电工技术学报  2019, Vol. 34 Issue (4): 786-794    DOI: 10.19595/j.cnki.1000-6753.tces.180040
电力系统 |
基于模糊评价的风电场有功功率分配算法
刘军, 张彬彬, 赵婷
西安理工大学自动化与信息工程学院 西安 710048
Research on Wind Farm Active Power Dispatching Algorithm Based on Fuzzy Evaluation
Liu Jun, Zhang Binbin, Zhao Ting
School of Automation and Information Engineering Xi’an University of Technology Xi’an 710048 China
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摘要 按风速权重风电场有功功率分配算法存在有功功率输出波动大、桨距角频繁调节的问题,为此本文提出一种基于模糊评价的风电场有功功率分配算法。将风电机组限功率运行分为变速、变速变桨和变桨三个运行区,以风电机组的桨距角、转速和风速为输入,通过分区域模糊推理,得到风电机组的健康度和调节能力,最终采用按能力权重分配算法得到风电机组有功功率给定。仿真结果表明,基于模糊评价算法的风电场有功功率输出平滑,风电场机组转速变化和桨矩角变化都较小。
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刘军
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关键词 有功功率分配风电场限功率模糊评价    
Abstract:The active power dispatching algorithm of wind farms based on wind speed weight has the problems of large fluctuation of active power output and frequent adjustment of pitch system. Therefore, an active power dispatching algorithm based on fuzzy evolution had been proposed. The wind turbine curtailment power operation is divided into variable speed, variable speed joint variable pitch and variable pitch operation zone. Taken the pitch angle, rotating speed and wind speed as inputs, the schedule and regulation capacity of wind turbine is given by piecewise fuzzy inferring. Finally, the active power of the wind turbine is obtained by the active power dispatching algorithm based on the capacity weight distribution. The simulation shows that, through the active power dispatching algorithm based the fuzzy evaluation, the active power output of wind farm is smoother and the amplitude of pitch angle is decreased.
Key wordsThe active power dispatching    wind farm    power-limited control    fuzzy evaluation   
收稿日期: 2018-01-15      出版日期: 2019-03-01
PACS: TM614  
基金资助:陕西省重点研发计划项目(2017GY-061)
作者简介: 张彬彬 男,1990年生,博士研究生,研究方向为风电场有功功率优化控制。E-mail: zbb521zbb@126.com
引用本文:   
刘军, 张彬彬, 赵婷. 基于模糊评价的风电场有功功率分配算法[J]. 电工技术学报, 2019, 34(4): 786-794. Liu Jun, Zhang Binbin, Zhao Ting. Research on Wind Farm Active Power Dispatching Algorithm Based on Fuzzy Evaluation. Transactions of China Electrotechnical Society, 2019, 34(4): 786-794.
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https://dgjsxb.ces-transaction.com/CN/10.19595/j.cnki.1000-6753.tces.180040          https://dgjsxb.ces-transaction.com/CN/Y2019/V34/I4/786