Title :
Risk constrained unit commitment considering uncertainty of wind power and load
Author :
Li, Zhi ; Han, Xueshan
Author_Institution :
Sch. of Electr. Eng., Shandong Univ., Jinan, China
Abstract :
Because of the great stochastic of wind power, it is difficult to forecast it accurately and the forecasting result can not be applied to unit commitment directly. A dispersed probability distribution model is built based on statistics of wind power forecasting error, the cumulated outage capacity table of the units is combined with this model and fitted by Gaussian function. Unit commitment risk constraint from Gaussian function fitting is introduced in the Lagrangian relaxation to handle the unit commitment with wind power. Finally, the detailed analysis of a 26-units test system gives the impact on results of unit commitment.
Keywords :
Gaussian processes; power generation dispatch; risk analysis; statistical distributions; wind power; Gaussian function fitting; Lagrangian relaxation; cumulated outage capacity table; forecasting error; probability distribution model; unit commitment risk constraint; wind load; wind power; Capacity planning; Error analysis; Power system modeling; Predictive models; Probability distribution; Statistical distributions; Stochastic processes; Uncertainty; Wind energy; Wind forecasting; curve fitting; forecasting errors; unit commitment; unit commitment risk; wind power;
Conference_Titel :
Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4934-7
DOI :
10.1109/SUPERGEN.2009.5348159
