ABB Corporate Research Mats Larsson / 2002-02-18 / 1  2002 ABB Corporate Research Ltd, Baden, Switzerland New Developments on ABB Test Case Mats Larsson.

Slides:



Advertisements
Similar presentations
Distributor meeting October 2007
Advertisements

Vilmos Zsombori , Shanghai
Simulation of Feedback Scheduling Dan Henriksson, Anton Cervin and Karl-Erik Årzén Department of Automatic Control.
Control Flow Analysis (Chapter 7) Mooly Sagiv (with Contributions by Hanne Riis Nielson)
Goshen Area Bus Reconfiguration
Start Presentation Conference 2008 © Prof. Dr. François E. Cellier March 4, 2008 World3 in Modelica: Creating System Dynamics Models in the Modelica Framework.
NERC Lessons Learned Summary December NERC lessons learned published in December 2014 Three NERC lessons learned (LL) were published in December.
Composed By: Angel Aquino, Ph.D. Presented by : Mark Laufenberg, Ph.D. WECC Joint User Group February 10-11, 2015 Colstrip Acceleration Trend Relay Model.
Copyright © SEL 2004 Protection for Abnormal System Conditions Presented at: Clemson Power Systems Conference 2005 March 10, 2005 E. O. Schweitzer Schweitzer.
MotoHawk Training Model-Based Design of Embedded Systems.
1 Steps for Production Code Generation Wind Turbine Pitch Controller 1. Generate test data and extract controller 2. Discretize Change integrator blocks.
The Dymola Bond Graph Library
1 Darrin Marr Marcie Webb Brad Zarikoff Digital Input Power Meter.
HossamTalaat - MATLAB Course - KSU - 19/09/ IEEE Student Branch - College of Engineering - KSU Getting started with Power System Blockset By Prof.
Start Presentation Conference 2008 © Prof. Dr. François E. Cellier March 4, 2008 Support for Dymola in the Modeling and Simulation of Physical Systems.
ENGN 2500 Medical Image Analysis Project Progress Presentation Extraction and Visualization of Humerus, Radius and Ulna of Dogs “Subvoxel Polygonization.
Executable XML Present by 吳昆澤. Outline  Introduction  Simkin  Jelly  o:XML  Conclusion.
EECE Hybrid and Embedded Systems: Computation
Alternator vs Generator
DSP Implementation of a 1961 Fender Champ Amplifier James Siegle Advisor: Dr. Thomas L. Stewart March 11, 2003.
Introduction to Orchestra Module 14 Introduction to Orchestra a Heterogenous Co-Simulation Environment.
Simulink ® From Simulink® 7 Getting Started Guide.
Anne Mascarin DSP Marketing The MathWorks
A Library for Synchronous Control Systems in Modelica Martin Otter Bernhard Thiele Hilding Elmqvist DLR Dassault Systèmes Institute of System Dynamics.
Indian Institute of Technology, Bombay
CH07: Writing the Programs Does not teach you how to program, but point out some software engineering practices that you should should keep in mind as.
M. Taimoor Khan * Java Server Pages (JSP) is a server-side programming technology that enables the creation of dynamic,
Power Conditioners and Uninterruptible Power Supplies
1 Cheng-Ting Hsu Chao-Shun Chen Islanding Operations for the Distribution Systems with Dispersed Generation Systems Department of Electrical Engineering.
ABB Switzerland Ltd. Christoph Haederli
American Electric Power Service Corporation Jan 26, Coordinating Controls across CREZ  What dials are available to the operators?  What are the.
Electrical Distribution Training
1. 2 Outline 1.Introduction 2.Modeling 3.Simulation 4.Implementation 5.Demo 6.Conclusion.
KD Relay Application: Compensator distance relay that provides a single zone of phase protection for all three phases. It provides tripping for phase to.
ABB Summary: ABB Suite of Power Transmission Test Cases Mats Larsson Corporate Research ABB Switzerland Ltd. Jan 19, 2004.
Frankfurt (Germany), 6-9 June 2011 Pyeongik Hwang School of Electrical Engineering Seoul National University Korea Hwang – Korea – RIF Session 4a – 0324.
Frankfurt (Germany), 6-9 June 2011 MARTENSEN – DE – Session 4 – 1221 The Cell Controller Pilot Project (CCPP): From Surviving System Black-Out to Market.
Frankfurt (Germany), 6-9 June 2011 Smart Grid Protection in China Wu Guopei Guangzhou Power Supply Bureau Guangdong Power Grid, China.
Voltage Control in Power Systems: Preliminary Results T. Geyer, G. Ferrari-Trecate, T. Geyer, G. Ferrari-Trecate, M. Morari Automatic Control Laboratory.
SUMMARY Introduction System Protection Philosophy
Manjula Dewadasa Arindam Ghosh Gerard Ledwich
M.S. Thesis Defense Jason Anderson Electrical and Computer Engineering Dept. Clemson University.
MATLAB SIMULINK WORKSHOP
Javadoc: Advanced Features & Limitations Presented By: Wes Toland.
Programming with Visual C++: Concepts and Projects Chapter 2B: Reading, Processing and Displaying Data (Tutorial)
ERCOT PUBLIC 4/21/ RTP: Cascade Analysis April 21, 2015.
1 Software Reliability Analysis Tools Joel Henry, Ph.D. University of Montana.
SIMULINK-Tutorial 1 Class ECES-304 Presented by : Shubham Bhat.
Lecture 25: Implementation Complicating factors Control design without a model Implementation of control algorithms ME 431, Lecture 25.
Modeling of Power Converters using Matlab and Simulink
MATLAB SIMULINK WORKSHOP
GOSS iCM Forms Gary Ratcliffe. 2 Agenda Webinar Programme Form Groups Publish Multiple Visual Script Editor Scripted Actions Form Examples.
Libraries, APIs, Documentation, and Getting Help Layton Smith CSE 4000.
Logic Design / Processor and Control Units Tony Diep.
Cheng-Ting Hsu Presenter: Cheng-Ting Hsu Cogeneration System Design for a High-Tech Science-Based Industrial Park Department of Electrical Engineering.
S-Functions in Simulink
Introduction to Simulink Matlab based Both Continuous Time and Discrete Time Simulation Based on Blocksets Model Based Design: a software model of the.
Simulink by Dr. Amin Danial Asham. References  MATLAB Help  Telemark University College - Department of Electrical Engineering, Information Technology.
Simulink  ? 1 Simulink  ( Simu lation and Link ) is an extension of Matlab Offers modeling, simulation, and analysis of dynamical systems; i.e., a system.
July 23, BSA, a Fast and Accurate Spike Train Encoding Scheme Benjamin Schrauwen.
FUNCTIONAL PROGRAMING AT WORK - HASKELL AND DOMAIN SPECIFIC LANGUAGES Dr. John Peterson Western State Colorado University.
MATLAB och SimulinkLecture 41 To days Outline  Continuous system  Discrete systems  Subsystem  Masking  Exercises on this days topics.
Local Area Planning Update – TRANSAC Base Case Status Base case study models representing the base scenarios will be completed as follows for.
MatLab Analysis of RHIC PLL/TF System Carl Schultheiss, Nickolay Malitsky Cern PLL Workshop June 10-11, 2002.
Component models – RAND MODEL DESIGNER 7 Component models –
Top 12 PHP Frameworks 2016.
Dr. K.K. Ray, Senior Professor
Kellen Oleksak, Kevin Tomsovic, Hantao Cui
MATLAB/SIMULINK Professor Walter W. Olson
Presentation transcript:

