Dynamic Grouping Strategy for Active Power Control of Wind Farm

被引：0

作者：

Xiang, Li ^{[1
]}

Xie, Yang ^{[2
]}

Zhang, Bolin ^{[3
]}

Ding, Maosheng ^{[1
]}

Fu, Zheng ^{[3
]}

Tang, Yi ^{[2
]}

机构：

[1] Ningxia Elect Power Co, Yinchuan, Peoples R China

[2] Univ Southeast Nanjing, Sch Elect Engn, Nanjing, Peoples R China

[3] Gansu Electr Dispatching & Commun Ctr, Lanzhou, Peoples R China

来源：

2013 IEEE 3RD ANNUAL INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL AND INTELLIGENT SYSTEMS (CYBER) | 2013年

关键词：

wind power; dynamic grouping; active power control; ultra-short term power prediction;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Due to that the randomness and fluctuation of wind power may make active power of wind farm difficulty to be controlled, a wind generator dynamic grouping based strategy for active power control of wind farm is proposed. This strategy can classify wind generators into six groups dynamically using the information of ultra-short term power prediction and realtime operation status of wind generators. The power of the two groups with non-monotonous variation trends will be preprocessed, and the principle of control of different wind generator groups is given. Further, detailed allocation method is introduced by analyzing the power regulation ability of wind generators. Case study is carried out to verify the effectiveness of the proposed strategy in a wind farm, the result shows that the power output of wind farm can be smoothened by dynamic and optimal grouping.

引用

页码：132 / +

页数：2

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