Call for Book Chapter Proposals for the Springer Book

Call for Book Chapter Proposals for the Springer Book

 

Dear Colleagues,

We are honored to invite you to submit your book chapter proposals for the following edited book.

Book Title

Robust optimal planning and operation of electrical energy systems

Synopsis

Considering the existence of uncertain factors in electric energy systems, such as load variation, power market price, and power generation of renewable energy sources, the results provided by the conventional deterministic optimal planning and operation of electric energy systems are not confirmed to be optimal framework for future power system conditions. Accordingly, studying uncertainties associated with parameters of electric energy systems is of importance for obtaining more effective and promising solutions of planning and operation of electric energy systems. Uncertainty of parameters can be studied in two main classifications including a: uncertainty related to difference of the real value of a parameter and the value estimated in observations or calculations, and b: uncertainty of load demand, price of different types of energy, generation availability, and weather interruptions. In traditional approaches, probabilistic methods, interval based analysis, hybrid probabilistic and possibilistic methods are implemented for handling uncertainties associated with power system parameters. Recently, robust modeling methods such as robust optimization (RO) and information gap decision theory (IGDT) methods are introduced as effective tools for the solution of power system problems. The robust modeling methods such as robust optimization (RO) and information gap decision theory (IGDT) methods lead to more effective solutions and are promising for the robust planning and operation of electric energy systems. This book aims to study robust planning and operation of electric energy systems by employing robust modeling methods.

 

Book Contents

We welcome book chapter contributions centered (but not exclusively) on the following themes: Authors are welcome to propose a new book chapter title related to the book topics.

 

  • Part 1: A conceptual introduction and review on planning and operation of electric energy systems
    • Chapter 1 Optimal planning issues of electric energy systems under uncertainty
    • Chapter 2 Optimal operation issues of electric energy systems under uncertainty
    • Chapter 3 Introduction to robust optimization (RO) method
    • Chapter 4 Introduction to information gap decision theory (IGDT) method
    • Chapter 5 Robust optimal planning and operation of electric energy systems (Using RO, IGDT, …)
  • Part 2: Application of robust decision making methods to optimal planning and operation of electric energy systems (Using RO, IGDT, …)
    • Chapter 6 Robust unit commitment (Using RO, IGDT, …)
    • Chapter 7 Robust short-term scheduling (Using RO, IGDT, …)
    • Chapter 8 Robust optimal power flow (Using RO, IGDT, …)
    • Chapter 9 Robust transmission network expansion planning (Using RO, IGDT, …)
    • Chapter 10 Robust strategic bidding of energy management systems (Using RO, IGDT, …)
    • Chapter 11 Robust energy generation scheduling (Using RO, IGDT, …)
    • Chapter 12 Robust economic dispatch problem in renewable-based hybrid energy systems (Using RO, IGDT, …)
    • Chapter 13 Robust electricity market optimization (Using RO, IGDT, …)
    • Chapter 14 Robust optimal design of hybrid energy systems (Using RO, IGDT, …)

Important Dates:

February 1, 2018: Book Chapter Proposal

March 1, 2018: Accept/Reject Notification

May 1, 2018: Full Chapter Submission

July 1, 2018: Accept/Reject Notification

September 1, 2018: Revised chapter Submission

December 1, 2018: Final Print Version Available (Tentative)

 

Editors

Morteza Nazari-Heris, University of Tabriz, Tabriz, Iran

Behnam Mohammadi-Ivatloo, University of Tabriz, Tabriz, Iran

Please send your inquiries and book chapter proposals (Abstract of the proposed book chapter, tentative sections and subsections of the chapter) to Morteza Nazari-Heris and Behnam Mohammadi-Ivatloo:
mnazari@tabrizu.ac.irbmohammadi@tabrizu.ac.ir 

Best Regards,

Morteza Nazari Heris

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Ph.D. Student

Faculty of Electrical and Computer Engineering

University of Tabriz

51666, Tabriz,

Iran