Frequency-trajectory-oriented control strategy for primary frequency regulation of wind farms

被引:0
作者
Yang, Xusong [1 ]
Liu, Lei [1 ]
Gu, Xinyu [1 ]
Luo, Xianjue [1 ,2 ]
机构
[1] Xi An Jiao Tong Univ, Sch Elect Engn, Xian, Shaanxi, Peoples R China
[2] Xi An Jiao Tong Univ, Sch Elect Engn, Xian 710049, Shaanxi, Peoples R China
关键词
frequency deviation; frequency-trajectory-oriented control (FTOC); model predictive control; primary frequency regulation; rate of change of frequency (RoCoF); wind power; TURBINE GENERATORS; ONLINE ESTIMATION; SYSTEM INERTIA; POWER-SYSTEM; SUPPORT; CONVERTERS;
D O I
10.1049/gtd2.12991
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
With the rapid increase of wind power penetration, the frequency indicators of power system, encompassing frequency deviation and rate of change of frequency (RoCoF), are prone to exceed the pertinent relay thresholds, thus leading to serious power outages. Wind farms can participate in primary frequency regulation (PFR) to alleviate the above problem. However, wind farms reserve capacity (WFRC) presented by overspeed control and pitch angle control is the important factor for frequency safety especially when large disturbance occurs, and it varies obviously in different conditions. Thus, WFRC should be utilized optimally to avoid insufficient or excessive response of wind farms in PFR. To overcome the challenge, this paper proposes frequency-trajectory-oriented control (FTOC) for wind farms based on a two-fold optimization framework, seeking to obtain the best frequency control performances in PFR through realizing the optimal compromise between frequency results and the consumption of WFRC. First, when the frequency indicators deviate significantly from the normal values, the optimal frequency trajectory is planned periodically according to the local standards and operation conditions, thereby minimizing the total consumption of WFRC on the premise of frequency safety. Second, based on model predictive control and a real-time power system parameters estimator, the total reference power of wind farms, which helps the frequency track the latest planned trajectory, is optimally distributed among wind generators according to their reserve capacity. In this case, through the optimal frequency trajectory planning and tracking, the new method in this paper not only effectively prevents the frequency results from exceeding the local standards under diverse conditions, but also finds the optimal balance among frequency indicators safety, frequency trajectory smoothness, and the reserve capacity consumption of wind power generators. Finally, the simulation results prove the effectiveness and advancement of FTOC. This paper proposes frequency-trajectory-oriented control (FTOC) for wind farms based on a two-fold optimization framework, seeking to obtain the best frequency control performances in primary frequency regulation through realizing the optimal compromise between frequency results and the consumption of wind farms reserve capacity (WFRC). First, when the frequency indicators deviate significantly from the normal values, the optimal frequency trajectory is planned periodically according to the local standards and operation conditions, thereby minimizing the total consumption of WFRC on the premise of frequency safety. Second, based on model predictive control and a real-time power system parameters estimator, the total reference power of wind farms, which helps the frequency track the latest planned trajectory, is optimally distributed among wind generators according to their reserve capacity. image
引用
收藏
页码:4627 / 4646
页数:20
相关论文
共 38 条
[1]   Integrating Variable Renewables in Europe Current Status and Recent Extreme Events [J].
Ackermann, Thomas ;
Carlini, Enrico Maria ;
Ernst, Bernhard ;
Groome, Frank ;
Orths, Antje ;
O'Sullivan, Jon ;
de la Torre Rodriguez, Miguel ;
Silva, Vera .
IEEE POWER & ENERGY MAGAZINE, 2015, 13 (06) :67-77
[2]   Stability Assessment and Optimization Methods for Microgrid With Multiple VSG Units [J].
Alipoor, Jaber ;
Miura, Yushi ;
Ise, Toshifumi .
IEEE TRANSACTIONS ON SMART GRID, 2018, 9 (02) :1462-1471
[3]   An Optimal Model-Based Control Technique to Improve Wind Farm Participation to Frequency Regulation [J].
Baccino, Francesco ;
Conte, Francesco ;
Grillo, Samuele ;
Massucco, Stefano ;
Silvestro, Federico .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2015, 6 (03) :993-1003
[4]   A Hierarchical Inertial Control Scheme for Multiple Wind Farms With BESSs Based on ADMM [J].
Bao, Weiyu ;
Wu, Qiuwei ;
Ding, Lei ;
Huang, Sheng ;
Terzija, Vladimir .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2021, 12 (02) :751-760
[5]   Simulation and Comparative Analysis of DFIG-based WECS Using Stator Voltage and Stator Flux Reference Frames [J].
Calderon, G. ;
Mina, J. ;
Rosas-Caro, J. ;
Madrigal, M. ;
Claudio, A. ;
Lopez, A. .
IEEE LATIN AMERICA TRANSACTIONS, 2017, 15 (06) :1052-1059
[6]   Modern electric machines and drives for wind power generation: A review of opportunities and challenges [J].
Chen, Hao ;
Zuo, Yuefei ;
Chau, K. T. ;
Zhao, Wenxiang ;
Lee, Christopher H. T. .
IET RENEWABLE POWER GENERATION, 2021, 15 (09) :1864-1887
[7]   Frequency response capability of full converter wind turbine generators in comparison to conventional generation [J].
Conroy, James F. ;
Watson, Rick .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2008, 23 (02) :649-656
[8]   Frequency Support From Wind Turbine Generators With a Time-Variable Droop Characteristic [J].
Garmroodi, Mehdi ;
Verbic, Gregor ;
Hill, David J. .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2018, 9 (02) :676-684
[9]   Double-Layer Feedback Control Method for Synchronized Frequency Regulation of PMSG-Based Wind Farm [J].
Guo, Li ;
Ren, Yifei ;
Wang, Zhongguan ;
Zhu, Xiang ;
Wang, Xunyang ;
Li, Xialin ;
Liu, Yixin ;
Zang, Xiaodi ;
Wang, Chengshan .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2021, 12 (04) :2423-2435
[10]   Data-Driven Model Predictive Control Method for Wind Farms to Provide Frequency Support [J].
Guo, Zizhen ;
Wu, Wenchuan .
IEEE TRANSACTIONS ON ENERGY CONVERSION, 2022, 37 (02) :1304-1313