Wind farm penetration limit calculation based on evolutionary programming algorithm

Author

Wu, Qiubing ; Zhou, Ming ; Sun, Liying ; Liu, Junwei

Author_Institution

State Key Lab. of Alternate Electr. Power Syst. with Renewable Energy Sources, North China Electr. Power Univ., Beijing, China

fYear

2012

fDate

21-24 May 2012

Firstpage

1

Lastpage

5

Abstract

Wind farm penetration limit calculation is an important issue in the planning and operation of power system with wind power. Here, the Chance Constrained Programming (CCP) model for the wind power penetration limit calculation is established, stochastic simulation is used to expresses the constraints by means of probability. In order to reduce the difficulty of the problem solving, a method considering the transmission lines capability and voltage security constraints in two-step approach is introduced. This adapts the calculation speed of the improved EP(Evolutionary Programming Algorithm). Based on evolutionary programming algorithm and Monte Carlo simulation, a programming in MATLAB is developed. The results on IEEE30 system demonstrate the advantages of the proposed approach.

Keywords

Monte Carlo methods; constraint handling; evolutionary computation; power generation planning; power transmission lines; wind power plants; CCP model; IEEE30 system; MATLAB programming; Monte Carlo simulation; chance constrained programming model; evolutionary programming algorithm; power system operation; power system planning; problem solving; stochastic simulation; transmission lines capability; voltage security constraints; wind farm penetration limit calculation; Biological cells; Fluctuations; Power systems; Programming; Stochastic processes; Wind farms; Wind power generation; evolutionary programming algorithm; spinning reserve; stochastic simulation; wind power penetration limit;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovative Smart Grid Technologies - Asia (ISGT Asia), 2012 IEEE

Conference_Location

Tianjin

Print_ISBN

978-1-4673-1221-9

Type

conf

DOI

10.1109/ISGT-Asia.2012.6303223

Filename

6303223