Evolutionary optimization method of power system unit commitment problem

Haoyong Chen; Kaoshe Zhang; Xifan Wang

Evolutionary optimization method of power system unit commitment problem

Haoyong Chen
, Kaoshe Zhang
, Xifan Wang

School of Electrical Engineering

Research output: Contribution to journal › Article › peer-review

49 Scopus citations

Abstract

A new evolutionary optimization method of power system unit commitment problem, System Evolutionary Optimization Method (SEO), was presented which is more flexible and robust than conventional methods and can solve the problem of high dimension, non-convex, discrete and non-linear. Based on the methodology presented in the paper, different SEOs can be designed according to specific problems and provide new ways to system planning and operational optimization.

Original language	English
Pages (from-to)	9-13, 40
Journal	Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering
Volume	19
Issue number	12
State	Published - Dec 1999

Cite this

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title = "Evolutionary optimization method of power system unit commitment problem",

abstract = "A new evolutionary optimization method of power system unit commitment problem, System Evolutionary Optimization Method (SEO), was presented which is more flexible and robust than conventional methods and can solve the problem of high dimension, non-convex, discrete and non-linear. Based on the methodology presented in the paper, different SEOs can be designed according to specific problems and provide new ways to system planning and operational optimization.",

author = "Haoyong Chen and Kaoshe Zhang and Xifan Wang",

year = "1999",

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TY - JOUR

T1 - Evolutionary optimization method of power system unit commitment problem

AU - Chen, Haoyong

AU - Zhang, Kaoshe

AU - Wang, Xifan

PY - 1999/12

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N2 - A new evolutionary optimization method of power system unit commitment problem, System Evolutionary Optimization Method (SEO), was presented which is more flexible and robust than conventional methods and can solve the problem of high dimension, non-convex, discrete and non-linear. Based on the methodology presented in the paper, different SEOs can be designed according to specific problems and provide new ways to system planning and operational optimization.

AB - A new evolutionary optimization method of power system unit commitment problem, System Evolutionary Optimization Method (SEO), was presented which is more flexible and robust than conventional methods and can solve the problem of high dimension, non-convex, discrete and non-linear. Based on the methodology presented in the paper, different SEOs can be designed according to specific problems and provide new ways to system planning and operational optimization.

UR - https://www.scopus.com/pages/publications/0033293359

M3 - 文章

AN - SCOPUS:0033293359

SN - 0258-8013

VL - 19

SP - 9-13, 40

JO - Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering

JF - Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering

IS - 12

ER -

Evolutionary optimization method of power system unit commitment problem

Abstract

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