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Since distributed interface converters (DICs) embedded in the isolated micro-grid (MG) usually have low inertia, high penetration of DIC-based MGs may result in poor voltage and frequency response when the grid experiences large disturbances. The synchronverter is proposed recently in which the DIC mimics conventional synchronous generators (SGs) by designing parameters of the SG into the droop control...
In order to provide autonomous power sharing of the conventional droop-control scheme for multiple power converters in isolated micro-grids, two consensus-based droop-control schemes will be examined. Since the conventional uniform droop gain ratio scheme requires identical droop gain ratio settings among all converters, applications to large-scale systems are restricted. An alternative scheme with...
An energy function based unified power flow controller (UPFC) is developed for improving transient stability of network-preserving power systems. In order to consider model uncertainties, we also propose a forward neural networks controller to deal with such model uncertainties. This controller can be treated as neural network approximations of energy function control actions and provides online learning...
The BCU method has been confirmed as an important on-line tool for direct transient stability assessment of power systems. The boundary property, which guarantees the controlling UEP of the original model and that of the reduced-state model, is a key issue in the BCU method. Instead of one-parameter transversality conditions proposed earlier, analytical results on the boundary property will be explored...
A new comprehensive approach is presented to improve the power swings damping of power systems. While the approach integrates the unified power flow controller (UPFC) and superconducting magnetic energy storage (SMES), employs direct Lyapunov method concept to determine the control scheme based on nonlinear power system model. It is shown that in transient states, SMES cooperates with the UPFC converters...
A Lyapunov-based adaptive neural network unified power flow controller (UPFC) is developed for improving transient stability of power systems. A simple UPFC dynamical model, composed of a controllable shunt susceptance on the shunt side and an ideal complex transformer on the series side, is utilized to analyze UPFC dynamical characteristics and control parameters. The corresponding energy function...
A new approach is presented to improve power swings damping of nonlinear power system model based on direct Lyapunov method. The approach combines superconducting magnetic energy storage (SMES) system with static series synchronous compensator (SSSC). Considering the energy absorption/injection ability of SMES, in transient states the combination exchanges both active and reactive powers with power...
This work proposes the design of robust power system stabilizers (PSS) for the supplementary damping of the largest industrial power system in Taiwan. The design procedure integrates several existing robust control techniques, including the linear matrix inequality (LMI) framework, the mixed-sensitivity formulation and model-order reductions. The selection of weighting function for shaping the open...
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