Model-Free Adaptive Control of STATCOM for SSO Mitigation in DFIG-Based Wind Farm

被引：48
|
作者：
Wu, Xi [1 ,2 ]
Wang, Mengting [1 ]
Shahidehpour, Mohammad [3 ]
Feng, Shuang [1 ]
Chen, Xi [1 ]
机构：
[1] Southeast Univ, Sch Elect Engn, Nanjing 210096, Jiangsu, Peoples R China
[2] Key Lab Smart Grid Technol & Equipment, Nanjing, Jiangsu, Peoples R China
[3] IIT, Elect & Comp Engn Dept, Chicago, IL USA
来源：
IEEE TRANSACTIONS ON POWER SYSTEMS | 2021年 / 36卷 / 06期
基金：
中国国家自然科学基金;
关键词：
Automatic voltage control; Doubly fed induction generators; Wind farms; Resistance; Oscillators; Frequency control; Adaptation models; Sub-synchronous oscillation; static synchronous compensator; model-free adaptive control; sub-synchronous damping controller; doubly-fed induction generator; SUBSYNCHRONOUS DAMPING CONTROLLER; RESONANCE; GENERATOR; SYSTEM;
D O I：
10.1109/TPWRS.2021.3082951
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：
As the wind-integrated power system is a strongly nonlinear system with uncertain operating conditions that vary with time, it is difficult to guarantee the effectiveness of the conventional model-based sub-synchronous damping control (SSDC). To solve this problem, a model-free adaptive control (MFAC) method for static synchronous compensator (STATCOM) is proposed to realize sub-synchronous oscillation (SSO) mitigation. The method is driven by a limited number of online input/output (I/O) data rather than full technical and operational details of the system. First, the structure of the proposed MFAC is described in detail with control algorithms of all modules. Particularly, a new form of one-step-ahead weighted predictive control algorithm of MFAC for SSO mitigation is proposed. Then, the convergence of tracking error along with the stability of the closed-loop system with the improved MFAC are analyzed. Finally, the performance of the proposed MFAC for STATCOM is demonstrated and compared with that of the conventional SSDC under various operating conditions. Time domain simulation results validate the effectiveness of the proposed MFAC and demonstrate its better adaptability than the conventional SSDC.
引用
收藏
页码：5282 / 5293
页数：12
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