|Article title||ROBUST CONTROL FOR POWER SYSTEM «DFIG – WIND TURBINE»: INTEGRAL ADAPTATION|
|Authors||A.A. Kuz'menko, A.S. Sinitsyn, A.A. Sinitsyna|
|Section||SECTION V. AUTOMATION AND CONTROL|
|Month, Year||07, 2015 @en|
|Index UDC||681.5: 621.3.078|
|Abstract||In recent years renewable energy sources are becoming increasingly important due to their huge contribution to the independence of the energy sector from non-renewable resources and environment protection. In this case perspective generators are doubly-fed induction generators (DFIG). Used DFIG control methods have significant disadvantages: they are based on the linearized DFIG model and control laws belong to the PID-regulator class. Usually traditional linear regulators and methods of adaptive control, fuzzy control and neural networks are used to ensure DFIG robustness. A fundamentally new approach to modern control theory is the synergetic control (SC). One is based on the sustainability of the object movement by the relevant synthesis of nonlinear robust and adaptive control laws. They provide both the control objectives – technological invariants, and the worst disturbances suppression. The main purpose of this work is the robust control laws synthesis for power system consisting of DFIG and wind turbine. These laws built in accordance with the SC integrated adaptation principle. Power system synergetic laws provide both system movement from an arbitrary initial state in a valid field to the final state, characterized by the desired reactive power and optimum rotor speed values, and the worst disturbance compensation. To demonstrate the effectiveness of the obtained robust control laws they are compared with traditional PI-regulators. This comparison shows that with similar the transients dynamic characteristics of traditional laws do not provide the desired value of the reactive power and they are less efficient in the range of wind speed.|
|Keywords||Power system; doubly-fed induction generator; wind turbine; robust control; synergetic control; integrated adaptation principle; invariant.|
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