DocumentCode :
2493761
Title :
Research on optimization of wind and PV hybrid power systems
Author :
Li, Mingliang ; Wang, Cong
Author_Institution :
Sch. of Mech. Electron.&Inf. Eng., China Univ. of Min. & Technol., Beijing
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
6429
Lastpage :
6432
Abstract :
To effectively and reliably utilize renewable resources then achieve the wind/PV (photovoltaic) hybrid generator, a new type wind/PV hybrid generator was designed, which adopts the auto-interference controller designed by utilizing the nonlinear transform of aerodynamic force to capture wind to the highest degree, and also other technologies as brushless double-fed wind generator, extremum control on solar inverter. Considering the multi-input and multi-output of the distributed hybrid power system, using the theory of linear relationship between the hierarchical fuzzy controllerpsilas totalities and variables, here give the hierarchical fuzzy controller algorithm to control the loading and unloading of wind generators, solar cells and the grid. The experiments show that: on the premise of utilizing renewable resources to the greatest extent, system can realize the equilibrium between the supply and demand of the electric energy automatically according to its load.
Keywords :
aerodynamics; brushless machines; control system synthesis; electric generators; fuzzy control; hierarchical systems; hybrid power systems; load regulation; photovoltaic power systems; power system control; solar cells; transforms; wind power plants; PV hybrid power systems; aerodynamic force nonlinear transform; auto-interference controller; brushless double-fed wind generator; distributed hybrid power system; hierarchical fuzzy controller algorithm; renewable resources; solar cells; solar inverter control; wind power systems; wind-PV hybrid generator; Automatic generation control; Control systems; Electric variables control; Force control; Fuzzy control; Fuzzy systems; Hybrid power systems; Power system reliability; Solar power generation; Wind energy generation; Fuzzy control; Hybrid power systems; Optimization algorithm; System design;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
Type :
conf
DOI :
10.1109/WCICA.2008.4593902
Filename :
4593902
Link To Document :
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