Title :
Reactive power optimization control of wind farms with fixed-speed wind turbine generators
Author :
Su, Xunwen ; Mi, Zengqiang ; Liu, Xingjie ; Wu, Tao
Author_Institution :
Electr. Eng. Dept., North China Electr. Power Univ., Baoding
Abstract :
As the level of wind power penetration into the grid increases, reactive power control will become more critical for wind farms with fixed-speed wind turbine generators. Capacitor banks are used for reactive power compensation in wind power plant (WPP). This paper focuses on our effort to develop a method to determine the number, sizes and control strategy of capacitor banks. To solve this problem, the number and control strategy of capacitor banks is determined by the characteristics of wind turbine, local wind resources and power grid. Then the size of capacitor banks was determined by genetic algorithms (GA). Objective of optimization is to reduce the switching frequency of compensating capacitor banks installed at its terminals, maintain an acceptable voltages profile and minimize active losses of a power system. The proposed method is carried out in a modified IEEE 39-bus system. According to simulation results, the grouping and control strategy of capacitor banks is feasible and effective for reactive power optimization control of wind power plants.
Keywords :
capacitor storage; genetic algorithms; power generation control; power grids; reactive power control; turbogenerators; wind power plants; wind turbines; IEEE 39-bus system; capacitor bank control strategy; fixed-speed wind turbine generators; genetic algorithms; power grid; power system losses; reactive power optimization control; switching frequency; wind farms; wind power plant; Capacitors; Mesh generation; Power generation; Power system simulation; Reactive power; Reactive power control; Wind energy; Wind energy generation; Wind farms; Wind turbines; Capacitor Banks; Fixed-Speed Wind Turbine Generators; Genetic Algorithms; Reactive Power Control; Wind Farm;
Conference_Titel :
Sustainable Energy Technologies, 2008. ICSET 2008. IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1887-9
Electronic_ISBN :
978-1-4244-1888-6
DOI :
10.1109/ICSET.2008.4747148