Title :
State-space averaging model of wind turbine with PMSG and its virtual inertia control
Author :
Qiaoming Shi ; Gang Wang ; Lijun Fu ; Lei Yuan ; He Huang
Author_Institution :
Coll. of Electr. Eng., Xi´an Jiaotong Univ., Xi´an, China
Abstract :
With the increasing number of variable speed wind turbine generators connect to electrical grid, it is necessary for wind turbines to provide inertia support when the grid frequency drops. Because of its unclear physical concept and time-consuming calculation when the detail simulation model is adopted to deal with the virtual inertia control of the directly-driven wind turbine with permanent-magnet synchronous generator (D-PMSG), it is difficult to design the control scheme and analyze the frequency dynamic response of power systems according to the simulation results. Aiming at the physical essence of wind turbine virtual inertia control, this paper presents a properly-simplified state-space averaging model of the wind power integrated system (WPIS). The model can reflect the dynamic process of virtual inertia control. Based on the model, a linearized model is derived from equation transformation so as to get information about small signal stability. The state-space averaging model established in this paper can provide the technical means for designing the control scheme of virtual inertia control and analyzing the frequency dynamic response of the WPIS. The results of simulation tests have verified the effectiveness of the state-space averaging model.
Keywords :
control system synthesis; frequency control; linearisation techniques; machine control; machine testing; permanent magnet generators; power generation control; power grids; power system dynamic stability; synchronous generators; turbogenerators; wind turbines; D-PMSG; WPIS; directly-driven wind turbine; electrical grid; equation transformation; frequency drop; frequency dynamic response analysis; linearized model; permanent-magnet synchronous generator; power system simulation; properly-simplified state-space averaging model; small signal stability; variable speed wind turbine generator; virtual inertia control; wind power integrated system; Analytical models; Equations; Generators; Mathematical model; Power system stability; Wind power generation; Wind turbines; small signal stability; state-space averaging model; virtual inertia; wind power integrated system (WPIS); wind turbine with PMSG;
Conference_Titel :
Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
Conference_Location :
Vienna
DOI :
10.1109/IECON.2013.6699418