Systemic design methodologies for electrical energy systems : analysis, synthesis and management

Select an Action

Place Hold(s)
Add to My Lists
Email
Print

Title:

Series:

Electrical engineering series

Publication Information:

London : ISTE ; Hoboken, N.J. : Wiley, c2012

Physical Description:

xv, 374 p. : ill. ; 24 cm.

ISBN:

9781848213883

Subject Term:

Electric power systems -- Design and construction

Added Author:

Roboam, Xavier

Available:*

Library	Item Barcode	Call Number	Material Type	Item Category 1	Status
Searching... PSZ JB	30000010306282	TK1001 S974 2012	Open Access Book	Book	Searching... Unknown

This book proposes systemic design methodologies applied to electrical energy systems, in particular analysis and system management, modeling and sizing tools.
It includes 8 chapters: after an introduction to the systemic approach (history, basics & fundamental issues, index terms) for designing energy systems, this book presents two different graphical formalisms especially dedicated to multidisciplinary devices modeling, synthesis and analysis: Bond Graph and COG/EMR. Other systemic analysis approaches for quality and stability of systems, as well as for safety and robustness analysis tools are also proposed. One chapter is dedicated to energy management and another is focused on Monte Carlo algorithms for electrical systems and networks sizing.
The aim of this book is to summarize design methodologies based in particular on a systemic viewpoint, by considering the system as a whole. These methods and tools are proposed by the most important French research laboratories, which have many scientific partnerships with other European and international research institutions. Scientists and engineers in the field of electrical engineering, especially teachers/researchers because of the focus on methodological issues, will find this book extremely useful, as will PhD and Masters students in this field.

Author Notes

Xavier Roboam is a Senior Scientist at Laboratory on Plasma and Conversion of Energy, University Paul Sabatier, Toulouse, France.

Stephan Astier and Alain Bouscayrol and Xavier RoboamXavier Roboam and Eric Bideaux and Genevieve Dauphin-Tanguy and Bruno Sareni and Stéphan AstierAlain Bouscayrol and Jean Paul Hautier and Betty Lemaire-SemailNicolas Retière and Delphine Riu and Mathieu Sautreuil and Olivier SenameHubert Piquet and Nicolas Roux and Babak Nahid-Mobarakeh and Serge Pierfederici and Pierre Magne and Jérôme FaucherChristophe Turpin and Stéphan Astier and Xavier Roboam and Bruno Sareni and Hubert PiquetPatrick Guérin and Geoffroy Roblot and Laurence MiègevilleYvon Bésanger and Jean-Pierre Rognon

