Title :
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
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;
Conference_Titel :
Innovative Smart Grid Technologies - Asia (ISGT Asia), 2012 IEEE
Conference_Location :
Tianjin
Print_ISBN :
978-1-4673-1221-9
DOI :
10.1109/ISGT-Asia.2012.6303223
