Spinning reserve computation for a power system with WPG using Point-Estimate Methods

Author

Achury, Nicolas ; Rios, Mario A.

Author_Institution

Dept. of Electr. Eng. & Electron., Univ. de los Andes, Bogota, Colombia

fYear

2015

fDate

June 29 2015-July 2 2015

Firstpage

1

Lastpage

6

Abstract

This paper proposes a methodology for computing the spinning reserve spinning reserve for a power system with a high penetration of wind power generation. The methodology uses a Point Estimate Method in order to calculate a Unit Commitment with several stochastic variables, including demand and wind forecast for a given day. Additionally, the model considers the expected energy not served calculated from a Monte Carlo simulation. The methodology was tested on the IEEE RTS 96, where a replacement of 600 MW of conventional generation for 600 MW of wind power generation was made. The results show a significant increase on the expected value of the spinning reserve when wind power generation is integrated to the system. In addition, it is possible to estimate all the descriptive statistics for the spinning reserve.

Keywords

Monte Carlo methods; demand forecasting; power generation dispatch; power generation economics; power generation scheduling; stochastic processes; wind power; IEEE RTS 96; Monte Carlo simulation; WPG; demand forecast; point estimation method; power 600 MW; power system; spinning reserve computation; stochastic variables; unit commitment; wind forecast; wind power generation high penetration; Mathematical model; Power systems; Random variables; Wind forecasting; Wind power generation; Wind speed; Wind turbines; Point Estimate Method; Power Wind Generation; Spinning Reserve; Stochastic; Unit Commitment;

fLanguage

English

Publisher

ieee

Conference_Titel

PowerTech, 2015 IEEE Eindhoven

Conference_Location

Eindhoven

Type

conf

DOI

10.1109/PTC.2015.7232237

Filename

7232237