This paper focuses on the methods that ensure rotor angle stability of electric power systems, which is most frequently analyzed with small-signal models. Over past several decades, system stabilizers (PSSs) for conventional excitation systems were main tools improving electromechanical oscillatory modes. In last decade, oscillation damping (POD) control implemented in photovoltaic (PV) inverte...

Microgrid as the main building block for future smart grids is prone to instability originated from converter-based distributed generations (DG). Herein, we first analyze small-signal stability of an inverter-interfaced microgrid. Afterwards, a novel adaptive network fuzzy inference system (ANFIS)-based optimization method introduced which aims at online tuning virtual inductances (VI) in islan...

Power system small signal stability analysis aims to explore diierent small signal stability conditions and controls, namely, 1) exploring the power system security domains and boundaries in the space of power system parameters of interest, including load ow feasibility, saddle node and Hopf bifurcation ones, 2) nding the maximum and minimum damping conditions , and 3) determining control actio...

This paper presents a comprehensive case study on electro-mechanical analysis of MEMS[1] variable capacitors. Using the fundamental mechanical and electrical equations, static and dynamic behaviors of the device are studied. The analysis is done for three different modes, namely: dc (static mode), small signal ac and large signal regime. A complete set of equations defining dynamic behavior of ...

-Power converters with their controls normally behave as a constant power load. This load can significantly degrade the system stability. Therefore, the system dynamic model is very importance because it can be used for stability analysis. It is well known that power converter models are time-varying because of their switching behaviours. This paper presents the DQ modeling method to eliminate ...

 This paper investigates the financial stability, measured by z-score technique in Islamic banking system of 20 countries from 2000 to 2010. We compare the stability of Islamic banks to the commercial banks, before and after the financial crisis. The empirical results from panel estimation show that: a) the large Islamic banks are more stable than the large commercial banks and furthermo...

This paper presents a combined approach based on Prony analysis and radial basis function neural network for monitoring small signal stability and parameter tuning of power system stabilizer. Prony analysis method is used to estimate the modal components of low frequency oscillations associated with synchronous generators. In this method, the measured (simulated) time-domain signal is decompose...

In many signal processing applications, such as EEG analysis, the non-stationary signal is often required to be segmented into small epochs. This is accomplished by drawing the boundaries of signal at time instances where its statistical characteristics, such as amplitude and/or frequency, change. In the proposed method, the original signal is initially decomposed into signals with different fr...

To address the growing dynamic issues in power electronics-based system, this paper proposed an enhanced impedance-based stability analysis which can not only obtain global view of system dynamics, but also provide a tailor-made stabilization solution by direct use measured black-box models. With method, interactions at selected multiple ports are translated as decoupled single-input single-out...