Title :
LMP estimation considering the uncertainty of wind power
Author :
Dai, Yuanyu ; Huang, Jie ; Meng, Ke ; Xue, Yusheng ; Dong, Z.Y. ; Ledwich, Gerard
Author_Institution :
State Grid Electr. Power Res. Inst., Nanjing Univ. of Sci. & Technol., Nanjing, China
Abstract :
One of the impediments to large-scale use of wind generation within power system is its variable and uncertain real-time availability. Due to the low marginal cost of wind power, its output will change the merit order of power markets and influence the Locational Marginal Price (LMP). For the large scale of wind power, LMP calculation can´t ignore the essential variable and uncertain nature of wind power. This paper proposes an algorithm to estimate LMP. The estimation result of conventional Monte Carlo simulation is taken as benchmark to examine the accuracy. Case study is conducted on a simplified SE Australian power system, and the simulation results show the feasibility of proposed method.
Keywords :
Monte Carlo methods; power markets; wind power; LMP estimation; Monte Carlo simulation; locational marginal price; power markets; wind power; Educational institutions; Estimation; Monte Carlo methods; Power systems; Uncertainty; Wind power generation; Wind speed; Locational Marginal Price; Probabilistic Optimal Power Flow; Uncertainty; Wind Power;
Conference_Titel :
Universities Power Engineering Conference (AUPEC), 2011 21st Australasian
Conference_Location :
Brisbane, QLD
Print_ISBN :
978-1-4577-1793-2