Scheduling electric power production at a wind farm

被引：26

作者：

Zhang, Zijun ^{[3
]}

Kusiak, Andrew ^{[2
]}

Song, Zhe ^{[1
]}

机构：

[1] Nanjing Univ, Sch Business, Nanjing 210093, Jiangsu, Peoples R China

[2] Univ Iowa, Dept Mech & Ind Engn, Seamans Ctr 3131, Iowa City, IA 52242 USA

[3] City Univ Hong Kong, Dept Syst Engn & Engn Management, Hong Kong, Hong Kong, Peoples R China

来源：

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH | 2013年 / 224卷 / 01期

关键词：

Scheduling; Evolutionary computations; Wind farm; Particle swarm optimization; Small world network; PARTICLE SWARM; ECONOMIC-DISPATCH; OPTIMIZATION; TURBINE;

D O I：

10.1016/j.ejor.2012.07.043

中图分类号：

C93 [管理学];

学科分类号：

120117 [社会管理工程];

摘要：

We present a model for scheduling power generation at a wind farm, and introduce a particle swarm optimization algorithm with a small world network structure to solve the model. The solution generated by the algorithm defines the operational status of wind turbines for a scheduling horizon selected by a decision maker. Different operational scenarios are constructed based on time series data of electricity price, grid demand, and wind speed. The computational results provide insights into management of a wind farm. (C) 2012 Elsevier B.V. All rights reserved.

引用

页码：227 / 238

页数：12

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