Title :
A wind forecast error cost included OPF model and its fast algorithm
Author :
Yingyun Sun ; Yue Guo ; Rui Mao ; Malik, Sarmad M.
Author_Institution :
State Key Lab. of Alternative Electr. Power Syst. with Renewable Energy Resources, North China Electr. Power Univ., Baoding, China
Abstract :
The power output uncertainty brought by large scale concentration and the remote access of wind power causes great challenges to power grid scheduling and operation. To deal with such an uncertainty problem, the paper proposes a concept of wind power forecast error cost and establishes an OPF model which takes the cost of wind power forecast error into account (WFECI-OPF). To reduce calculation burden of stochastic simulation, the paper proposes a rapid approximate algorithm. Simulation examples based on IEEE 30-bus system validate that the proposed method has high accuracy and fast calculation speed, and it can meet the requirements of engineering applications.
Keywords :
IEEE standards; power generation scheduling; power grids; wind power plants; IEEE 30-bus system; OPF model; fast algorithm; large scale concentration; power grid operation; power grid scheduling; power output uncertainty; rapid approximate algorithm; stochastic simulation; wind forecast error cost; wind power; Approximation algorithms; Load flow; Predictive models; Uncertainty; Wind forecasting; Wind power generation; Optimal power flow; forecast error cost; wind power integration;
Conference_Titel :
PES General Meeting | Conference & Exposition, 2014 IEEE
Conference_Location :
National Harbor, MD
DOI :
10.1109/PESGM.2014.6938928
