DocumentCode
2986140
Title
Optimal reserve dispatch and security-constrained unit commitment considering volatile wind
Author
Chen, L.Y. ; Li, Z.Y.
Author_Institution
Dept. of Electr. Eng., Zhejiang Univ., Hangzhou, China
fYear
2013
fDate
22-25 Oct. 2013
Firstpage
1
Lastpage
6
Abstract
In this paper, a combined model of optimal reserve dispatch and security-constrained unit commitment (SCUC) considering uncertain wind energy generation output is presented. To simulate the volatility and intermittency of wind energy, scenarios are generated by using Monte Carlo simulation with Latin hypercube sampling technique. After linearization of the nonlinear formulation, the bi-level mixed integer linear programming problem is solved by GAMS/CPLEX. Specifically, the SCUC and reserve dispatch problem is settled in the master problem with the forecasted values of wind energy generation, while the obtained generation dispatch scheme should meet the requirements due to uncertain wind power in the subproblems. Finally, to examine the effectiveness of the proposed model, case studies are conducted on the revised IEEE six-bus three-unit system and New England 39-bus 10-unit system, and five cases with different changing parameters are discussed in detail.
Keywords
Monte Carlo methods; integer programming; linear programming; power generation dispatch; power generation scheduling; sampling methods; wind power plants; GAMS/CPLEX; IEEE six-bus three-unit system; Latin hypercube sampling technique; Monte Carlo simulation; New England 39-bus 10-unit system; SCUC; bilevel mixed integer linear programming problem; energy generation dispatch scheme; nonlinear formulation; optimal reserve dispatch; security constrained unit commitment; uncertain wind power; volatile wind; wind energy generation output; Economics; Fuels; Monte Carlo methods; Power transmission lines; Spinning; Wind forecasting; Wind power generation; Monte Carlo simulation; economic dispatch; mixed-integer linear programming; optimal reserve; scenario reduction; security-constrained unit commitment; uncertain scenarios;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON 2013 - 2013 IEEE Region 10 Conference (31194)
Conference_Location
Xi´an
ISSN
2159-3442
Print_ISBN
978-1-4799-2825-5
Type
conf
DOI
10.1109/TENCON.2013.6718994
Filename
6718994
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