Adequacy evaluation of wind farm integration in power generation and transmission systems

Author

Zhang, Shuo ; Li, Gengyin ; Zhou, Ming

Author_Institution

Key Lab. of Power Syst. Protection & Dynamic Security Monitoring & Control under Minist. of Educ., North China Electr. Power Univ., Beijing, China

fYear

2009

fDate

6-7 April 2009

Firstpage

1

Lastpage

7

Abstract

The integration of a large number of wind farms will have a significant impact on the reliability performance of the electric generation and transmission systems. In this paper, an adequacy evaluation model of wind power integration in power system based on the sequential Monte-Carlo simulation approach is presented. This model is applied to simulate power system including wind power generation. Depth first search algorithm is used to find out each connected block of network. In the section of active power correction and dispatching, a reduction of load minimum as goal function linear programming model is presented. Corresponding software is programmed according to the Matlab7. The calculations to IEEE-RTS79 test system which wind farm model added is carried out. The reliability index from calculated examples show the value of wind power, and will provide the valuable reference for wind farm operation and planning.

Keywords

Monte Carlo methods; linear programming; power generation reliability; power transmission reliability; search problems; wind power plants; IEEE-RTS79 test system; Matlab7; active power correction; adequacy evaluation model; depth first search algorithm; electric generation; linear programming model; load minimum; power dispatching; power system; reliability index; reliability performance; sequential Monte-Carlo simulation approach; transmission systems; wind farm integration; wind farm model; wind power generation; wind power integration; Dispatching; Linear programming; Mathematical model; Power system modeling; Power system reliability; Power system simulation; Wind energy; Wind energy generation; Wind farms; Wind power generation; Monte Carlo methods; reliability modeling; sequence estimation; wind power generation;

fLanguage

English

Publisher

ieee

Conference_Titel

Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4244-4934-7

Type

conf

DOI

10.1109/SUPERGEN.2009.5348116

Filename

5348116