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Optimal Power Flow Calculation of Power System Containing Wind Farm Based on Stochastic Simulation's Artificial Bee Colony Algorithm
Hao, Xiaohong2; Jiang, Chen1; Wu, Lizhen1; Gu, Qun1
2014
页码426-432
英文摘要In this paper, because of the uncertainty of wind led to exist wind farms the random feature problem. In order to power system containing wind power generation can reach security operation, a mathematical model based on power system containing wind power generation of chance constrained programming is established, which contained two different models of wind turbine with asynchronous generator and double fed induction generator. The chance constrained programming, stochastic simulation and artificial bee colony algorithm is introduced under consideration of random feature of wind speed, the power characteristic of differences of wind turbines. So the model's objective function is to minimize cost of power plants, and stochastic simulation artificial bee colony algorithm is utilized to solve this problem. Finally the result of IEEE 30 bus system indicates which using stochastic simulation artificial bee colony algorithm to calculate the problem of power system containing wind power generation of optimal power flow has the advantage of reliability and effectiveness.
会议录INTERNATIONAL CONFERENCE ON ELECTRICAL, CONTROL AND AUTOMATION (ICECA 2014)
会议录出版者DESTECH PUBLICATIONS, INC
会议录出版地439 DUKE STREET, LANCASTER, PA 17602-4967 USA
语种英语
资助项目National Nature Science Foundation of China[61263008]
WOS研究方向Automation & Control Systems ; Engineering
WOS记录号WOS:000337527200059
内容类型会议论文
源URL[http://119.78.100.223/handle/2XXMBERH/36673]  
专题电气工程与信息工程学院
计算机与通信学院
通讯作者Hao, Xiaohong
作者单位1.Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou 730050, Peoples R China
2.Lanzhou Univ Technol, Coll Comp & Commun, Lanzhou 730050, Peoples R China
推荐引用方式
GB/T 7714
Hao, Xiaohong,Jiang, Chen,Wu, Lizhen,et al. Optimal Power Flow Calculation of Power System Containing Wind Farm Based on Stochastic Simulation's Artificial Bee Colony Algorithm[C]. 见:.
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