Preface	p. xi
Chapter 1 Introduction to Systemic Design	p. 1
1.1 The system and the science of systems	p. 2
1.1.1 First notions of systems and systems theory	p. 3
1.1.2 A brief history of systems theory and the science of systems	p. 6
1.1.3 The science of systems and artifacts	p. 9
1.2 The model and the science of systems	p. 12
1.3 Energy systems: specific and shared properties	p. 15
1.3.1 Energy and its properties	p. 15
1.3.2 Entropy and quality of energy	p. 19
1.3.3 Consequences for energy systems	p. 24
1.4 Systemic design of energy systems	p. 26
1.4.1 The context of systemic design in technology	p. 26
1.4.2 The design process: toward an integrated design	p. 28
1.5 Conclusion: what are the objectives for an integrated design of energy conversion systems?	p. 32
1.6 Glossary of systemic design	p. 33
1.7 Bibliography	p. 36
Chapter 2 The Bond Graph Formalism for an Energetic and Dynamic Approach of the Analysis and Synthesis of Multiphysical Systems	p. 39
2.1 Summary of basic principles and elements of the formalism	p. 41
2.1.1 Basic elements	p. 41
2.1.2 The elementary phenomena	p. 42
2.1.3 The causality in bond graphs	p. 45
2.2 The bond graph: an "interdisciplinary formalism"	p. 46
2.2.1 "Electro-electrical" conversion	p. 47
2.2.2 Electromechanical conversion	p. 51
2.2.3 Electrochemical conversion	p. 52
2.2.4 Example of a causal multiphysical model: the EHA actuator	p. 55
2.3 The bond graph, tool of system analysis	p. 56
2.3.1 Analysis of models properties	p. 56
2.3.2 Linear time invariant models	p. 58
2.3.3 Simplification of models	p. 61
2.4 Design of systems by inversion of bond graph models	p. 69
2.4.1 Inverse problems associated with the design approach	p. 70
2.4.2 Inversion of systems modeled by bond graph	p. 72
2.4.3 Example of application to design problems	p. 78
2.5 Bibliography	p. 84
Chapter 3 Graphic Formalisms for the Control of Multi-Physical Energetic Systems: COG and EMR	p. 89
3.1 Introduction	p. 89
3.2 Which approach should be used for the control of an energetic system?	p. 90
3.2.1 Control of an energetic system	p. 90
3.2.2 Different approaches to the control of a system	p. 91
3.2.3 Modeling and control of an energetic system	p. 92
3.2.4 Toward the use of graphic formalisms of representation	p. 93
3.3 The causal ordering graph	p. 95
3.3.1 Description by COG	p. 95
3.3.2 Structure of control by inversion of the COG	p. 100
3.3.3 Elementary example: control of a DC drive	p. 105
3.4 Energetic Macroscopic Representation	p. 107
3.4.1 Description by EMR	p. 108
3.4.2 Structure of control by inversion of an EMR	p. 111
3.4.3 Elementary example: control of an electrical vehicle	p. 114
3.5 Complementarity of the approaches and extensions	p. 116
3.5.1 Differences and complementarities	p. 117
3.5.2 Example: control of a paper band winder/unwinder	p. 117
3.5.3 Other applications and extensions	p. 119
3.6 Bibliography	p. 120
Chapter 4 The Robustness: A New Approach for the Integration of Energetic Systems	p. 125
4.1 Introduction	p. 125
4.2 Control design of electrical systems	p. 126
4.2.1 The control design is an issue of integration	p. 126
4.2.2 The nominal control synthesis	p. 130
4.2.3 The analysis of robustness	p. 135
4.3 Application to an on-board generation system	p. 141
4.3.1 Presentation of a nominal system	p. 141
4.3.2 Modeling and dynamical analysis of the nominal system	p. 141
4.3.3 Analysis of the robustness	p. 147
4.4 Conclusion	p. 155
4.5 Bibliography	p. 155
Chapter 5 Quality and Stability of Embedded Power DC Networks	p. 159
5.1 Introduction	p. 159
5.1.1 Challenges to quality optimization	p. 160
5.1.2 The difficulty of stability	p. 161
5.2 Production of DC networks: the quality of the distributed energy	p. 165
5.2.1 Combined and specialized electrical architectures	p. 165
5.2.2 AC/DC converters	p. 167
5.2.3 Studying AC/DC interactions	p. 167
5.2.4 Simplified modeling of the HVDC network	p. 169
5.2.5 Methods of causal analysis of AC/DC interactions	p. 170
5.3 Characterization of the input impedances/admittances of equipment	p. 172
5.3.1 Analytical characterization of the input impedance of systems in electrical engineering	p. 173
5.3.2 Experimental and simulation characterization	p. 187
5.4 Analysis of asymptotic stability via methods, based on impedance specifications	p. 190
