Fuzzy bi-objective decision method for dispatch of electrical power load

C. M. Huang; H. T. Yang; C. L. Huang

Fuzzy bi-objective decision method for dispatch of electrical power load

C. M. Huang, H. T. Yang, C. L. Huang

Research output: Contribution to conference › Paper › peer-review

Abstract

A fuzzy bi-objective decision approach is presented to solve the power dispatch problem regarding both minimum fuel cost and minimum environmental impact of NO_x emission. Based on the fuzzy utility functions of system operators and a fuzzy satisfaction-maximizing scheme, a set of non-inferior solutions are obtained. For each non-inferior solution, the associated marginal rate of substitution (MRS) is then calculated to help the operators more rationally determine the weight factors of the objectives considered and hence the final best compromise solution. Numerical results of the IEEE 30-bus test systems are presented to demonstrate the proposed fuzzy bi-objective decision approach.

Original language	English
Pages	284-289
Number of pages	6
Publication status	Published - 1996
Event	Proceedings of the 1996 Asian Fuzzy Systems Symposium - Kenting, Taiwan Duration: 1996 Dec 11 → 1996 Dec 14

Other

Other	Proceedings of the 1996 Asian Fuzzy Systems Symposium
City	Kenting, Taiwan
Period	96-12-11 → 96-12-14

All Science Journal Classification (ASJC) codes

General Engineering

Cite this

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title = "Fuzzy bi-objective decision method for dispatch of electrical power load",

abstract = "A fuzzy bi-objective decision approach is presented to solve the power dispatch problem regarding both minimum fuel cost and minimum environmental impact of NOx emission. Based on the fuzzy utility functions of system operators and a fuzzy satisfaction-maximizing scheme, a set of non-inferior solutions are obtained. For each non-inferior solution, the associated marginal rate of substitution (MRS) is then calculated to help the operators more rationally determine the weight factors of the objectives considered and hence the final best compromise solution. Numerical results of the IEEE 30-bus test systems are presented to demonstrate the proposed fuzzy bi-objective decision approach.",

author = "Huang, {C. M.} and Yang, {H. T.} and Huang, {C. L.}",

year = "1996",

language = "English",

pages = "284--289",

note = "Proceedings of the 1996 Asian Fuzzy Systems Symposium ; Conference date: 11-12-1996 Through 14-12-1996",

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T1 - Fuzzy bi-objective decision method for dispatch of electrical power load

AU - Huang, C. M.

AU - Yang, H. T.

AU - Huang, C. L.

PY - 1996

Y1 - 1996

N2 - A fuzzy bi-objective decision approach is presented to solve the power dispatch problem regarding both minimum fuel cost and minimum environmental impact of NOx emission. Based on the fuzzy utility functions of system operators and a fuzzy satisfaction-maximizing scheme, a set of non-inferior solutions are obtained. For each non-inferior solution, the associated marginal rate of substitution (MRS) is then calculated to help the operators more rationally determine the weight factors of the objectives considered and hence the final best compromise solution. Numerical results of the IEEE 30-bus test systems are presented to demonstrate the proposed fuzzy bi-objective decision approach.

AB - A fuzzy bi-objective decision approach is presented to solve the power dispatch problem regarding both minimum fuel cost and minimum environmental impact of NOx emission. Based on the fuzzy utility functions of system operators and a fuzzy satisfaction-maximizing scheme, a set of non-inferior solutions are obtained. For each non-inferior solution, the associated marginal rate of substitution (MRS) is then calculated to help the operators more rationally determine the weight factors of the objectives considered and hence the final best compromise solution. Numerical results of the IEEE 30-bus test systems are presented to demonstrate the proposed fuzzy bi-objective decision approach.

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M3 - Paper

AN - SCOPUS:0030354229

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T2 - Proceedings of the 1996 Asian Fuzzy Systems Symposium

Y2 - 11 December 1996 through 14 December 1996

ER -

Fuzzy bi-objective decision method for dispatch of electrical power load

Abstract

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All Science Journal Classification (ASJC) codes

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