### 摘要

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.

原文 | English |
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頁面 | 284-289 |

頁數 | 6 |

出版狀態 | Published - 1996 十二月 1 |

事件 | Proceedings of the 1996 Asian Fuzzy Systems Symposium - Kenting, Taiwan 持續時間: 1996 十二月 11 → 1996 十二月 14 |

### Other

Other | Proceedings of the 1996 Asian Fuzzy Systems Symposium |
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城市 | Kenting, Taiwan |

期間 | 96-12-11 → 96-12-14 |

### 指紋

### All Science Journal Classification (ASJC) codes

- Engineering(all)

### 引用此文

*Fuzzy bi-objective decision method for dispatch of electrical power load*. 284-289. 論文發表於 Proceedings of the 1996 Asian Fuzzy Systems Symposium, Kenting, Taiwan, .

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**Fuzzy bi-objective decision method for dispatch of electrical power load.** / Huang, C. M.; Yang, H. T.; Huang, C. L.

研究成果: Paper

TY - CONF

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 - 1996/12/1

Y1 - 1996/12/1

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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UR - http://www.scopus.com/inward/citedby.url?scp=0030354229&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:0030354229

SP - 284

EP - 289

ER -