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2021 | OriginalPaper | Chapter

Power and Energy System Modeling Based on Modified Tellegen Principle

Authors : Milan Stork, Daniel Mayer

Published in: Numerical Methods for Energy Applications

Publisher: Springer International Publishing

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Abstract

The chapter deals with a problem of power and energy modeling of dynamic systems and their numerical solutions. The proposed approach is based on modified Tellegen’s theorem well known from electrical circuits solving. The new of this approach is that it is based on the power calculation for different linear and nonlinear physical systems. It is supposed that system is described by state space equations and from these equations the power and energy are calculated. The results can be used for electrical circuits, but also for other real physical system e.g. mechanical systems, heat transfer etc. which are described by state space equations. Thus, mathematically as well as physically correct results are received. Certain known and often used system representation structures are used and their transformations. The theory is supported by solved examples. The mathematical origin, derivation and results of simulations are given in this chapter. It is important mark here a close relationship between first and second Kirchhoff’s laws ensuring physical rightness and link to Tellegen’s theorem. It is also important to note that inner product incorporate instantaneous power dissipated on resistors and instantaneous power on inductors and capacitors. At last, let’s note that Tellegen’s principle can be used not only to electrical circuits but as well any model of a physical correct system with lumped parameters. Therefore if the system is described accurately by state space equations, currents and voltages can be substituted by state space variables and it’s derivations. In the chapter, the nonlinear differential equations of linear and nonlinear systems are numerically solved and optimization methods are used in some circumstances. The examples in chapter include also solution of chaotic systems. It is important to note that solution in this chapter is based on power and energy and therefore can be useful also for modeling some devices used in renewable power systems e.g. batteries, capacitors and ultracapacitors, photovoltaic panels etc.

