Robust Control for Microgrid Frequency Deviation Reduction With Attached Storage System

被引:115
作者
Han, Yi [1 ]
Young, Peter Michael [1 ]
Jain, Abhishek [1 ]
Zimmerle, Daniel [2 ]
机构
[1] Colorado State Univ, Dept Elect & Comp Engn, Ft Collins, CO 80523 USA
[2] Colorado State Univ, Dept Engn Mech, Ft Collins, CO 80523 USA
关键词
Energy storage; microgrid; power systems; smart grids;
D O I
10.1109/TSG.2014.2320984
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
In this paper, we propose a robust control strategy for reducing system frequency deviation, caused by load fluctuation and renewable sources, in a smart microgrid system with attached storage. Frequency deviations are associated with renewable energy sources because of their inherent variability. In this work, we consider a microgrid where fossil fuel generators and renewable energy sources are combined with a reasonably sized, fast acting battery-based storage system. We develop robust control strategies for frequency deviation reduction, despite the presence of significant (model) uncertainties. The advantages of our approach are illustrated by comparing system frequency deviation between the proposed system (designed via mu synthesis) and the reference system which uses governors and conventional PID control to cope with load and renewable energy source transients. All the simulations are conducted in the Matlab (TM) and Simulink (TM) environment.
引用
收藏
页码:557 / 565
页数:9
相关论文
共 22 条
[1]   MIMO robust control for HVAC systems [J].
Anderson, Michael ;
Buehner, Michael ;
Young, Peter ;
Hittle, Douglas ;
Anderson, Charles ;
Tu, Jilin ;
Hodgson, David .
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2008, 16 (03) :475-483
[2]  
[Anonymous], P 9 INT WORKSH LARG
[3]  
[Anonymous], 2008, SMART GRID INTR
[4]  
[Anonymous], 1994, P C REC SOUTHC ORL
[5]  
Bevrani H., 1999, Proceedings of the 1999 IEEE International Conference on Control Applications (Cat. No.99CH36328), P616, DOI 10.1109/CCA.1999.806723
[6]  
Bevrani H, 2009, POWER ELECTRON POWER, P1, DOI 10.1007/978-0-387-84878-5_1
[7]  
Bo Dong, 2011, 2011 4th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT 2011), P1671, DOI 10.1109/DRPT.2011.5994166
[8]   Load-frequency control: a GA-based multi-agent reinforcement learning [J].
Daneshfar, F. ;
Bevrani, H. .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2010, 4 (01) :13-26
[9]  
Dhanalakshmi R., 2011, 2011 International Conference on Green Technology and Environmental Conservation (GTEC 2011), P309, DOI 10.1109/GTEC.2011.6167685
[10]  
Doyle J.C., 1992, Feedback control theory