1 edition of **Modeling and control of sustainable power systems** found in the catalog.

Modeling and control of sustainable power systems

Lingfeng Wang

- 240 Want to read
- 6 Currently reading

Published
**2012**
by Springer in Berlin, Heidelberg
.

Written in

- Control,
- Mathematical models,
- Electric power systems

**Edition Notes**

Includes bibliographical references and author index.

Statement | Lingfeng Wang (ed.). |

Series | Green energy and technology, Green energy and technology |

Classifications | |
---|---|

LC Classifications | TK1007 .M63 2012 |

The Physical Object | |

Pagination | x, 366 p. : |

Number of Pages | 366 |

ID Numbers | |

Open Library | OL25237055M |

ISBN 10 | 3642229034 |

ISBN 10 | 9783642229039 |

LC Control Number | 2011934147 |

OCLC/WorldCa | 740625848 |

Software portfolio PSS® portfolio The Power System Simulator (PSS®) product portfolio provides a full set of integrated and specialized applications for simulating, analyzing, and modeling transmission, distribution, and industrial power systems as well as gas, water, heating, and cooling infrastructures. Intelligent Computing, Networked Control, and Their Engineering Applications International Conference on Life System Modeling and Simulation, LSMS and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE , Nanjing, China, September , , Proceedings, Part II.

concept of modeling, and provide some basic material on two speciﬂc meth-ods that are commonly used in feedback and control systems: diﬁerential equations and diﬁerence equations. Modeling Concepts A model is a mathematical representation of a physical, biological or in-formation system. Models allow us to reason about a system and make. He worked on high-power converter systems and MTO devices and was responsible for the development and production of a kV medium-voltage thyristor based transfer switch. Since October , he has been a professor at Aachen University of Technology, Aachen, Germany, where he leads the Institute for Power Electronics and Electrical Drives.

of the state of some “system”. CONTROLLED DYNAMICS. We generalize a bit and suppose now that f depends also upon some “control” parameters belonging to a set A⊂ Rm; so that f: Rn×A→ if we select some value a∈ Aand consider the corresponding dynamics: ˆ x˙(t) = f(x(t),a) (t>0) x(0) = x0. Power system simulation involves modeling power generation equipment, planning the integration of power plants onto the electric grid, and performing generator control system parameter estimation. Critical power system simulation and optimization tasks include.

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Out of 5 stars Modeling and Control of Sustainable Power Systems: Towards Smarter and Greener Electric Grids by Lingfeng Wang, Editor Springer, Reviewed in the United States on Decem This is an edited book with collection of topics from various experts in the specific areas.4/5(1).

As a result, modeling and control of modern power grids pose great challenges due to the adoption of new smart grid technologies. In this book, chapters regarding representative applications of smart grid technologies written by world-renowned experts are included, which explain in detail various innovative modeling and control methods.

This book aims to provide insights on new trends in power systems operation and control and to present, in detail, analysis methods of the power system behavior (mainly its dynamics) as well as the mathematical models for the main components of power plants and the control systems implemented in dispatch centers.

Control of Power Electronic Converters and Systems examines the theory behind power electronic converter control, including operation, modeling and control of basic converters. The book explores how to manipulate components of power electronics converters and systems to produce a desired effect by controlling system variables.

ELG Sustainable Power Systems Concepts and Applications: You should be familiar with Power system dynamic modeling: components and systems Power system stability: phenomena, analysis, and techniques System control Operating economics and pricing An Overview of Power and Energy Size: 2MB.

Protection and Control of Modern Power Systems is an international academic journal co-published by Power System Protection and Control Press and Springer. The journal is devoted to presenting new theories, technologies and top-level academic achievements in the field of protection and control in modern power systems.

Mathematical Modeling of Control Systems 2–1 INTRODUCTION In studying control systems the reader must be able to model dynamic systems in math-ematical terms and analyze their dynamic characteristics.A mathematical model of a dy-namic system is defined as a set of equations that represents the dynamics of the system.

Energy Storage for Sustainable Microgrid addresses the issues related to modelling, operation and control, steady-state and dynamic analysis of microgrids with book discusses major electricity storage technologies in depth along with their efficiency, lifetime cycles, environmental benefits and capacity, so that readers can envisage which type of storage technology is best for a.

This book is intended to bridge the gap between formal engineering texts and more popularly accessible descriptions of electric power technology. I discovered this gap as a graduate student struggling to understand power systems—especially trans-mission and distribution systems—which had always fascinated me but which now.

Provides students with an understanding of the modeling and practice in power system stability analysis and control design, as well as the computational tools used by commercial vendors Bringing together wind, FACTS, HVDC, and several other modern elements, this book gives readers everything they need to know about power systems.

system is a fast, interactive power system dynamics simulator for learning and analysis. The simulator is capable of real-time simulation of large systems. Simulation of very large systems is possible with a slower simulation speed. The phenomena to be simulated are: • Transient stability.

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Sustainable Energy, Grids and Networks (SEGAN)is an international peer-reviewed publication for theoretical and applied research dealing with energy, information grids and power networks, including smart grids from super to micro grid scales.

SEGAN welcomes papers describing fundamental advances in mathematical, statistical or computational methods with application to power and energy systems.

The book features a complete account of equipment characteristics and modeling techniques. Included is detailed coverage of generators, excitation systems, prime movers, ac and dc transmission, and system loads - plus principles of active and reactive power control, and models for control s: NREL engineers have worked with the utility and renewable energy industries to develop dynamic models of renewable generators and renewable power plants with positive sequence power system simulators and electromagnetic transient simulators to allow large-scale system impact studies, utility grid integration, the development of new control algorithms, and ancillary service provisions from.

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In Control of Fuel Cell Power Systems the application of fuel cells in automotive powertrains is emphasized because of the significance of the contribution to global CO 2 emissions made by ground vehicle propulsion and because of the challenge presented by the accompanying control problems.

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The authors provide a comprehensive analysis on the model predictive control of power converters employed in a wide. Energy Secure & Sustainable Energy Future. Sandia Home; Locations; Contact Us; Employee Locator; Menu.

News; Programs. Arctic Science & Security; Electric Grid. Engineering Sciences 22 — Systems Electrical Modeling Page 4 Now we “turn on the power” and use the third dimension to indicate voltage.

Fig. Example circuit with voltage shown in the third dimension. Consider KVL from this diagram. We can start at any point. Starting at the “base” of element 2, we go up by v2. Then we go up by v3. conceptual model of Fig. 1. The smart grid further broadens the already highly distributed nature of power systems by extending control to the consumer level.

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We begin in Chapter 2 with a description of modeling of physical, biolog-ical and information systems using ordinary differential equations and difference equations.

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