Robust optimal planning and operation of electrical energy systems. ([2019])
- Record Type:
- Book
- Title:
- Robust optimal planning and operation of electrical energy systems. ([2019])
- Main Title:
- Robust optimal planning and operation of electrical energy systems
- Further Information:
- Note: Behnam Mohammadi-ivatloo, Morteza Nazari-Heris, editors.
- Editors:
- Mohammadi-ivatloo, Behnam
Nazari-Heris, Morteza - Contents:
- Intro; Preface; Acknowledgments; Contents; About the Authors; Chapter 1: Introduction to Information Gap Decision Theory Method; 1.1 Motivation; 1.1.1 Application of IGDT for Modeling Uncertainties of Renewables, Demands, and Energy Tariffs in Systematic Analysis; 1.1.2 Risk-Aversion and Risk-Seeker Decisions in Energy and Reserve Markets Using IGDT; 1.2 Mathematical Modeling of Uncertain Parameter Using IGDT; 1.2.1 Objective Function; 1.2.2 Implementation Requirement; 1.2.3 Uncertainty Formulation; 1.2.4 Implementing Risk-Aversion and Robust Decision-Making Strategy 1.2.5 Implementing Risk-Seeker and Opportunistic Design Making Strategy1.3 Conclusion and Future Trend; References; Chapter 2: Information-Gap Decision Theory: Principles and Fundamentals; 2.1 Introduction; 2.1.1 Applications; 2.1.2 Summary; 2.2 Challenges of IGDT; 2.2.1 Pros of IGDT; 2.2.2 Cons of IGDT; 2.2.3 Future Development; 2.3 Statistics Related to Documents; 2.4 Information-Gap Decision Theory Modeling; 2.4.1 System Model; 2.4.2 Uncertainty Modeling; 2.4.2.1 Energy-Bound Model; 2.4.2.2 Envelope-Bound Model; 2.4.3 Performance Requirements; 2.4.3.1 Robustness Function Profit MaximizationCost Minimization; 2.4.3.2 Opportunity Function; Profit Maximization; Cost Minimization; 2.5 Conclusion; References; Chapter 3: Optimization Framework Based on Information Gap Decision Theory for Optimal Operation of Multi-energy Systems; 3.1 Introduction; 3.1.1 Literature Review; 3.1.2 Contributions and Novelties; 3.1.3Intro; Preface; Acknowledgments; Contents; About the Authors; Chapter 1: Introduction to Information Gap Decision Theory Method; 1.1 Motivation; 1.1.1 Application of IGDT for Modeling Uncertainties of Renewables, Demands, and Energy Tariffs in Systematic Analysis; 1.1.2 Risk-Aversion and Risk-Seeker Decisions in Energy and Reserve Markets Using IGDT; 1.2 Mathematical Modeling of Uncertain Parameter Using IGDT; 1.2.1 Objective Function; 1.2.2 Implementation Requirement; 1.2.3 Uncertainty Formulation; 1.2.4 Implementing Risk-Aversion and Robust Decision-Making Strategy 1.2.5 Implementing Risk-Seeker and Opportunistic Design Making Strategy1.3 Conclusion and Future Trend; References; Chapter 2: Information-Gap Decision Theory: Principles and Fundamentals; 2.1 Introduction; 2.1.1 Applications; 2.1.2 Summary; 2.2 Challenges of IGDT; 2.2.1 Pros of IGDT; 2.2.2 Cons of IGDT; 2.2.3 Future Development; 2.3 Statistics Related to Documents; 2.4 Information-Gap Decision Theory Modeling; 2.4.1 System Model; 2.4.2 Uncertainty Modeling; 2.4.2.1 Energy-Bound Model; 2.4.2.2 Envelope-Bound Model; 2.4.3 Performance Requirements; 2.4.3.1 Robustness Function Profit MaximizationCost Minimization; 2.4.3.2 Opportunity Function; Profit Maximization; Cost Minimization; 2.5 Conclusion; References; Chapter 3: Optimization Framework Based on Information Gap Decision Theory for Optimal Operation of Multi-energy Systems; 3.1 Introduction; 3.1.1 Literature Review; 3.1.2 Contributions and Novelties; 3.1.3 Structure of Chapter; 3.2 Information Gap Decision Theory (IGDT); 3.2.1 System Model; 3.2.2 Operation Requirements; 3.2.3 Uncertainty Modeling; 3.3 Problem Formulation; 3.3.1 Electrical Limitations; 3.3.2 Thermal Limitations 3.3.3 Limitations of gas and water networks3.3.4 Objective Function Without Uncertainty; 3.3.5 IGDT-Based Optimal Performance of Hub Energy; 3.3.5.1 Uncertainty Model; 3.3.5.2 Robustness Function; 3.3.5.3 Opportunity Function; 3.4 Simulation and Results; 3.4.1 Input Data; 3.4.2 Results; 3.4.2.1 Result of Robustness Function; 3.4.2.2 Result of Opportunity Function; 3.4.2.3 Uncertainty-Based Operation of Various Sections in the Hub System; 3.5 Conclusions; References; Chapter 4: Risk-Constrained Scheduling of a Solar Ice Harvesting System Using Information Gap Decision Theory; 4.1 Introduction 4.2 Proposed Methodology4.2.1 Ice Storage System; 4.2.2 Information Gap Decision Theory; 4.2.2.1 Objective Function; 4.2.2.2 Implementation Requirement; 4.2.2.3 Uncertainty Formulation; 4.2.2.4 Implementing Risk-Aversion and Robust Decision-Making Strategy; 4.2.2.5 Implementing Risk-Seeker and Opportunistic Design-Making Strategy; 4.3 Simulation Result and Discussions; 4.3.1 Ice Making System Without IGDT; 4.3.2 Ice Making Cycle with Risk-Averse and Risk-Seeker Decisions Using IGDT; 4.4 Concluding Remarks; References; Chapter 5: Robust Unit Commitment Using Information Gap Decision Theory … (more)
- Publisher Details:
- Cham, Switzerland : Springer
- Publication Date:
- 2019
- Extent:
- 1 online resource (319 pages)
- Subjects:
- 621.31
Electric power systems
Electric power systems -- Management
Electronic books - Languages:
- English
- ISBNs:
- 9783030042967
3030042960 - Related ISBNs:
- 9783030042950
3030042952 - Notes:
- Note: Print version record.
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- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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- British Library HMNTS - ELD.DS.386217
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