Vorliegende Sprache |
eng |
Hinweise auf parallele Ausgaben |
011293179 Druckausg.: ‡Mathematical modelling in biology and ecology |
ISBN |
978-0-387-09735-0 |
Name |
Ilic, Marija |
Xie, Le |
ANZEIGE DER KETTE |
Xie, Le |
Name |
Liu, Qixing |
T I T E L |
Engineering IT-Enabled Sustainable Electricity Services |
Zusatz zum Titel |
The Tale of Two Low-Cost Green Azores Islands |
Verlagsort |
Boston, MA |
Verlag |
Springer |
Erscheinungsjahr |
2013 |
2013 |
Umfang |
Online-Ressource (XV, 562 p. 363 illus., 275 illus. in color, digital) |
Reihe |
Power Electronics and Power Systems ; 30 |
Notiz / Fußnoten |
Description based upon print version of record |
Weiterer Inhalt |
Preface; Prologue; Contents; Part I The Tale of the Low-Cost Green Azores Islands; 1 The Case for Engineering Next-Generation IT-Enabled Electricity Services at Value; 1.1 Introduction; 1.2 Operations and Planning Approach in Today's Electric Energy Systems; 1.2.1 Multi-temporal Characterization of System Demand; 1.2.2 Basic Generation Planning, Operations, and Control; 1.2.3 Multi-temporal and Multi-spatial Complexity of Managing Today's Electric Energy Systems; 1.2.4 Multi-temporal Approach to Balancing Generation and Demand; 1.2.5 Generation Scheduling; 1.2.6 Regulation and Stabilization. 1.3 Objectives of Secure Operations in Today's Industry1.3.1 Dynamical Model of an Interconnected Power System; 1.3.2 Secure Operating Region; 1.3.3 Approximate Approach to Ensuring Secure Operations; 1.3.4 The Most Frequent Characterization of a Secure Operating Region; 1.3.5 The Key Hidden Inefficiency: Replacing Thermal Line Flow Limits with Proxy Line Flow Limits; 1.3.6 Multi-spatial Approach to Balancing Generation and Demand; 1.3.7 Hidden Inefficiency Caused by Uncoordinated Objectives of EMS and DMS Control Centers; 1.4 Operations and Planning as a Single Decision-Making Problem. 1.4.1 Problem Formulation1.5 Decomposing a Single Operations-Planning Problem into Two Subproblems; 1.5.1 Short-Term Coordinated Scheduling: Fast Decision-Making Subproblem; 1.5.2 Security-Constrained Economic Dispatch: DC Optimal Power Flow (DC OPF); 1.5.3 Long-Term Coordination: Optimal Investment Subproblem; 1.5.4 Optimal Generation Investment Problem; 1.6 The Challenge of Operating and Planning Future Electric Energy Systems; 1.6.1 Overcoming Inefficiencies Related to Approximations of Secure Operating Regions; 1.6.2 The Challenge of Implementing Flexible Asset Utilization. 1.6.3 The Challenge of Managing Low-Probability High-Impact Events Efficiently1.7 The Evolution of IT and Its Use in Today's Industry; 1.7.1 The Need to Enhance Operations; 1.7.2 Recent Technological Breakthroughs; 1.8 The Need for Enhancing Computer Methods and Automation; 1.9 Chapter Summary; References; 2 The Tale of Two Green Islands in the Azores Archipelago; 2.1 Introduction; 2.2 The Tale of Two Low-Cost Green Azores Islands; 2.3 Sustainable SEESs; 2.4 The Key Role of IT in Enabling Sustainable SEESs; 2.5 SES-Based Modeling Framework for Sustainable SEESs. 2.5.1 The Need to Model Deeper-Level Variables2.6 Toward an Approach to Designing and Operating Smart Grids for Sustainable Energy Services; 2.6.1 The Role of Smart Grids and IT for Sustainable Energy Delivery; 2.7 The Impact of Hidden Inefficiencies on the Sustainability of SEESs; 2.7.1 The Role of the Governance System; 2.8 The Key Role of IT for Relating Planning and Operations Industry Objectives; 2.9 The Key Role of IT for Enabling More Efficient Operations; 2.9.1 DYMONDS Approach to Designing IT for Sustainable SEESs; 2.9.2 IT-Enabled Governance System Evolution for Sustainable SEESs. 2.10 Book Organization |
Titelhinweis |
Druckausg.: ‡Mathematical modelling in biology and ecology |
ISBN |
ISBN 978-0-387-09736-7 |
Klassifikation |
TH |
TEC031000 |
621.042 |
TK1001-1841 |
WC 7000 |
SI 840 |
Kurzbeschreibung |
Engineering IT-Enabled Electricity Services: The Tale of Two Low-Cost Green Azores Islands covers sustainable energy services to customers - a balanced choice and coordination of energy generated by traditional and alternative sources. The “Green Islands” project represents a decade of work by over a dozen researchers who have developed a model designed to utilize the potential of distributed clean resources. The key is the proper use of Information Technology (IT). Sited on two islands in the Azores, the project developed the model of careful forecasting of demand and supply, down to the minute, coordinating the output of conventional power plants, wind energy, fly wheels, hydroelectricity, demand reduction, and even plug-in electric vehicles to take full advantage of the clean resources available. This contributed volume presents methods for predicting variable resources, such as wind power generation, and analyzes the achievable accuracy of these predictions. Throughout this book, contributors show that the cost of serving customers in systems with highly uncertain generation will depend to a very large extent on how well the predictions are done. Therefore, the supporting IT technologies based on predictive models become critical to avoid the need for fast-responding storage. The model the authors have developed could change the way power portfolios are built. A new perspective for optimization of green energy is presented in this book. Data provided with the book represents a repository of real-world electric energy systems and its IT-enabled smarts |
1. Schlagwortkette |
Ökologie |
Mathematisches Modell |
ANZEIGE DER KETTE |
Ökologie -- Mathematisches Modell |
2. Schlagwortkette |
Physiologie |
Mathematisches Modell |
ANZEIGE DER KETTE |
Physiologie -- Mathematisches Modell |
3. Schlagwortkette |
Biologie |
Mathematisches Modell |
ANZEIGE DER KETTE |
Biologie -- Mathematisches Modell |
4. Schlagwortkette |
Biomathematik |
ANZEIGE DER KETTE |
Biomathematik |
SWB-Titel-Idn |
386844186 |
Signatur |
Springer E-Book |
Bemerkungen |
Elektronischer Volltext - Campuslizenz |
Elektronische Adresse |
$uhttp://dx.doi.org/10.1007/978-0-387-09736-7 |
Internetseite / Link |
Volltext |
Siehe auch |
Volltext |
Siehe auch |
Cover |