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Engineering IT-Enabled Sustainable Electricity Services

The Tale of Two Low-Cost Green Azores Islands

  • Book
  • © 2013

Overview

Editors:
  1. Marija Ilic

    1. , Electrical and Computer Engineering (ECE, Carnegie Mellon University, Pittsburgh, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Le Xie

    1. , Dept. of Electrical and Comp. Eng., Texas A&M University, College Station, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. Qixing Liu

    1. Carnegie Mellon University, Pittsburgh, USA

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    You can also search for this editor in PubMed   Google Scholar

  • Approaches the problem of electric power system architecture evolution.
  • Helps readers develop dedicated systems-engineering based modeling and simulation tools.
  • Discusses the dynamic and distributed risk management under various uncertainties, such as physical (reliability-related) and financial.
  • Describes the inherent features of several possible future architectures.
  • Includes supplementary material: sn.pub/extras

Part of the book series: Power Electronics and Power Systems (PEPS, volume 30)

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Table of contents (20 chapters)

  1. Front Matter

    Pages i-xv
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  2. The Tale of the Low-Cost Green Azores Islands

    1. Front Matter

      Pages 1-1
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    2. The Case for Engineering Next-Generation IT-Enabled Electricity Services at Value

      • Marija Ilić
      Pages 3-45

    3. The Tale of Two Green Islands in the Azores Archipelago

      • Marija Ilić
      Pages 47-95

  3. The Electrical Systems Characteristics of Two Azores Islands: Flores and São Miguel

    1. Front Matter

      Pages 97-97
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  4. The Electrical Systems Characteristics of Two Azores Islands: Flores and São Miguel

    1. Electrical Networks of the Azores Archipelago

      • Masoud Honarvar Nazari
      Pages 99-118

    2. Generation and Demand Characteristics of the Islands of Flores and São Miguel

      • Jonathan Donadee, Jhi-Young Joo, Remco Verzijlbergh, Marija Ilić
      Pages 119-147

  5. Wind and Load Power Prediction: Look-Ahead Dispatch for the Efficient Use of Available Resources

    1. Front Matter

      Pages 149-149
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    2. Conventional Generation Dispatch Methods in Systems with Intermittent Resources

      • Paulo D. F. Ferreira, Pedro M. S. Carvalho, Luis A. F. M. Ferreira
      Pages 151-170

    3. Multi-scale Models for Decomposing Uncertainties in Load and Wind Power

      • Noha Abdel-Karim, Marija Ilić
      Pages 171-208

    4. Look-Ahead Model-Predictive Generation Dispatch Methods

      • Le Xie, Yingzhong Gu, Marija Ilić
      Pages 209-223

    5. Assessing the Ability of Different Types of Loads to Participate in Adaptive Load Management

      • Jhi-Young Joo, Jonathan Donadee, Marija Ilić
      Pages 225-246

    6. Look-Ahead Model-Predictive Generation and Demand Dispatch for Managing Uncertainties

      • Jhi-Young Joo, Yingzhong Gu, Le Xie, Jonathan Donadee, Marija Ilić
      Pages 247-259

    7. Counterexamples to Commonly Held Assumptions on Unit Commitment and Market Power Assessment

      • Wolfgang Gatterbauer, Marija Ilić
      Pages 261-271

    8. The Role of Electric Vehicles in Making Azores Islands Green

      • R. A. Verzijlbergh, M. D. Ilić, Z. Lukszo
      Pages 273-291

  6. Efficient and Viable Power Delivery During Normal System Conditions

    1. Front Matter

      Pages 293-293
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    2. Optimal Placement of Wind Power Plants for Delivery Loss Minimization

      • Masoud Honarvar Nazari
      Pages 295-303

    3. Toward an Extended AC OPF-Based Approach to Wind Power Integration and Pricing

      • Marija Ilić, Jeffrey H. Lang
      Pages 305-341

  7. Enhanced Methods for Intra-dispatch Automated Balancing of Hard-to-Predict Wind Power Fluctuations

    1. Front Matter

      Pages 343-343
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    2. Modeling and Control Framework to Ensure Intra-dispatch Regulation Reserves

      • Nipun Popli, Marija Ilić
      Pages 345-369
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About this book

Sustainable energy services to customers - a balanced choice and coordination of energy generated by traditional and alternative sources - are the subject of this new innovative book. The myriad factors involved in modeling an effective sustainable power system are overwhelming. 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. The energy contingencies of the remote islands are not unique. The issues of integrating promising clean technologies, such as wind, into a complex power grid are challenging in geographically far-flung, island-scale, power systems.
 
Model-based sensing, communications, and decision-making algorithms to coordinate adaptive load management (ALM) could enable customers to utilize just-in-time (JIT), just-in-place (JIP), and just-in-context (JIC) energy resources. The distribution of flexible and efficient energy to customers is the goal. 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. Additional data provided online via Springer represents a repository of real-world electric energy systems and its IT-enabled smarts.

Editors and Affiliations

  • , Electrical and Computer Engineering (ECE, Carnegie Mellon University, Pittsburgh, USA

    Marija Ilic

  • , Dept. of Electrical and Comp. Eng., Texas A&M University, College Station, USA

    Le Xie

  • Carnegie Mellon University, Pittsburgh, USA

    Qixing Liu

Bibliographic Information

  • Book Title: Engineering IT-Enabled Sustainable Electricity Services

  • Book Subtitle: The Tale of Two Low-Cost Green Azores Islands

  • Editors: Marija Ilic, Le Xie, Qixing Liu

  • Series Title: Power Electronics and Power Systems

  • DOI: https://doi.org/10.1007/978-0-387-09736-7

  • Publisher: Springer New York, NY

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer Science+Business Media New York 2013

  • Hardcover ISBN: 978-0-387-09735-0Published: 11 June 2013

  • eBook ISBN: 978-0-387-09736-7Published: 12 June 2013

  • Series ISSN: 2196-3185

  • Series E-ISSN: 2196-3193

  • Edition Number: 1

  • Number of Pages: XV, 562

  • Number of Illustrations: 88 b/w illustrations, 275 illustrations in colour

  • Topics: Energy Systems, Power Electronics, Electrical Machines and Networks, Energy Systems

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