Title :
Reactive Power Optimization in Smart Grid With Wind Power Generator
Author :
Wei Xiwen ; Qiu Xiaoyan ; Xu Jian ; Li Xingyuan
Author_Institution :
Sch. of Electr. Eng. & Inf., Sichuan Univ., Chengdu, China
Abstract :
With the acceleration of smart grid construction, Distributed Generation (DG) integration technology needs to be developed urgently. Reactive power optimization including windfarm is studied, and the variability and intermittency of wind speed is considered in this paper. The multi-objective reactive power optimization model including network loss, average deviation of voltage and stability margin of static voltage is established. The traditional genetic arithmetic is improved, and logarithmic barrier function in interior point method is introduced into the fitness function. So premature and partial convergence is avoided and the problem that some voltage values easily approach the upper limit in the traditional reactive power optimization is solved. The effectiveness of the proposed method is demonstrated on IEEE-57 bus system with wind farm.
Keywords :
distributed power generation; genetic algorithms; reactive power; smart power grids; wind power plants; IEEE-57 bus system; distributed power generation; fitness function; genetic arithmetic; interior point method; logarithmic barrier function; multi-objective reactive power optimization model; network loss; smart grid; stability margin; wind power generator; wind speed; Acceleration; Distributed control; Mesh generation; Power generation; Reactive power; Smart grids; Voltage; Wind energy; Wind energy generation; Wind speed;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4812-8
Electronic_ISBN :
978-1-4244-4813-5
DOI :
10.1109/APPEEC.2010.5448321