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MODELLING OF SYSTEMS
Prepared by
Ashfaq Qureshi
Assistant Professor
Electrical Engineering Department
Shankersinh Vaghela Bapu Institute of Technology, Gandhinagar
2/6/2016 Shankersinh Vaghela Bapu Institute of Technology 2
What is modelling???
• Systematic representation of system
• Visual representation of system
• Simplification of system
• Approximation of system
Without altering essential
properties of the system
2/6/2016 Shankersinh Vaghela Bapu Institute of Technology 3
Type of models
• Graphic model
• Physical model
• Analytical model
• Number model
• Computational model
• Mathematical Model
I asked Fermi whether he was not impressed by the agreement
between our calculated numbers and his measured numbers. He
replied, How many arbitrary parameters did you use for your
calculations?" I thought for a moment about our cut-of
procedures and said, Four." He said, I remember my friend
Johnny von Neumann used to say, with four parameters I can fit
an elephant, and with five I can make him wiggle his trunk.“
Freeman Dyson on describing the predictions of his model for
meson-proton scattering to Enrico Fermo in 1953. [01]
2/6/2016 Shankersinh Vaghela Bapu Institute of Technology 4
Mathematical Modelling
• Mathematical model is a
description of a system using
mathematical concepts and
language.
• The process of developing a
mathematical model is termed
mathematical modeling.
• It is the engineering practice to
use mathematical modelling
2/6/2016 Shankersinh Vaghela Bapu Institute of Technology 5
Principles of Mathematical Modelling
• Why?
• What?
• Given?
• Assume?
• How?
• Predict?
• Valid?
• Verified?
• Improve?
• Use?
2/6/2016 Shankersinh Vaghela Bapu Institute of Technology 6
Which kind of mathematics I have to deal
with??
• Differential equations (First order, second order and higher order
)
• Partial differential equations
• Linear models
• Algebra and geometry
• Polynomial equations
• Bifurcations
• Nonlinearities
• Waves
• Probability and statistics
2/6/2016 Shankersinh Vaghela Bapu Institute of Technology 7
The commonly utilized approach
State Space Approach
𝑋= [A] X + [B]
u
Y= [C] X + [D]
u
1. Input Variable
(u)
2. State Variable
(X)
3. Output (Y)
Input variable (u) and
output variable
depends on system and
user
State variables can be
decided from presence
and location of energy
storing elements and
information storage
2/6/2016 Shankersinh Vaghela Bapu Institute of Technology 8
Process for formulating mathematical equations in
electrical circuit
• Step 1:- Identify energy (memory) storing components
• Step 2:- Identify state variables
• Step 3:- Consider dynamic equation of energy (memory) storing
components
• Step 4:- Arrange the equations in required format
2/6/2016 Shankersinh Vaghela Bapu Institute of Technology 9
Samples modelling of components
Ta t( ) Ts t( ) 0
Ta t( ) Ts t( )
 t( ) s t( ) a t( )
Ta t( ) = through - variable
angular rate difference = across-variable
2/6/2016 Shankersinh Vaghela Bapu Institute of Technology 10
Samples modelling of components
v t( )
R
C
t
v t( )
d
d

1
L 0
t
tv t( )



d r t( )
y t( ) K 1 e
 1 t
 sin  1 t  1 
2/6/2016 Shankersinh Vaghela Bapu Institute of Technology 11
Let’s “MODEL”
Step 1:- Identify energy (memory) storing
components
“C”
2/6/2016 Shankersinh Vaghela Bapu Institute of Technology 12
Let’s “MODEL”
Step 2:- Identify state variables
“VC”
2/6/2016 Shankersinh Vaghela Bapu Institute of Technology 13
Let’s “MODEL”
Step 3:- Consider dynamic equation of energy (memory)
storing components
C*dVC/dt= IC
C*dVC/dt= (Vi-VC)/ R
2/6/2016 Shankersinh Vaghela Bapu Institute of Technology 14
Let’s “MODEL”
C*dVC/dt= (Vi-VC)/ R
Rearranging,
VC= - [1/R*C] VC + [1/R*C] Vi
VC = [1] VC + [0] Vi
state matrix [A] = - [1/R*C] input matrix [B] = - [1/R*C]
output matrix [C] = [1]
direct transition (feedthrough) matrix
[D] = [0]
2/6/2016 Shankersinh Vaghela Bapu Institute of Technology 15
Try Yourself
Try “Laplace
Transformation”
2/6/2016 Shankersinh Vaghela Bapu Institute of Technology 16
2/6/2016 Shankersinh Vaghela Bapu Institute of Technology 17
What to do for modelling of power system
• Depends on what is the purpose of modelling
• The structure is modelled by graph theory
• The load can be modelled by static or dynamic
• Consideration of scalar and vector quantities
• Load flow study uses static modelling
• Transient and fault study use dynamic modelling
• Static and dynamic state estimation
Reference
1. http://www.cds.caltech.edu/~murray/books/MLS/pdf/mls94-complete.pdf
2. http://www.comap.com/modelingHB/Modeling_HB_Sample.pdf
3. http://mtm.ufsc.br/~daniel/matap/IntMatMod.pdf
4. http://www3.nd.edu/~msen/Teaching/EngAn/EngAnNotes.pdf
5. http://www.eolss.net/sample-chapters/c02/e6-03b-03-02.pdf
6. http://www.eeh.ee.ethz.ch/uploads/tx_ethstudies/modelling_hs08_script_02.pdf
7. http://nptel.ac.in
2/6/2016 Shankersinh Vaghela Bapu Institute of Technology 18
2/6/2016 Shankersinh Vaghela Bapu Institute of Technology 19
Thank
Y u

