Estimation of Radial Power System Transfer Path Dynamic Parameters Using Synchronized Phasor Data

Application of synchronized monitoring for dynamic performance analysis Monitoring Power System Dynamic Performance Using Synchronized Sampling

The use of synchronized sampling technology is currently under rapid development in various areas of power systems. This paper reports on the latest development, demonstration and deployment efforts related to the uses of synchronized sampling technology and associated applications to improve power system monitoring during switching sequences, faults, cascading disturbances and other types of a...

Simulation of Power Systems Dynamics using Dynamic Phasor Models

SUMMARY Dynamic phasor modeling technique is mostly applied on power electronics devices. In this paper, application of the dynamic phasor modeling technique is extended to other major power system components. Starting from the detailed time-domain models, the dynamic phasor models for these components are derived and implemented. Further, an efficiency and accuracy comparison of the dynamic ph...

Estimation of Electromechanical Modes in Power Systems using Synchronized Phasor Measurements and Applications for Control of Inter-Area Oscillations

Phasor Measurement Unit Based on Robust Dynamic State Estimation in Power Systems Using M-Estimators

This paper introduces the uses of Robust Dynamic State Estimation (RDSE) with Phasor Measurement Unit (PMU), The M-Estimators Quadratic Linear (QL) and Square Root (SR) Estimators have been used. For the solution of the M-estimators problem, Iteratively Re-weighted Least Squares Estimation (IRLS) method is applied. In this work, we used the Decoupled Current Measurement (DCM) method to include ...

Parameter Estimation of Loranz Chaotic Dynamic System Using Bees Algorithm

An important problem in nonlinear science is the unknown parameters estimation in Loranz chaotic system. Clearly, the parameter estimation for chaotic systems is a multidimensional continuous optimization problem, where the optimization goal is to minimize mean squared errors (MSEs) between real and estimated responses for a number of given samples. The Bees algorithm (BA) is a new member of me...