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

共 50 条

[31] Novel STATCOM Control Strategy for Wind Farm Reactive Power Compensation
Wu, H. T.
Liu, Y. H.
[J]. 2011 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2011,
[32] Optimal Power Control Strategy for Wind Farm with Energy Storage System
Nguyen, Cong-Long
Lee, Hong-Hee
[J]. JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2017, 12 (02) : 726 - 737
[33] Reactive Control Strategy for Wind Farm Considering Reactive Power Command
Zhu, L. Z.
Chen, N.
Wang, W.
Zhu, X. D.
[J]. 2009 INTERNATIONAL CONFERENCE ON SUSTAINABLE POWER GENERATION AND SUPPLY, VOLS 1-4, 2009, : 998 - 1002
[34] Reactive power and voltage control strategy for wind farm based on STATCOM
Wang, Chengfu
Liang, Jun
Zhang, Li
Han, Xueshan
[J]. Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2010, 30 (25): : 23 - 28
[35] Control strategy for regulating reactive power exchange in offshore wind farm
Dicorato, M.
Forte, G.
Trovato, M.
De Tuglie, E.
[J]. IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE 2010), 2010, : 2363 - 2370
[36] Combined Re/Active Power Control for Wind Farm Under Low Voltage Ride Through Based on Wind Turbines Grouping and Deep Reinforcement Learning
Han, Ji
Miao, Shihong
Martinez-Rico, Jon
Liu, Zhou
Chen, Zhe
Cai, Jie
[J]. Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2023, 43 (11): : 4228 - 4243
[37] A New Wind Farm Active Power Control Strategy to Boost Tracking Margins in High-demand Scenarios
Tamaro, Simone
Bottasso, Carlo L.
[J]. 2023 AMERICAN CONTROL CONFERENCE, ACC, 2023, : 192 - 197
[38] Application of Reinforcement Learning to Wind Farm Active Power Control Design
Zhang, Xuanhe
Badihi, Hamed
Yu, Ziquan
Benbouzid, Mohamed
Lu, Ningyun
Zhang, Youmin
[J]. 2022 IEEE ELECTRICAL POWER AND ENERGY CONFERENCE (EPEC), 2022, : 229 - 234
[39] Active Power Real-time Control Strategy for Wind Farm Considering AGC adjustment capability Limits
He, Chengming
Wang, Hongtao
[J]. 2014 IEEE PES T&D CONFERENCE AND EXPOSITION, 2014,
[40] Research on Theoretical Power of Wind Farm Based on Wind Turbine Grouping Method
Zhang, Xiaoqi
Zhang, Zhenyu
Sun, Xiaoqiang
Wan, Xiaozhong
Wang, Bo
[J]. Gaodianya Jishu/High Voltage Engineering, 2019, 45 (01): : 284 - 292

← 1 2 3 4 5 →