Title :
Data sensitivities for variable renewable energy curtailment estimation
Author :
Dillon, Jeremy ; O´Malley, Mark
Author_Institution :
Electr. Res. Centre, Univ. Coll. Dublin, Dublin, Ireland
Abstract :
As the penetration of variable renewable production increases on systems, the potential need to curtail the output of variable renewables to ensure system integrity increases. The need for these curtailments is primarily due to three factors: firstly, the need for system balance, secondly the need for sufficient system services such as inertia and lastly, as a result of congestion arising from limitations of the transmission network. This paper presents a methodology for modeling these types of curtailments in production cost studies. The methodology is applied to the power system of Ireland and examines the sensitivity of curtailment estimates to spatial and temporal wind data.
Keywords :
costing; power generation economics; renewable energy sources; wind power plants; Ireland; curtailment estimate sensitivity; curtailment modeling; data sensitivities; power system; production cost studies; spatial wind data; system balance; system integrity; system services; temporal wind data; transmission network; variable renewable energy curtailment estimation; variable renewable production penetration; Power system stability; Production; Stability analysis; Time series analysis; Wind forecasting; Wind power generation; security constrained unit commitment; variable renewables; wind power;
Conference_Titel :
PES General Meeting | Conference & Exposition, 2014 IEEE
Conference_Location :
National Harbor, MD
DOI :
10.1109/PESGM.2014.6939480