Multi-objective wind-thermal unit commitment considering wind power forecasting error

Author

Jie Yu ; Ming Hu

Author_Institution

Electr. Eng. Sch., Southeast Univ., Nanjing, China

fYear

2012

fDate

22-26 July 2012

Firstpage

1

Lastpage

8

Abstract

In this paper, economic and environmental objectives are investigated in the unit commitment (UC) problem. Considering forecasting error of wind power, multi-objective stochastic model is formulated as the form of expected values, occurrence probabilities and confidence levels. While deterministic approaches use a point forecast of wind power output, forecasting error uncertainty in the stochastic UC alternative is captured by a confidence interval. The numerical simulation illustrates that the suitable confidence level in operating reserve constraints is related to error distribution of wind power forecast. Moreover, the potential risks of spinning reserve shortage show clearly lower on account of suitable confidence level.

Keywords

environmental factors; load forecasting; numerical analysis; power generation dispatch; power generation economics; power generation scheduling; stochastic processes; thermal power stations; wind power plants; UC problem; confidence interval; confidence levels; deterministic approaches; economic objectives; environmental objectives; error distribution; expected values; multiobjective wind-thermal unit commitment; numerical simulation; occurrence probabilities; operating reserve constraints; point forecast; spinning reserve; stochastic model; wind power forecasting error; Forecasting; Linear programming; Particle swarm optimization; Stochastic processes; Uncertainty; Wind forecasting; Wind power generation; forecasting error; multi-objective optimization; operating reserve; wind-thermal unit commitment;

fLanguage

English

Publisher

ieee

Conference_Titel

Power and Energy Society General Meeting, 2012 IEEE

Conference_Location

San Diego, CA

ISSN

1944-9925

Print_ISBN

978-1-4673-2727-5

Electronic_ISBN

1944-9925

Type

conf

DOI

10.1109/PESGM.2012.6343920

Filename

6343920