Large-scale integrated energy systems : planning and operation /: planning and operation. ([2019])

• Record Type: Book
• Further Information: Note: Qing-Hua Wu, Jiehui Zheng, Zhaoxia Jing and Xiaoxin Zhou.
• Authors: Wu, Q. H; Zheng, Jiehui; Jing, Zhaoxia; Zhou, Xiaoxin
• Contents: Intro; Preface; Contents; Acronyms; 1 Introduction; 1.1 Main Characteristics of Large-Scale Integrated Energy Systems; 1.2 Methodologies of Modeling, Optimization, and Decision-Making for Integrated Energy Systems; 1.2.1 Modeling for Integrated Energy Systems; 1.2.2 Optimization for Integrated Energy Systems; 1.2.3 Decision-Making for Integrated Energy Systems; 1.3 Contents of This Book; 1.4 Summary; References; 2 Modeling of Large-Scale Integrated Energy Systems; 2.1 District Heating and Cooling Systems; 2.1.1 Description of the DHC System; 2.1.2 District Heating and Cooling Station 2.1.3 Water Supply Network2.1.4 Heating Load; 2.1.5 Cooling Load; 2.2 Combined Cooling Heating and Power Systems; 2.2.1 Description of CCHP Microgrid; 2.2.2 Wind Turbine Generator; 2.2.3 Gas Turbine and Heat Recovery Steam Generator; 2.2.4 Load Center; 2.3 Energy Hubs; 2.3.1 System Description; 2.3.2 Gas Turbine; 2.3.3 Energy Storage Battery; 2.3.4 Heat Recovery Steam Generator with Afterburning; 2.3.5 Absorption Chiller; 2.3.6 Electric Chiller; 2.3.7 Heat Exchanger; 2.3.8 Photovoltaic Generation; 2.4 Individual-Based Model for the LSIES; 2.4.1 Definition of IBM; 2.4.2 IBM for the LSIES 2.5 SummaryReferences; 3 Multi-objective Optimization Algorithms; 3.1 Formulation of the Multi-objective Optimization Problems; 3.1.1 Introduction; 3.1.2 Nonlinear Constraints Handling; 3.1.3 Pareto-Dominance Principle; 3.2 Multi-objective Group Search Optimizer with Adaptive Covariance and Lévy Flights; 3.2.1 Producer Searching Strategy; 3.2.2 Scroungers' Behaviors with Adaptive Covariance; 3.2.3 Rangers' Walks; 3.3 Multi-objective Group Search Optimizer with Adaptive Covariance and Chaotic Search; 3.4 Multi-objective Evolutionary Predator and Prey Strategy 3.4.1 Experienced Predators' Searching Mechanism3.4.2 Prey's Searching Mechanism; 3.4.3 Strategic Predators' Searching Mechanism; 3.4.4 Numerical Studies; 3.4.5 Comparison Between EPPS and Other State-of-the-Art Algorithms; 3.4.6 Application of EPPS to Three Real-World Problems; 3.5 Summary; References; 4 Multi-attribute Decision-Making Support System; 4.1 Introduction to Decision-Making Support System; 4.2 The IEW Method and Its Decision-Making Model; 4.2.1 Relationship Between Two Objectives; 4.2.2 Spearman's Rank Correlation Coefficient; 4.2.3 Objective Selection; 4.3 Evidential Reasoning 4.3.1 Multi-attribute Analysis4.3.2 Multi-evidence Reasoning; 4.3.3 Utility Evaluation; 4.4 Interval Evidential Reasoning; 4.4.1 Multi-attribute Analysis; 4.4.2 Multi-evidential Reasoning; 4.4.3 Utility Evaluation; 4.5 Simulation Studies; 4.5.1 The ER Method Performance Test; 4.5.2 The IEW Method Performance Test; 4.6 Summary; References; 5 Planning of the Large-Scale Integrated Energy Systems; 5.1 Introduction to Planning of the LSIES; 5.2 Optimal Unit Sizing for Integrated Energy Systems; 5.2.1 Unit Sizing Problem Formulation; 5.2.2 Multi-objective Interval Optimization Model
• Publisher Details: Singapore : Springer
• Publication Date: 2019
• Copyright Date: 2019
• Extent: 1 online resource
• Subjects: 621.31015118; Electric power systems -- Mathematical models; Large scale systems; Electronic books; Electronic books
• Languages: English
• ISBNs: 9789811369438; 9811369437
• Related ISBNs: 9789811369421
• Notes: Note: Includes bibliographical references.; Note: Online resource; title from PDF title page (EBSCO, viewed July 3, 2019).
• Access Rights: 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).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.