标题:Assessment of AGC performance based on thermal power unit model
作者:Pang, Xiangkun ;Zhang, Chao ;Cui, Shijun ;Yu, Qingbin ;Liu, Jun
作者机构:[Pang, Xiangkun ;Yu, Qingbin ;Liu, Jun ] State Grid Shandong Electric Power Research Institute, Jinan, China;[Zhang, Chao ;Cui, Shijun ] College of El 更多
会议名称:2019 International Conference on Communications, Information System, and Computer Engineering, CISCE 2019
会议日期:5 July 2019 through 7 July 2019
来源:Proceedings - 2019 International Conference on Communications, Information System, and Computer Engineering, CISCE 2019
出版年:2019
页码:23-30
DOI:10.1109/CISCE.2019.00013
关键词:Automatic generation control; Genetic algorithm; Performance evaluation; Thermal power unit model
摘要:Automatic generation control (AGC) technology is an important technical to maintain balance between power generators and loads. As the proportion of new energy power generation increases, the grid has higher requirements for frequency stability, so an accurate AGC performance evaluation method is necessary. This paper establishes a model of thermal power unit, and the model considers the influence of primary frequency control. After the model established, the model parameters are calculated by the genetic algorithm. And the accuracy is obtained of the model by calculating the fit between the actual output and the model output. Then the AGC performance evaluation results are obtained through the established model. It can be seen from the industrial case that the proposed method can accurately calculate the AGC performance evaluation index. © 2019 IEEE.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85071948426&doi=10.1109%2fCISCE.2019.00013&partnerID=40&md5=5399b2a29627b01a6d15f60111df6d00
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