ABB Corporate Research Mats Larsson / / 1  2002 ABB Corporate Research Ltd, Baden, Switzerland New Developments on ABB Test Case Mats Larsson

ABB Corporate Research Mats Larsson / / 2 ABB  2001 ABB Corporate Research Ltd, Baden, Switzerland Preview  The ABB Power Grid Test Case  Modelica Files  Simulink Files  C/C++ Interface  Report of Ongoing Work at ETH  Q&A during presentation

ABB Corporate Research Mats Larsson / / 3 ABB  2001 ABB Corporate Research Ltd, Baden, Switzerland The ABB Power Grid Test Case  Disturbance Input  Line trip  Discrete Step Controls  Tap changer reference voltage  Load Shedding  Capacitor Switching  Hybrid Behaviour  Generator overload protection  Transformer Relay Control  Nonlinearity  „sign change“ in tap changer control

ABB Corporate Research Mats Larsson / / 4 ABB  2001 ABB Corporate Research Ltd, Baden, Switzerland Collapse Scenario  Line tripping (L3) after 100 s  Inherent Load Recovery  Tap Changer Tries to Restore Voltage  Generator field limit activated at 286 s  Collapse Tap Controlled LoadGenerator Voltage Overload limit reached Tap Changer Control

ABB Corporate Research Mats Larsson / / 5 ABB  2001 ABB Corporate Research Ltd, Baden, Switzerland Control Objectives  Stabilize all voltages within p.u.  Use minimal amount of load shedding  Control voltage at bus 4 as close as possible to 1 p.u.  Capacitor and tap changer control can be used freely

ABB Corporate Research Mats Larsson / / 6 ABB  2001 ABB Corporate Research Ltd, Baden, Switzerland Modelica Version  Easiest way to work on model => Dymola 4.2a  New test cases will be constructed out of block library  Used to generate Simulink and C version  HTML Documentation containing all model equations  Control algorithms can be written in Modelica or external C/Fortran code

ABB Corporate Research Mats Larsson / / 7 ABB  2001 ABB Corporate Research Ltd, Baden, Switzerland Simulink Version  Only inputs and outputs available (can be extended upon request)  Only works under Windows  Can be used for verification of control schemes written in Matlab

ABB Corporate Research Mats Larsson / / 8 ABB  2001 ABB Corporate Research Ltd, Baden, Switzerland C/C++ Version  Simple API to DSBlocks generated by Dymola  Model Compiles with gcc and Visual C under Windows  Much faster than Simulink Interface  Model Structure:  There is a „family“ of functions f,g,h depending on the state of the system  Zero-crossing functions can be used to anticipate discrete changes (not yet implemented)

ABB Corporate Research Mats Larsson / / 9 ABB  2001 ABB Corporate Research Ltd, Baden, Switzerland Conclusion  First test case almost finished  Still some work on C/C++ interface  Larger examples possible