Dynamic Economic Dispatch with Spinning Reserve Constraints Considering Wind Power Integration

被引：0

作者：

Li, Zhigang ^{[1
]}

Wu, Wenchuan ^{[1
]}

Zhang, Boming ^{[1
]}

Wang, Bin ^{[1
]}

Sun, Hongbin ^{[1
]}

机构：

[1] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China

来源：

2013 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING (PES) | 2013年

关键词：

dynamic economic dispatch; Lagrangian relaxation; spinning reserve; wind power; UNIT COMMITMENT;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

To accommodate the integration of wind power, spinning reserve constraints should be involved in real-time generation dispatch. Based on the Lagrangian relaxation framework, a two-stage algorithm is used to solve the dynamic economic dispatch problem with reserve requirements considering wind power generation. An improved dynamic programming method is proposed to solve subproblems involving reserve contribution variables, which is O(n(2)) in computation complexity. Generation scheduling with wind power is simulated on a real power system with the proposed approach. Simulation result shows effectiveness of the proposed strategy in dealing with reserve constraints. Performance comparison with CPLEX illustrates its high computation efficiency, which indicates this method is promising for online use.

引用

页数：5

共 15 条

[1] A hybrid HNN-QP approach for dynamic economic dispatch problem [J].

Abdelaziz, A. Y. ;

Kamh, M. Z. ;

Mekhamer, S. F. ;

Badr, M. A. L. .

ELECTRIC POWER SYSTEMS RESEARCH, 2008, 78 (10) :1784-1788

[2]

Ebrahimi J., IEEE T POWER SYST, V26, P573

[3] Solving nonlinear single-unit commitment problems with ramping constraints [J].

Frangioni, Antonio ;

Gentile, Claudio .

OPERATIONS RESEARCH, 2006, 54 (04) :767-775

[4] Dynamic economic dispatch: Feasible and optimal solutions [J].

Han, XS ;

Gooi, HB ;

Kirschen, DS .

IEEE TRANSACTIONS ON POWER SYSTEMS, 2001, 16 (01) :22-28

[5]

Held M., 1974, Mathematical Programming, V6, P62, DOI 10.1007/BF01580223

[6] Unit commitment by enhanced adaptive Lagrangian relaxation [J].

Ongsakul, W ;

Petcharaks, N .

IEEE TRANSACTIONS ON POWER SYSTEMS, 2004, 19 (01) :620-628

[7] A new particle swarm optimization solution to nonconvex economic dispatch problems [J].

Selvakumar, A. Immanuel ;

Thanushkodi, K. .

IEEE TRANSACTIONS ON POWER SYSTEMS, 2007, 22 (01) :42-51

[8] Unit commitment by an enhanced simulated annealing algorithm [J].

Simopoulos, DN ;

Kavatza, SD ;

Vournas, CD .

IEEE TRANSACTIONS ON POWER SYSTEMS, 2006, 21 (01) :68-76

[9] Unit Commitment for Systems With Significant Wind Penetration [J].

Tuohy, Aidan ;

Meibom, Peter ;

Denny, Eleanor ;

O'Malley, Mark .

IEEE TRANSACTIONS ON POWER SYSTEMS, 2009, 24 (02) :592-601

[10] Impacts of wind power on thermal generation unit commitment and dispatch [J].

Ummels, Bart C. ;

Gibescu, Madeleine ;

Pelgrum, Engbert ;

Kling, Wil L. ;

Brand, Arno J. .

IEEE TRANSACTIONS ON ENERGY CONVERSION, 2007, 22 (01) :44-51

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