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This paper presents a Wide Area Control (WAC) design to enhance the transient stability of Doubly Fed Induction Generators (DFIG) integrated power grid. The proposed WAC design is based on a nonlinear optimal control algorithm using Reinforcement Learning (RL) and Neural Networks (NNs), which optimizes the closed-loop performance of the wind integrated power grid through Approximate Dynamic Programming...
This paper presents a speed estimation based vector control architecture for Doubly Fed Induction Generator (DFIG). The main advantage of the proposed architecture is that with this methodology the generator can be operated without a speed sensor and position encoder. The method calculates the machine parameters online using a recursive least square (RLS) technique based on identifying the transfer...
In this paper, a formal procedure to evaluate the operational value of ancillary services provided by battery energy storage systems is presented along with a methodology on how to schedule the battery considering maximum benefits. The ancillary services considered are photovoltaic (PV) power output smoothing, voltage support and energy time shift (ETS). The benefits provided by energy storage applications...
Modern day distribution systems (DS) is now hosting increasing number of both small and large scale distributed energy resources (DERs). Even though these DERs have capability to support reactive power along with the active power they provide, practitioners are still hesitant in utilizing the reactive power potential from these DERs. One of the major concerns for the distribution system operator is...
In this paper, a discrete form of reduced order state observer for Doubly Fed Induction Generator (DFIG) is designed that estimates the machine states and rotor currents using stator voltage and power measurements. Further, the proposed state observer is used to provide a state feedback control strategy for Rotor Side Converter (RSC) of DFIG. The state observer and controller were tested on varying...
This paper presents a system identification based minimum variance architecture for active and reactive power control of a Grid Connected Inverter (GCI). The controller is adaptive as the parameters in the control law are updated online based on identification that relate the output (active and reactive power) and the input (direct and quadrature axis voltage references). The main advantage of the...
In this paper, a reduced order state observer for DFIG is designed that estimate the states with just using DFIG's stator voltage and power measurements. Further, the proposed state observer is used to provide two control strategies for Rotor Side Converter (RSC) of DFIG a) state estimator based state feedback control and b) state estimator based vector control. The state observer and controllers...
This paper presents a system identification based minimum variance controller for active and reactive power control of Doubly Fed Induction Generator (DFIG). The controller is adaptive as the parameters in the control law are updated online based on system identification that relate the output (active and reactive power) and the input (direct and quadrature axis rotor voltages). The main advantage...
In this paper an intelligent wide-area damping controller is proposed for a wind integrated power grid. The proposed design is based on an energy function based intelligent optimal controller evolved from adaptive critic design using reinforcement learning technique. A Lyapunov function candidate is derived that links the energy function and the transient stability of the integrated system with the...
A state feedback control strategy for Doubly Fed Induction Generator (DFIGs) is investigated. Both the rotor side converter and grid side converter control of DFIG has been designed using the proposed state feedback control technique. A comparison between the traditional PI based vector control (VC) of DFIG with the proposed form of control has also been presented. It has been shown that this methodology...
This paper presents a novel sensor-less speed estimation technique applicable for vector control of the Doubly Fed Induction Generator (DFIG). The proposed technique can substitute the use of speed sensors and rotor position measurements. The proposed method is based on online identification of system parameters that minimizes the speed estimation error using minimum variance controller based on the...
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