In power systems, it is challenging to identify the faulty line and fault distance when compensating devices are present in system. This work presents a locator using an Adaptive-Network-based Fuzzy Inference System (ANFIS) that accurately estimates location on compensated conjunction with active differential-based backup protection algorithm for identification. Both identification ANFIS-based ...

in this paper, a novel neuro-fuzzy based method combined with a feature selection technique is proposed for online dynamic voltage stability status prediction of power system. this technique uses synchronized phasors measured by phasor measurement units (pmus) in a wide-area measurement system. in order to minimize the number of neuro-fuzzy inputs, training time and complication of neuro-fuzzy ...

Padua points, discovered in 2005 at the University of Padua, are first set points on square [−1,1]2[−1,1]2 that explicitly known, unisolvent for total degree polynomial interpolation and with Lebesgue constant increasing like log2(n)log2⁡(n) degree. One key features is they lie a particular Lissajous curve. Other important properties arein two dimensions, WAM extracting approximate Fekete discr...

Plankton monitoring by microscopy offers a long-term ecological perspective of plankton communities, but detection approaches are uniquely biased. Genetic identification marine has become standard is still not used in routine monitoring. This study assesses the value that genetic methods bring to microscopic and flow cytometry Western (English) Channel. An 18S high throughput sequencing (HTS) d...

In this paper, a novel neuro-fuzzy based method combined with a feature selection technique is proposed for online dynamic voltage stability status prediction of power system. This technique uses synchronized phasors measured by phasor measurement units (PMUs) in a wide-area measurement system. In order to minimize the number of neuro-fuzzy inputs, training time and complication of neuro-fuzzy ...

In this paper, a novel method is proposed to monitor the power system voltage stability using Support Vector Machine (SVM) by implementing real-time data received from the Wide Area Measurement System (WAMS). In this study, the effects of the protection schemes on the voltage magnitude of the buses are considered while they have not been investigated in previous researches. Considering overcurr...

Knowledge of the parameter values of the dynamic generator models is of paramount importance for creating accurate models for power system dynamics studies. Traditionally, power systems consists of a relatively limited numbers of large power stations and the values of generator parameters were provided by manufacturers and validated by utilities. Recently however, with the increasing penetratio...

One of the major issues in an interconnected power system is the damping of the inter-area oscillations which significantly reduces the power transfer capability. Though conventional controllers have been used such as power system stabilizer (PSS) to stabilize the local oscillations, these are not efficient to provide adequate damping to the inter-area modes. Advances in Wide-Area Measurement S...