Title :
Planning wind power considering system reliability in peak demand time
Author_Institution :
Energy Center, Purdue Univ., West Lafayette, IN
Abstract :
This paper describes an integrated power capacity planing model that considers the contribution of wind power to system reliability in peak demand periods. Seasonal expected energy production of wind power is used to account for the reliability contribution of wind power. In order to minimize expansion cost over a long term planning horizon, primary alternatives of power expansion are included. Mixed integer programming (MIP) is used in the modeling. Case studies are presented to show that a region with lower wind speed in peak time requires a significant amount of peaking generators to compensate for low wind power availability in order to meet the required reserve.
Keywords :
integer programming; power generation planning; power generation reliability; wind power plants; integrated power capacity planning model; mixed integer programming; peak demand time; system reliability; wind power energy production; wind power planning; Costs; Linear programming; Planing; Power generation; Power system modeling; Power system planning; Power system reliability; Production; Wind energy; Wind speed; CO2; MIP; Power; cost minimization; reliability; reserve; wind;
Conference_Titel :
Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE
Conference_Location :
Pittsburgh, PA
Print_ISBN :
978-1-4244-1905-0
Electronic_ISBN :
1932-5517
DOI :
10.1109/PES.2008.4596158