Enhancing the Dispatchability of Variable Wind Generation by Coordination With Pumped-Storage Hydro Units in Stochastic Power Systems

被引:144
作者
Khodayar, Mohammad E. [1 ]
Shahidehpour, Mohammad [1 ]
Wu, Lei [2 ]
机构
[1] IIT, Elect & Comp Engn Dept, Chicago, IL 60616 USA
[2] Clarkson Univ, Elect & Comp Engn Dept, Potsdam, NY 13699 USA
关键词
Hourly coordination; pumped-storage hydro units; stochastic security-constrained unit commitment; wind energy; COMMITMENT;
D O I
10.1109/TPWRS.2013.2242099
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
The ever-increasing penetration of variable wind energy in power systems affects the hourly dispatch of thermal power generation in electricity markets. The variability of wind energy, which makes the wind energy non-dispatchable and difficult to control, could bring significant challenges to power system operators. The hourly coordination of wind power generation units with pumped-storage hydro (PS) generation could relieve the variability of wind energy and increase its dispatchability. The wind-PS coordination is based on the application of stochastic security-constrained unit commitment (stochastic SCUC). In this study, the coordinated hourly bus-level scheduling of wind-PS is compared with the coordinated system-level operation strategies in the day-ahead scheduling of power systems.
引用
收藏
页码:2808 / 2818
页数:11
相关论文
共 21 条
[1]  
Bo R, 2012, P POW SYST C MAY, P1
[2]  
Boone A., 2005, THESIS KTH STOCKHOLM
[3]  
California ISO, INT REN RES TECHN AP
[4]   Scenario reduction in stochastic programming -: An approach using probability metrics [J].
Dupacová, J ;
Gröwe-Kuska, N ;
Römisch, W .
MATHEMATICAL PROGRAMMING, 2003, 95 (03) :493-511
[5]   Security-constrained unit commitment with AC constraints [J].
Fu, Y ;
Shahidehpour, M ;
Li, ZY .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2005, 20 (03) :1538-1550
[6]   Energy and reserve market designs with explicit consideration to lost opportunity costs [J].
Gan, DQ ;
Litvinov, E .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2003, 18 (01) :53-59
[7]  
Glasserman P., 2003, Monte Carlo Method in Financial Engineering
[8]   OPTIMIZATION-BASED SCHEDULING OF HYDROTHERMAL POWER-SYSTEMS WITH PUMPED-STORAGE UNITS [J].
GUAN, XH ;
LUH, PB ;
YANG, HZ ;
ROGAN, P .
IEEE TRANSACTIONS ON POWER SYSTEMS, 1994, 9 (02) :1023-1031
[9]  
Hodge B, 2012, P 2012 WORLD REN EN
[10]   STOCHASTIC HOPFIELD ARTIFICIAL NEURAL-NETWORK FOR ELECTRIC-POWER PRODUCTION COSTING [J].
KASANGAKI, VBA ;
SENDAULA, HM ;
BISWAS, SK .
IEEE TRANSACTIONS ON POWER SYSTEMS, 1995, 10 (03) :1525-1533