DocumentCode
2535358
Title
Stochastic security for operations planning with significant wind power generation
Author
Bouffard, Francois ; Galiana, Francisco D.
Author_Institution
Sch. of Electr. & Electron. Eng., Manchester Univ., Manchester
fYear
2008
fDate
20-24 July 2008
Firstpage
1
Lastpage
11
Abstract
In their attempt to cut down on greenhouse gas emissions from electricity generation, several countries are committed to install wind power generation up to and beyond the 10-20% penetration mark. However, the large-scale integration of wind power represents a challenge for power system operations planning because wind power (i) cannot be dispatched in the classical sense; and, (ii) its output varies as weather conditions change. This warrants the investigation of alternative short-term power system operations planning methods capable of better coping with the nature of wind generation while maintaining or even improving the current reliability and economic performance of power systems. To this end, this paper formulates a short-term forward electricity market-clearing problem with stochastic security capable of accounting for non-dispatchable and variable wind power generation sources. The principal benefit of this stochastic operation planning approach is that, when compared to a deterministic worst-case scenario planning philosophy, it allows greater wind power penetration without sacrificing security.
Keywords
power markets; power system economics; power system planning; power system security; wind power plants; deterministic worst-case scenario planning philosophy; power system operations planning; power systems economic performance; power systems reliability; short-term forward electricity market-clearing problem; stochastic security planning approach; wind power generation; Global warming; Large scale integration; Power generation; Power system planning; Power system reliability; Power system security; Stochastic processes; Wind energy; Wind energy generation; Wind power generation; Electricity markets; expected load not served; level of penetration; reserve; stochastic security; uncertainty; unit commitment; wind power generation;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE
Conference_Location
Pittsburgh, PA
ISSN
1932-5517
Print_ISBN
978-1-4244-1905-0
Electronic_ISBN
1932-5517
Type
conf
DOI
10.1109/PES.2008.4596307
Filename
4596307
Link To Document