Engineering IT-Enabled Sustainable Electricity Services : The Tale of Two Low-Cost Green Azores Islands

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...

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主要作者: Ilić, Marija D., 1951-
其他作者: Le, Xie (Éditeur intellectuel), Liu, Qixing (Éditeur intellectuel)
格式: Livre numérique
语言:Anglais
出版: Boston, MA : Springer US 2013.
Cham : Springer Nature
丛编:Power Electronics and Power Systems 30
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Edition sous un autre format:• Engineering IT-enabled sustainable electricity services, the tale of two low-cost green Azores Islands, Marija Ilic, Le Xie, Qixing Liu, editors, New York (N.Y.), Springer, 2013, Power electronics and power systems, 978-0-387-09735-0
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100 1 |a Ilić, Marija D.,  |d 1951- 
245 1 0 |a Engineering IT-Enabled Sustainable Electricity Services :  |b The Tale of Two Low-Cost Green Azores Islands   |c edited by Marija Ilic, Le Xie, Qixing Liu. 
256 |a Données textuelles 
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260 |a Cham :  |b Springer Nature,  |c 2013. 
490 0 |a Power Electronics and Power Systems  |v 30  |x 2196-3193 
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500 |a Archives Springer e-books (Licence nationale) 
505 1 |a The Case for Engineering Next-Generation IT-Enabled Electricity Services at Value The Tale of Two Green Islands in the Azores Archipelago Electrical Networks of the Azores Archipelago Generation and Demand Characteristics of the Islands of Flores and Sao Miguel Conventional Generation Dispatch Methods in Systems with Intermittent Resources Multi-Scale Models for Decomposing Uncertainties in Load and Wind Power Look-Ahead Model-Predictive Generation Dispatch Methods Assessing the Ability of Different Types of Loads to Participate in Adaptive Load Management Look-ahead Model-Predictive Generation and Demand Dispatch for Managing Uncertainties Counterexamples to Commonly Held Assumptions on Unit Commitment and Market Power Assessment The Role of Electric Vehicles in Making Azores Islands Green Optimal Placement of Wind Power Plants for Delivery Loss Minimization Toward an Extended AC OPF-Based Approach to Wind Power Integration and Pricing Modeling and Control Framework to Ensure Intra-Dispatch Regulation Reserves Stabilization and Regulation of Small Frequency Fluctuations by Means of Governor and Flywheel Control The Role of Enhanced Voltage Control in Stabilizing Dynamics of Electric Energy Systems Small Signal Stability of Electric Power Systems on the Azores Archipelago Toward Reconfigurable Smart Distribution Systems for Differentiated Reliability of Service Transient Stabilization in Systems with Wind Power Generation Planning under Uncertainty with Variable Resources 
505 0 |a Part I The tale of the low-cost Green Azores Islands -- Part II The electrical systems characteristics of two Azores Islands: Flores and S ao Miguel -- Part III Wind and load power prediction: look-ahead dispatch for the efficient use of available resources -- Part IV Efficient and viable power delivery during normal system conditions -- Part V Enhanced methods for intra-dispatch automated balancing of hard-to-predict wind power fluctuations -- Part VI Corrective adjustments and transient stabilization for ensuring reliable operations during large wind disturbances and equipment outages -- Part VII Methods for investing in new technologies under uncertainties -- 1 The case for engineering next-generation IT-enabled electricity services at value -- 2 The Tale of two Green Islands in the Azores Archipelago -- 3 Electrical networks of the Azores Archipelago -- 4 Generation and demand characteristics of the islands of Flores and S ao Miguel -- 5 Conventional generation dispatch methods in systems with intermittent resources -- 6 Multi-scale models for decomposing uncertainties in load and wind power -- 7 Look-ahead model-predictive generation dispatch methods -- 8 Assessing the ability of different types of loads to participate in adaptive load management -- 9 Look-ahead model-predictive generation and demand dispatch for managing uncertainties -- 10 Counter examples to commonly held assumptions on unit commitment and market power assessment -- 11 The role of electric vehicles in making Azores Islands Green -- 12 Optimal placement of wind power plants for delivery loss minimization -- 13 Toward an extended AC OPF-based approach to wind power integration and pricing -- 14 Modeling and control framework to ensure intra-dispatch regulation reserves -- 15 Stabilization and regulation of small -- Frequency Fluctuations by Means of Governor and Flywheel Control -- 16 The role of enhanced voltage control in stabilizing dynamics of electric energy systems -- 17 Small-signal stability analysis of electric power systems on the Azores Archipelago -- 18 Toward reconfigurable smart distribution systems for differentiated reliability of service -- 19 Transient stabilization in systems with wind power -- 20 Generation planning under uncertainty with variable resources 
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520 |a 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 
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700 1 |a Le, Xie.  |4 edt 
700 1 |a Liu, Qixing.  |4 edt 
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