Conventional and fuzzy PODCs for DFIG‐based wind farms and their impact on inter‐area and torsional oscillation damping

Abstract

Contribution to the damping of inter-area and torsional oscillation modes, in doubly fed induction generators (DFIG) based wind farms, by power oscillation damping controllers (PODCs) based on two conventional structures and a fuzzy control strategy is investigated in this study. In this regard, a PODC with no lead/lag compensation is designed first and then a PODC with one lead/lag block is developed using eigenvalue techniques and the application of an iterative process based on the bat optimisation algorithm (BOA). Moreover, a fuzzy PODC, based on a simple fuzzy controller and tuned with the BOA according to the system transient response under a critical perturbation, is also designed. Comparative performance of the three PODCs is evaluated on a multi-machine power system. It is observed that all three PODCs can contribute to improving the damping of inter-area oscillations. However, eigenvalue analysis and non-linear time domain simulations reveal that each of them may also impact to a lesser or greater extent the shaft torsional oscillation mode damping. Their relative impact in this regard is also investigated.

Multi‐channel VSI fed large variable speed asynchronous hydro‐condenser: fault analysis, fault diagnosis and fault tolerant control

“…Further, it detailed the operational challenges of these drives while adopting power converter redundancy. Faults in power devices, DC link, control circuit and grid disturbances in electric drive systems were discussed in [11][12][13][14][15][16][17][18][19][20][21]. Several publications have discussed the detection of open switch faults in three-level converters [22][23][24][25][26][27].…”

Inertia Control Strategy of DFIG-Based Wind Turbines Considering Low-Frequency Oscillation Suppression

“…In [25], a damping controller is proposed to suppress the inter-area oscillation of the system by scaling down the oscillatory component of the dominant oscillation mode and adding the inverse of this scaled oscillatory component to the reference power of the WF. In [26], a design scheme of damping controller for DFIG-based WTs based on fuzzy control is proposed, and the bat optimization algorithm is used to optimize the control parameters of the controller. A WF level LFO damping controller (LFODC), consisting of index analyzer, feedback selection, model estimator, and linear quadratic Gaussian controller, is proposed in [27].…”

Control strategy for suppressing the shafting oscillation of the grid‐connected DFIG ‐based wind power generation system

“…Thus, the shafting oscillations as a result of the disturbances in the DFIG system such as rapid wind speed fluctuation or grid faults may not be well damped, which possibly result in the same frequency oscillations in the DFIG active power. The aforementioned oscillation issues not only shorten the shafting lifetime of the wind power generation units but also induce the low‐frequency oscillation in the nearby synchronous generator systems, which brings a higher risk for dynamic stability of the grid‐connected wind power generation system …”

“…The aforementioned oscillation issues not only shorten the shafting lifetime of the wind power generation units but also induce the low-frequency oscillation in the nearby synchronous generator systems, which brings a higher risk for dynamic stability of the grid-connected wind power generation system. 4,5 In order to improve the dynamic stability of the grid with wind energy conversion system and suppress the shafting oscillation of DFIG, some researches have been presented in the past decades. Varma and Auddy 6 used a static var compensator (SVC) with a damping controller to improve the damping of torsional oscillations.…”