Title :
Stochastic operation security with demand response and renewable energy sources
Author :
Shahidehpour, M. ; Hongyu Wu
Author_Institution :
Electr. & Comput. Eng. Dept., Illinois Inst. of Technol., Chicago, IL, USA
Abstract :
This paper proposes a day-ahead scheduling model which incorporates demand response (DR), intermittent renewable energy sources, load forecast errors, and random outages of generating units and transmission lines. Economic and emergency DR options and operating characteristics of loads such as bidding curves, DR reserves, and physical load constraints are taken into account. Numerical results are offered as part of the presentation.
Keywords :
load forecasting; power markets; power system security; power transmission lines; renewable energy sources; scheduling; stochastic processes; DR reserves; bidding curves; day-ahead scheduling model; demand response; generating units random outages; load forecast errors; physical load constraints; renewable energy sources; stochastic operation security; transmission lines; Awards activities; Economics; Load management; Load modeling; Power transmission lines; Renewable energy resources; Stochastic processes;
Conference_Titel :
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-2727-5
Electronic_ISBN :
1944-9925
DOI :
10.1109/PESGM.2012.6345752