5.4.1 Introduction	p. 190
5.4.2 Principles: the case of a two-body cascading system	p. 191
5.5 Analysis of asymptotic stability via the Routh-Hurwitz criterion	p. 206
5.5.1 Overview of the Routh-Hurwitz criterion	p. 206
5.5.2 Example, design charts	p. 207
5.5.3 Analysis of network architectures with regard to their stability	p. 210
5.6 Analysis tools for asymptotic global stability - dynamic behavior of an HVDC network subject to large-signal disturbances	p. 215
5.6.1 Introduction	p. 215
5.6.2 Analysis tools for large signal stability	p. 216
5.6.3 Conclusion	p. 219
5.7 Conclusion to the chapter	p. 219
5.8 Bibliography	p. 220
Chapter 6 Energy Management in Hybrid Electrical Systems with Storage	p. 223
6.1 Introduction to energy hybridization via the example of hybrid automobiles	p. 224
6.1.1 General information on the architectures of hybrid automobiles	p. 224
6.1.2 Parallel architecture: summation of the mechanical powers	p. 225
6.1.3 Series architecture: summation of the electric powers	p. 226
6.1.4 Series-parallel architecture	p. 228
6.2 Energy management in electric junction hybrid systems with electric energy storage	p. 229
6.2.1 Storage, essential properties, power invertibility, losses	p. 229
6.2.2 Electric junction hybrid systems, electric node	p. 233
6.2.3 Generic hybrid system with an electric node containing storage, energy flow management	p. 234
6.2.4 Strategy for frequency splitting of power via active filtering	p. 236
6.2.5 Electric node and energy degrees of freedom	p. 239
6.2.6 Overview of energy management in electric-junction multisource hybrid systems with storage: energy management strategy	p. 242
6.3 Indicators, criteria and data for the design of hybrid systems	p. 245
6.3.1 Properties of storage units for hybridization	p. 245
6.3.2 Mission properties, energy indicators	p. 247
6.4 Examples in various application areas	p. 250
6.4.1 Example 1. Simple hybridization: emergency generator for an aircraft based on a wind turbine hybridized by supercapacitors	p. 250
6.4.2 Example 2. Simple hybridization: emergency generator for an aircraft based on a fuel cell hybridized with supercapacitors	p. 256
6.4.3 Example 3. Double hybridization: power train of a locomotive based on a combustion engine hybridized by batteries and supercapacitors	p. 266
6.4.4 Example 4. Double hybridization: smoothing of photovoltaic generation via an electrolyzer-fuel cell tandem (H 2 /O 2 battery) and a lead acid battery	p. 275
6.5 Conclusion for energy management in hybrid systems	p. 281
6.6 Bibliography	p. 283
Chapter 7 Stochastic Approach Applied to the Sizing of Energy Chains and Power Systems	p. 287
7.1 Introduction	p. 287
7.2 Standard principle of the power report	p. 289
7.2.1 Maximum current	p. 290
7.2.2 Load factor Ku	p. 290
7.2.3 Diversity factor Ks	p. 291
7.2.4 Enhancement factor Ka	p. 292
7.2.5 Application	p. 292
7.3 Stochastic approach	p. 294
7.3.1 Observation	p. 294
7.3.2 Principle of the stochastic approach	p. 295
7.4 Modeling of the loads	p. 297
7.4.1 Different types of loads	p. 298
7.4.2 Modeling using a specification	p. 299
7.4.3 Modeling using experimental readings	p. 301
7.5 Simulation of the power flows	p. 302
7.5.1 Analytical method	p. 302
7.5.2 Monte Carlo method	p. 304
7.5.3 Application to an "on-board" power system	p. 306
7.6 Probabilistic and dynamic approach	p. 312
7.6.1 Modeling of the loads or associated electrical quantities	p. 312
7.6.2 Simulation of the power flows	p. 316
7.6.3 Application to the embedded network	p. 317
7.7 Conclusion	p. 319
7.8 Bibliography	p. 321
Chapter 8 Probabilistic Approach for Reliability of Power Systems	p. 325
8.1 Contextual elements	p. 325
8.2 Basic concepts of the Monte Carlo simulation	p. 331
8.2.1 Monte Carlo method	p. 331
8.2.2 Simulation	p. 331
8.2.3 Basic statistical concepts and definitions	p. 331
8.2.4 Monte Carlo simulation	p. 333
8.3 Variance reduction	p. 340
8.3.1 Justification and principles	p. 340
8.3.2 Comparative study of the variance reduction methods	p. 342
8.4 Illustrative example	p. 363
8.5 Conclusion	p. 367
8.6 Bibliography	p. 368
List of Authors	p. 371
Index	p. 373

Available:*

On Order

Summary

Summary

Author Notes

Table of Contents