DocumentCode
3385624
Title
A Multi-Scenario Model for Mid-Long Term Hydro-Thermal Optimal Scheduling
Author
Ge Xiao-lin ; Zhang Li-zi ; Shu Jun ; Fu Ning-ning
Author_Institution
Sch. of Electr. & Electron. Eng., North China Electr. Power Univ., Beijing, China
fYear
2012
fDate
27-29 March 2012
Firstpage
1
Lastpage
4
Abstract
This paper has proposed a multi-scenario model of hydro-thermal optimal operation. On the premise of reliable supply of power and energy assurance, the objective of minimizing energy consumption is designed. Hydro-thermal optimal scheduling is formulated by the optimization of generation, maintenance plans and the water level. According to different scenarios of runoff, scenario tree model is established, while ensuring that optimization variables of all the forecast scenarios can satisfy the various constraints. For the complexity of the established model, based on integer algebraic model techniques, auxiliary state variables and associated constraints are introduced, and then the model is converted to a linear mixed integer programming problem. With the help of advanced GAMS model software, simulation system is established. Finally, using CPLEX solver, the scheme of hydro-thermal plants optimal operation is formatted. By the test and analysis of the practical examples including 2 thermal power units, 6 hydropower units, 17 maintenance programs, results demonstrate the rationality of the model and the availability of the method.
Keywords
algebra; digital simulation; hydrothermal power systems; integer programming; linear programming; minimisation; power engineering computing; power generation reliability; power generation scheduling; CPLEX solver; advanced GAMS model software; auxiliary state variables; energy assurance; energy consumption minimization; forecast scenarios; hydropower units; hydrothermal plant optimal operation; integer algebraic model techniques; linear mixed integer programming problem; maintenance programs; midlong term hydrothermal optimal scheduling; multiscenario model; optimization variables; power reliable supply; scenario tree model; thermal power units; water level; Hydroelectric power generation; Maintenance engineering; Optimal scheduling; Power systems; Reservoirs;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
Conference_Location
Shanghai
ISSN
2157-4839
Print_ISBN
978-1-4577-0545-8
Type
conf
DOI
10.1109/APPEEC.2012.6306995
Filename
6306995
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