Step by step eigenvalue analysis with EMTP discrete time solutions

The present work introduces a methodology to obtain a discrete time state space representation of an electrical network using the nodal [G] matrix of the Electromagnetic Transients Program (EMTP) solution. This is the first time the connection between the EMTP nodal analysis solution and a correspon...

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Main Author: Hollman, Jorge
Format: Others
Language:en
Published: University of British Columbia 2006
Subjects:
Online Access:http://hdl.handle.net/2429/67
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spelling ndltd-LACETR-oai-collectionscanada.gc.ca-BVAU.-672013-06-05T04:16:21ZStep by step eigenvalue analysis with EMTP discrete time solutionsHollman, JorgeEMTPPower systemsReal time simulationEigenvalue analysisDiscrete time state spaceOVNIPC-clusterLatencyMulti-time scale solutionsThe present work introduces a methodology to obtain a discrete time state space representation of an electrical network using the nodal [G] matrix of the Electromagnetic Transients Program (EMTP) solution. This is the first time the connection between the EMTP nodal analysis solution and a corresponding state-space formulation is presented. Compared to conventional state space solutions, the nodal EMTP solution is computationally much more efficient. Compared to the phasor solutions used in transient stability analysis, the proposed approach captures a much wider range of eigenvalues and system operating states. A fundamental advantage of extracting the system eigenvalues directly from the EMTP solution is the ability of the EMTP to follow the characteristics of nonlinearities. The system's trajectory can be accurately traced and the calculated eigenvalues and eigenvectors correctly represent the system's instantaneous dynamics. In addition, the algorithm can be used as a tool to identify network partitioning subsystems suitable for real-time hybrid power system simulator environments, including the implementation of multi-time scale solutions. The proposed technique can be implemented as an extension to any EMTP-based simulator. Within our UBC research group, it is aimed at extending the capabilities of our real-time PC-cluster Object Virtual Network Integrator (OVNI) simulator.University of British Columbia2006-10-11T15:24:56Z2006-10-11T15:24:56Z20062006-10-11T15:24:56Z2006-11Electronic Thesis or Dissertation2766613 bytesapplication/pdfhttp://hdl.handle.net/2429/67en
collection NDLTD
language en
format Others
sources NDLTD
topic EMTP
Power systems
Real time simulation
Eigenvalue analysis
Discrete time state space
OVNI
PC-cluster
Latency
Multi-time scale solutions
spellingShingle EMTP
Power systems
Real time simulation
Eigenvalue analysis
Discrete time state space
OVNI
PC-cluster
Latency
Multi-time scale solutions
Hollman, Jorge
Step by step eigenvalue analysis with EMTP discrete time solutions
description The present work introduces a methodology to obtain a discrete time state space representation of an electrical network using the nodal [G] matrix of the Electromagnetic Transients Program (EMTP) solution. This is the first time the connection between the EMTP nodal analysis solution and a corresponding state-space formulation is presented. Compared to conventional state space solutions, the nodal EMTP solution is computationally much more efficient. Compared to the phasor solutions used in transient stability analysis, the proposed approach captures a much wider range of eigenvalues and system operating states. A fundamental advantage of extracting the system eigenvalues directly from the EMTP solution is the ability of the EMTP to follow the characteristics of nonlinearities. The system's trajectory can be accurately traced and the calculated eigenvalues and eigenvectors correctly represent the system's instantaneous dynamics. In addition, the algorithm can be used as a tool to identify network partitioning subsystems suitable for real-time hybrid power system simulator environments, including the implementation of multi-time scale solutions. The proposed technique can be implemented as an extension to any EMTP-based simulator. Within our UBC research group, it is aimed at extending the capabilities of our real-time PC-cluster Object Virtual Network Integrator (OVNI) simulator.
author Hollman, Jorge
author_facet Hollman, Jorge
author_sort Hollman, Jorge
title Step by step eigenvalue analysis with EMTP discrete time solutions
title_short Step by step eigenvalue analysis with EMTP discrete time solutions
title_full Step by step eigenvalue analysis with EMTP discrete time solutions
title_fullStr Step by step eigenvalue analysis with EMTP discrete time solutions
title_full_unstemmed Step by step eigenvalue analysis with EMTP discrete time solutions
title_sort step by step eigenvalue analysis with emtp discrete time solutions
publisher University of British Columbia
publishDate 2006
url http://hdl.handle.net/2429/67
work_keys_str_mv AT hollmanjorge stepbystepeigenvalueanalysiswithemtpdiscretetimesolutions
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