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Lecture 03-modelling of systems

  • 1. MODELLING OF SYSTEMS Prepared by Ashfaq Qureshi Assistant Professor Electrical Engineering Department Shankersinh Vaghela Bapu Institute of Technology, Gandhinagar
  • 2. 2/6/2016 Shankersinh Vaghela Bapu Institute of Technology 2 What is modelling??? • Systematic representation of system • Visual representation of system • Simplification of system • Approximation of system Without altering essential properties of the system
  • 3. 2/6/2016 Shankersinh Vaghela Bapu Institute of Technology 3 Type of models • Graphic model • Physical model • Analytical model • Number model • Computational model • Mathematical Model I asked Fermi whether he was not impressed by the agreement between our calculated numbers and his measured numbers. He replied, How many arbitrary parameters did you use for your calculations?" I thought for a moment about our cut-of procedures and said, Four." He said, I remember my friend Johnny von Neumann used to say, with four parameters I can fit an elephant, and with five I can make him wiggle his trunk.“ Freeman Dyson on describing the predictions of his model for meson-proton scattering to Enrico Fermo in 1953. [01]
  • 4. 2/6/2016 Shankersinh Vaghela Bapu Institute of Technology 4 Mathematical Modelling • Mathematical model is a description of a system using mathematical concepts and language. • The process of developing a mathematical model is termed mathematical modeling. • It is the engineering practice to use mathematical modelling
  • 5. 2/6/2016 Shankersinh Vaghela Bapu Institute of Technology 5 Principles of Mathematical Modelling • Why? • What? • Given? • Assume? • How? • Predict? • Valid? • Verified? • Improve? • Use?
  • 6. 2/6/2016 Shankersinh Vaghela Bapu Institute of Technology 6 Which kind of mathematics I have to deal with?? • Differential equations (First order, second order and higher order ) • Partial differential equations • Linear models • Algebra and geometry • Polynomial equations • Bifurcations • Nonlinearities • Waves • Probability and statistics
  • 7. 2/6/2016 Shankersinh Vaghela Bapu Institute of Technology 7 The commonly utilized approach State Space Approach 𝑋= [A] X + [B] u Y= [C] X + [D] u 1. Input Variable (u) 2. State Variable (X) 3. Output (Y) Input variable (u) and output variable depends on system and user State variables can be decided from presence and location of energy storing elements and information storage
  • 8. 2/6/2016 Shankersinh Vaghela Bapu Institute of Technology 8 Process for formulating mathematical equations in electrical circuit • Step 1:- Identify energy (memory) storing components • Step 2:- Identify state variables • Step 3:- Consider dynamic equation of energy (memory) storing components • Step 4:- Arrange the equations in required format
  • 9. 2/6/2016 Shankersinh Vaghela Bapu Institute of Technology 9 Samples modelling of components Ta t( ) Ts t( ) 0 Ta t( ) Ts t( )  t( ) s t( ) a t( ) Ta t( ) = through - variable angular rate difference = across-variable
  • 10. 2/6/2016 Shankersinh Vaghela Bapu Institute of Technology 10 Samples modelling of components v t( ) R C t v t( ) d d  1 L 0 t tv t( )    d r t( ) y t( ) K 1 e  1 t  sin  1 t  1 
  • 11. 2/6/2016 Shankersinh Vaghela Bapu Institute of Technology 11 Let’s “MODEL” Step 1:- Identify energy (memory) storing components “C”
  • 12. 2/6/2016 Shankersinh Vaghela Bapu Institute of Technology 12 Let’s “MODEL” Step 2:- Identify state variables “VC”
  • 13. 2/6/2016 Shankersinh Vaghela Bapu Institute of Technology 13 Let’s “MODEL” Step 3:- Consider dynamic equation of energy (memory) storing components C*dVC/dt= IC C*dVC/dt= (Vi-VC)/ R
  • 14. 2/6/2016 Shankersinh Vaghela Bapu Institute of Technology 14 Let’s “MODEL” C*dVC/dt= (Vi-VC)/ R Rearranging, VC= - [1/R*C] VC + [1/R*C] Vi VC = [1] VC + [0] Vi state matrix [A] = - [1/R*C] input matrix [B] = - [1/R*C] output matrix [C] = [1] direct transition (feedthrough) matrix [D] = [0]
  • 15. 2/6/2016 Shankersinh Vaghela Bapu Institute of Technology 15 Try Yourself
  • 16. Try “Laplace Transformation” 2/6/2016 Shankersinh Vaghela Bapu Institute of Technology 16
  • 17. 2/6/2016 Shankersinh Vaghela Bapu Institute of Technology 17 What to do for modelling of power system • Depends on what is the purpose of modelling • The structure is modelled by graph theory • The load can be modelled by static or dynamic • Consideration of scalar and vector quantities • Load flow study uses static modelling • Transient and fault study use dynamic modelling • Static and dynamic state estimation
  • 18. Reference 1. http://www.cds.caltech.edu/~murray/books/MLS/pdf/mls94-complete.pdf 2. http://www.comap.com/modelingHB/Modeling_HB_Sample.pdf 3. http://mtm.ufsc.br/~daniel/matap/IntMatMod.pdf 4. http://www3.nd.edu/~msen/Teaching/EngAn/EngAnNotes.pdf 5. http://www.eolss.net/sample-chapters/c02/e6-03b-03-02.pdf 6. http://www.eeh.ee.ethz.ch/uploads/tx_ethstudies/modelling_hs08_script_02.pdf 7. http://nptel.ac.in 2/6/2016 Shankersinh Vaghela Bapu Institute of Technology 18
  • 19. 2/6/2016 Shankersinh Vaghela Bapu Institute of Technology 19 Thank Y u