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Power System Analysis

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TLDR
In this paper, the authors present a model for estimating the Impedance of Transmission Lines and the Capacitance of Transformer Lines in the presence of Symmetrical Faults.
Abstract
1 Basic Concepts 2 Transformers 3 The Synchronous Machine 4 Series Impedance of Transmission Lines 5 Capacitance of Transmission Lines 6 Current and Voltage Relations on a Transmission Line 7 The Admittance Model and Network Calculations 8 The Impedance Model and Network Calculations 9 Power Flow Solutions 10 Symmetrical Faults 11 Symmetrical Components and Sequence Networks 12 Unsymmetrical Faults 13 Economic Operation of Power Systems 14 Zbus Methods in Contingency Analysis 15 State Estimation of Power Systems 16 Power System Stability

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Citations
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Journal ArticleDOI

Fault Current Calculations as Influenced by Mutual Effect between Parallel Lines

TL;DR: In this paper, the authors investigated how the sequence networks for single line-to-ground (SLG) and double DLG faults will be influenced by the mutual coupling effect between the parallel lines.
Journal ArticleDOI

A Fuzzy Approach of Autonomous Power Generating Systems

TL;DR: This work demonstrates the application of fuzzy method to search efficiently optimal PI controller parameters of LFC and AVR system and shows the effectiveness of the designed system in terms of reducing settling time, overshoot and oscilllations.
Journal ArticleDOI

Use of a coded voltage signal for cable switching and fault isolation in cabled seafloor observatories

TL;DR: This work proposes a novel active switching method for network configuration that provides a way to communicate with a shore station through an existing power transmission path without additional communication path requirements.
Dissertation

Multi-period equilibrium/Near-equilibrium in electricity markets based on locational marginal prices

TL;DR: In this article, a tesis desarrolla un procedimiento de equilibrio that coordina el punto de vista of cada agente de mercado, resulting in an equilibria that maximizes simultaneamente the objetivos independientes of each agente.
Proceedings ArticleDOI

Bad Data Detection and Identification Using Neural Network-Based Reduced Model State Estimator

TL;DR: In this paper, the authors explored the capability of the reduced model artificial neural network-based power system state estimator to accurately identify single and multiple bad data, which is a great alternative to the conventional techniques and is therefore well suited for smart grid applications.