A joint optimization approach on monthly unit commitment and maintenance scheduling for wind power integrated power systems

被引：0

作者：

Zhou, Ming ^{[1
]}

Xia, Shu ^{[1
]}

Li, Yan ^{[1
]}

Li, Gengyin ^{[1
]}

机构：

[1] State Key Laboratory for Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), Changping District, Beijing

来源：

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2015年 / 35卷 / 07期

基金：

中国国家自然科学基金;

关键词：

Correlation; Joint optimization; Maintenance scheduling; Unit commitment; Wind power;

D O I：

10.13334/j.0258-8013.pcsee.2015.07.005

中图分类号：

学科分类号：

摘要：

The joint dispatch of monthly unit commitment and maintenance scheduling considering the randomness and correlation of the wind power appropriately for wind power integrated power system plays an important role in improving the acceptance ability of wind power as well as the reliability and economy of medium-term operation. The stochastic behavior of wind power can be described as probability distribution based on the historical data of wind speed, and thus the stochastic joint dispatch model of monthly unit commitment and maintenance scheduling based on chance-constrained programming is formulated. The method of stochastic model transferring to determined model was proposed. To achieve the joint optimization of generation dispatch and maintenance scheduling, the maintenance cost as well as the constraints of maintenance were introduced. The index variables of them were set respectively and incidence matrix was created considering the coupling between unit commitment and maintenance scheduling. Finally, the proposed model was solved by mixed integer linear programming. The simulation results of IEEE 118 buses system verified the rationality and efficiency of the proposed method. © 2015 Chin. Soc. for Elec. Eng..

引用

页码：1586 / 1595

页数：9

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