiobjective differential evolution algorithm to solve the problem by seeking for the set of Pareto optimal solutions. Performance of the proposed algorithm is verified by comparing with a recent algorithm using two public test systems. Experimental results show that the proposed algorithm has competitive performance.",

author = "Lin, {Zhong Yi} and Lee, {Chen Yu} and Chiang, {Tsung Che}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 4th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017 ; Conference date: 12-06-2017 Through 14-06-2017",

year = "2017",

month = jul,

day = "25",

doi = "10.1109/ICCE-China.2017.7991119",

language = "English",

series = "2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "309--310",

booktitle = "2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017",

}

TY - GEN

T1 - Environmental/economic dispatch using an adaptive multiobjective differential evolution algorithm

AU - Lin, Zhong Yi

AU - Lee, Chen Yu

AU - Chiang, Tsung Che

PY - 2017/7/25

Y1 - 2017/7/25

N2 - This paper addresses the environmental/economic dispatch (EED) problem, which aims to minimize the fuel cost and emission of pollutants in a power generation system. We propose an adaptive multiobjective differential evolution algorithm to solve the problem by seeking for the set of Pareto optimal solutions. Performance of the proposed algorithm is verified by comparing with a recent algorithm using two public test systems. Experimental results show that the proposed algorithm has competitive performance.

AB - This paper addresses the environmental/economic dispatch (EED) problem, which aims to minimize the fuel cost and emission of pollutants in a power generation system. We propose an adaptive multiobjective differential evolution algorithm to solve the problem by seeking for the set of Pareto optimal solutions. Performance of the proposed algorithm is verified by comparing with a recent algorithm using two public test systems. Experimental results show that the proposed algorithm has competitive performance.

UR - http://www.scopus.com/inward/record.url?scp=85028506151&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85028506151&partnerID=8YFLogxK

U2 - 10.1109/ICCE-China.2017.7991119

DO - 10.1109/ICCE-China.2017.7991119

M3 - Conference contribution

AN - SCOPUS:85028506151

T3 - 2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017

SP - 309

EP - 310

BT - 2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 4th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017

Y2 - 12 June 2017 through 14 June 2017

ER -

Environmental/economic dispatch using an adaptive multiobjective differential evolution algorithm

Abstract

Publication series

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this