Modelling Distributed Energy Resources in Energy Service Networks


SKU: pw76 Category:


Modeling Distributed Energy Resources in Energy Service Networks focuses on examining two key infrastructures in urban energy systems with embedded technologies. These infrastructures are natural gas and electricity networks and the embedded technologies include cogeneration and electric vehicle devices.

The subject is addressed using a holistic modelling framework which serves as a means to an end; this end being to optimize in a coordinated manner the operation of natural gas and electrical infrastructures under the presence of distributed energy resources, thus paving the way in which smartgrids should be managed.

The modeling approach developed and presented in this book, under the name “time coordinated optimal power flow” (TCOPF), functions as a decision maker entity that aggregates and coordinates the available DERs according to multiple criteria such as energy prices and utility conditions. In addition, the book contains an innovative methodology of representing the temporal and spatial elements of electric vehicle mobility via agent based modeling. This representation is used to better portray how electric vehicles will influence power flows in electrical networks.

Engineers will value the easy to understand and detailed representation of old and new energy systems via mathematical equations that will allow them to develop and study their own scenarios of future energy systems.

Bound book, 207 pages

Table of Contents:

Foreword Preface Abbreviations Symbols

1) Challenges in effectively managing energy resources, infrastructures and conversion technologies

2) Integrated modelling review

3) Modeling of energy service networks

4) Modeling embedded technologies in energy service networks

5) Time-coordinated optimal power flow for energy service networks

6) Optimizing DERs in energy service networks: a case study

7) Modeling electric vehicle mobility in energy service networks

8) Concluding remarks References Index

Additional information

Weight 2 lbs