TITLE:
Rolling Generation Dispatch Based on Ultra-short-term Wind Power Forecast
AUTHORS:
Qiushi Xu, Changhong Deng
KEYWORDS:
Wind Power Generation; Power System; Rolling Generation Dispatch; Ultra-short-term Forecast; Markov Chain Model; Prime-dual Affine Scaling Interior Point Method
JOURNAL NAME:
Energy and Power Engineering,
Vol.5 No.4B,
October
30,
2013
ABSTRACT: The power systems economic and safety operation
considering large-scale wind power penetration are now facing great challenges, which
are based on reliable power supply and predictable load demands in the past. A
rolling generation dispatch model based on ultra-short-term wind power forecast
was proposed. In generation dispatch process, the model rolling correct
not only the conventional units power output but also the power from wind farm,
simultaneously. Second order Markov chain model was utilized to modify wind
power prediction error state (WPPES) and update forecast results of wind
power over the remaining dispatch periods. The prime-dual
affine scaling interior point method was used to solve the proposed model that
taken into account the constraints of multi-periods power balance, unit output
adjustment, up spinning reserve and down spinning reserve.