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Appendix
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Literature
1.
go back to reference Kailath T (1980) Linear systems. Prentice Hall, Upper Saddle River, NJMATH Kailath T (1980) Linear systems. Prentice Hall, Upper Saddle River, NJMATH
2.
go back to reference Khalil HK (2002) Nonlinear systems, 3rd edn. Prentice-Hall, Upper Saddle River, NJMATH Khalil HK (2002) Nonlinear systems, 3rd edn. Prentice-Hall, Upper Saddle River, NJMATH
3.
go back to reference Ruehli AE, Johnson TA (1999) Circuit analysis computing by waveform relaxation, Wiley, New York, vol 3 Ruehli AE, Johnson TA (1999) Circuit analysis computing by waveform relaxation, Wiley, New York, vol 3
4.
go back to reference Ruehli AE (1987) Circuit analysis, simulation and design, New York: Elseviers Ruehli AE (1987) Circuit analysis, simulation and design, New York: Elseviers
5.
go back to reference Lewis FL (1992) Applied optimal control and estimation. Prentice-Hall, Englewood-Cliffs, NJMATH Lewis FL (1992) Applied optimal control and estimation. Prentice-Hall, Englewood-Cliffs, NJMATH
6.
go back to reference Ogata K (2002) Modern control engineering, 4th edn. Prentice Hall, Upper Saddle River, NJMATH Ogata K (2002) Modern control engineering, 4th edn. Prentice Hall, Upper Saddle River, NJMATH
7.
go back to reference Hrusak J, Mayer D, Stork M (2006) New approach to non-linear instability and chaos Based on generalized tellegen’s principle, WMSCI Orlando, Florida, International Institute of Informatics and Systemics, USA, ISBN 980-6560-67-1, 199–206 Hrusak J, Mayer D, Stork M (2006) New approach to non-linear instability and chaos Based on generalized tellegen’s principle, WMSCI Orlando, Florida, International Institute of Informatics and Systemics, USA, ISBN 980-6560-67-1, 199–206
8.
go back to reference Hrusak J, Mayer D, Stork M (2006) Dissipativity, minimality and physical correctness of state space representations, CITSA 2006. Orlando, Florida, USA, International Institute of Informatics and Systemics, ISBN 980-6560-83-3, 136–141 Hrusak J, Mayer D, Stork M (2006) Dissipativity, minimality and physical correctness of state space representations, CITSA 2006. Orlando, Florida, USA, International Institute of Informatics and Systemics, ISBN 980-6560-83-3, 136–141
9.
go back to reference Stork M, Hrusak J, Mayer D (2006) Chaos and strange behavior detection of continuous and digital nonlinear systems based on internal system energy autocovariance, WMSCI Orlando, Florida, International Institute of Informatics and Systemics, USA, 228–233 Stork M, Hrusak J, Mayer D (2006) Chaos and strange behavior detection of continuous and digital nonlinear systems based on internal system energy autocovariance, WMSCI Orlando, Florida, International Institute of Informatics and Systemics, USA, 228–233
10.
go back to reference Mayer D, Hrusak J, Stork M (2013) On state-space energy based generalization of Brayton–Moser topological approach to electrical network decomposition. Computing, Springer. https://doi.org./10.1007/s00607-012-0280-2 Mayer D, Hrusak J, Stork M (2013) On state-space energy based generalization of Brayton–Moser topological approach to electrical network decomposition. Computing, Springer. https://​doi.​org.​/​10.​1007/​s00607-012-0280-2
11.
go back to reference Van der Schaft AJ, Maschke BM (1995) The hamiltonian formulation of eergy conserving physical systems with external ports. Archiv fuer Elektronik und Uebertragungstechnik 49(5/6):362–371 Van der Schaft AJ, Maschke BM (1995) The hamiltonian formulation of eergy conserving physical systems with external ports. Archiv fuer Elektronik und Uebertragungstechnik 49(5/6):362–371
12.
go back to reference Williams RL, Douglas A (2007) Linear state-space control systems, Wiley, Inc. ISBN: 978-0-471-73555-7 Williams RL, Douglas A (2007) Linear state-space control systems, Wiley, Inc. ISBN: 978-0-471-73555-7
13.
go back to reference Zhou K (1995) Robust and optimal control. Prentice-Hall, Upper Saddle River, NJ Zhou K (1995) Robust and optimal control. Prentice-Hall, Upper Saddle River, NJ
14.
go back to reference Jordan DW, Smith P (2007) Nonlinear ordinary differential equations, an introduction for scientists and engineers, 4th edn. Oxford University Press, ISBN 978–0–19–920824–1 Jordan DW, Smith P (2007) Nonlinear ordinary differential equations, an introduction for scientists and engineers, 4th edn. Oxford University Press, ISBN 978–0–19–920824–1
15.
go back to reference Yan YW, Chung KL (1994) Fast algorithm for solving special tridiagonal systems. Computing, vol 52, pp 203–211 Yan YW, Chung KL (1994) Fast algorithm for solving special tridiagonal systems. Computing, vol 52, pp 203–211
16.
go back to reference Al-Khaleel M, Gander M, Ruehli J (2014) A mathematical analysis of optimized waveform relaxation for a small RC circuit. Appl Numeri Math 75(2014):61–76MathSciNetCrossRef Al-Khaleel M, Gander M, Ruehli J (2014) A mathematical analysis of optimized waveform relaxation for a small RC circuit. Appl Numeri Math 75(2014):61–76MathSciNetCrossRef
17.
go back to reference Gander MJ, Ruehli AE (2004) Optimized waveform relaxation methods for RC type circuits, IEEE Trans Circuit Syst—I: Regular papers 51(4) Gander MJ, Ruehli AE (2004) Optimized waveform relaxation methods for RC type circuits, IEEE Trans Circuit Syst—I: Regular papers 51(4)
18.
go back to reference Langtangen HP, Pedersen GK (2016) Scaling of differential equations, Springer, ISBN 978-3-319-32725-9 Langtangen HP, Pedersen GK (2016) Scaling of differential equations, Springer, ISBN 978-3-319-32725-9
19.
go back to reference Shampine LF, Gladwell I, Thompson S (2003) Solving ODEs with MATLAB, Cambridge University Press Shampine LF, Gladwell I, Thompson S (2003) Solving ODEs with MATLAB, Cambridge University Press
Metadata
Title
Power and Energy System Modeling Based on Modified Tellegen Principle
Authors
Milan Stork
Daniel Mayer
Copyright Year
2021
DOI
https://doi.org/10.1007/978-3-030-62191-9_31