DocumentCode
3218214
Title
A nonlinear model for the long-term hydro-thermal generation scheduling problem over multiple areas with transmission constraints
Author
Martins, Leonardo S A ; Soares, Secundino ; Azevedo, Anibal T.
Author_Institution
Sch. of Electr. & Comput. Eng., Univ. of Campinas (UNICAMP), Campinas
fYear
2009
fDate
15-18 March 2009
Firstpage
1
Lastpage
7
Abstract
This paper presents a nonlinear model with individual representation of plants for the centralized long-term hydrothermal scheduling problem over multiple areas. In addition to common aspects of long-term scheduling, this model takes transmission constraints into account. The ability to optimize hydropower exchange among multiple areas is important because it enables further minimization of complementary thermal generation costs. Also, by considering transmission constraints for long-term scheduling, a more precise coupling with shorter horizon schedules can be expected. This is an important characteristic from both operational and economic viewpoints. The proposed model is solved by a sequential quadratic programming approach in the form of a prototype system for different case studies. An analysis of the benefits provided by the model is also presented.
Keywords
hydroelectric power stations; power generation economics; power generation scheduling; quadratic programming; thermal power stations; complementary thermal generation costs. minimization; hydropower exchange; long-term hydro-thermal generation scheduling problem; nonlinear model; sequential quadratic programming approach; transmission constraints; Cost function; Couplings; Hydroelectric power generation; Linear programming; Power generation; Power generation economics; Power system interconnection; Power system modeling; Power transmission; Stochastic systems; Hydro-thermal power systems; long-term scheduling; nonlinear optimization; power transmission;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Systems Conference and Exposition, 2009. PSCE '09. IEEE/PES
Conference_Location
Seattle, WA
Print_ISBN
978-1-4244-3810-5
Electronic_ISBN
978-1-4244-3811-2
Type
conf
DOI
10.1109/PSCE.2009.4840175
Filename
4840175
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