DocumentCode
3327315
Title
A novel day-ahead generation scheduling and spinning reserve determination model for power grid containing wind power
Author
Jinquan Zhao ; Jie Tang ; Weihua Luo ; Jun Zhao
Author_Institution
Coll. of Energy & Electr. Eng., Hohai Univ., Nanjing, China
fYear
2013
fDate
23-24 Dec. 2013
Firstpage
1081
Lastpage
1087
Abstract
A novel day-ahead generation scheduling and spinning reserve determination model was proposed for power grid with large-scale wind power. The load shedding losses and the wind curtailment losses were estimated by using the probability density function. And they are taken as two operation risk costs integrated into the generation cost objective function. While fully meeting the unit ramp rate constraints and the network security constraints, the day-ahead generation schedule of conventional units and the up/down spinning reserve capacities were solved simultaneously. The priority list method and the minimum marginal cost based economic dispatch algorithm are used to solve the proposed model. Numerical results of modified IEEE reliability test system show that the proposed model and method are effective.
Keywords
load shedding; power generation dispatch; power generation economics; power generation scheduling; power grids; wind power plants; day-ahead generation scheduling; generation cost objective function; large-scale wind power; load shedding losses; minimum marginal cost based economic dispatch algorithm; network security constraints; power grid; priority list method; probability density function; spinning reserve determination model; wind curtailment losses; Forecasting; Linear programming; Load forecasting; Load modeling; Spinning; Wind power generation; Wind speed; load shedding loss; reserve allocation; spinning reserve; wind curtailment loss; wind power accommodation;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation and Measurement, Sensor Network and Automation (IMSNA), 2013 2nd International Symposium on
Conference_Location
Toronto, ON
Type
conf
DOI
10.1109/IMSNA.2013.6743469
Filename
6743469
Link To Document