Hierarchical Active Power Control of DFIG-Based Wind Farm With Distributed Energy Storage Systems Based on ADMM

被引:47
作者
Huang, Sheng [1 ]
Wu, Qiuwei [1 ]
Guo, Yifei [2 ]
Rong, Fei [3 ]
机构
[1] Tech Univ Denmark DTU, Dept Elect Engn, Ctr Elect Power & Energy CEE, DK-2800 Lyngby, Denmark
[2] Shandong Univ, Minist Educ, Key Lab Power Syst Intelligent Dispatch & Control, Jinan 250061, Peoples R China
[3] Hunan Univ, Coll Elect & Informat Engn, Dept Elect Engn, Changsha 410082, Hunan, Peoples R China
关键词
Wind farms; Fatigue; Doubly fed induction generators; Convex functions; Power control; Wind power generation; Optimization; ADMM; DFIG; ESS; fatigue loads; hierarchical; MPC; wind farm; OPERATION; MANAGEMENT; TURBINES;
D O I
10.1109/TSTE.2019.2929820
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A hierarchical active power control (HAPC) scheme based on the alternating direction method of multipliers (ADMM) is proposed for doubly-fed induction generator (DFIG)-based wind farms with distributed energy storage systems (ESSs). The wind farm controller optimizes the active power references for DFIG-based wind turbines (WTs) and ESSs inside the wind farm, and the aim is to minimize fatigue loads by minimizing variations of thrust force and shaft torque of WTs while tracking the dispatch command from the transmission system operator (TSO). Moreover, ESSs management is considered in the central controller and WT controllers. The solution method based on the ADMM with fast convergence is used to solve the model predictive control (MPC) optimization problem in a hierarchical manner without loss of optimality. With the ADMM, the control task is distributed to WT controllers, and the computation burden of the central wind farm controller can be efficiently reduced. A wind farm with 30 DFIG WTs was used to validate the control performance of the proposed HAPC scheme.
引用
收藏
页码:1528 / 1538
页数:11
相关论文
共 35 条
[1]  
[Anonymous], 2002, Predictive Control With Constraints
[2]  
Berglind JJB, 2015, P AMER CONTR CONF, P3721, DOI 10.1109/ACC.2015.7171908
[3]   Adaptive fractional integral terminal sliding mode power control of UPFC in DFIG wind farm penetrated multimachine power system [J].
Dash P.K. ;
Patnaik R.K. ;
Mishra S.P. .
Protection and Control of Modern Power Systems, 2018, 3 (01)
[4]   A review of energy storage technologies for wind power applications [J].
Diaz-Gonzalez, Francisco ;
Sumper, Andreas ;
Gomis-Bellmunt, Oriol ;
Villafafila-Robles, Roberto .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2012, 16 (04) :2154-2171
[5]   A novel optimizing power control strategy for centralized wind farm control system [J].
Ebrahimi, F. M. ;
Khayatiyan, A. ;
Farjah, E. .
RENEWABLE ENERGY, 2016, 86 :399-408
[6]   Distributed Optimal Power Flow Using ADMM [J].
Erseghe, Tomaso .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2014, 29 (05) :2370-2380
[7]  
Gao F, 2014, IEEE ENER CONV, P2567, DOI 10.1109/ECCE.2014.6953744
[8]   Energy storage system-based power control for grid-connected wind power farm [J].
Ge, Baoming ;
Wang, Wenliang ;
Bi, Daqiang ;
Rogers, Craig B. ;
Peng, Fang Zheng ;
de Almeida, Anibal T. ;
Abu-Rub, Haitham .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2013, 44 (01) :115-122
[9]  
Grunnet J.D., 2010, P EUR WIND EN C EXH, P20
[10]   Decentralized Coordinated Voltage Control for VSC-HVDC Connected Wind Farms Based on ADMM [J].
Guo, Yifei ;
Gao, Houlei ;
Xing, Hao ;
Wu, Qiuwei ;
Lin, Zhongwei .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2019, 10 (02) :800-810