A comparative study between two static estimation algorithms, namely least error squares (LES) and least absolute value (LAV) algorithm was presented. The proposed algorithm used the past history data for the load and the ...

In this paper a simple new algorit hm for identifying the weak buses in a power system for voltage stability study is presented. The proposed algorithm is based on fuzzy set theory. Two membership functions, one for voltage ...

Most harmonic nonlinear load modeling techniques developed in the last two decades, assume that the load connected to the load bus has a constant admittance, inductive or capacitive, which depends on the mode of operation ...

The conventional method for determining the parameters of the transformer is to performing the open and short-circuited tests. The method is only suitable for off-line application. This paper presents an alternative approach ...

This paper presents a method based on fuzzy linear estimation for voltage flicker measurements. The proposed algorithm uses the digitized samples of the voltage signal at the location where the power quality standards are ...

This paper presents a new technique for measuring power system frequency, rate of change of frequency and the voltage amplitude and phase angle using the Simulated Annealing (SA) based optimization algorithm. The algorithm ...

This paper presents the application of two digital filters working together for fast estimation of power systems symmetrical components. The three-phase unbalanced system is transformed to two phases using α–β-transformation. ...

This paper presents the application of Park's transformation for identifying and measuring power system harmonics. One of the advantages of the proposed technique is that it does not need a model for the harmonics components ...

Some buses in a power system feed power to loads that are sources of harmonics. This type of bus is called a complex bus. This paper provides a new application of the constrained least absolute value algorithm (LAV) to ...

In this paper, we present a new formulation of a fuzzy linear estimation problem as one of the linear programming where the objective is to minimize the spread of the data points, subject to constraints on each measurement ...