Electric distribution network management and control /
General Material Designation
[Book]
First Statement of Responsibility
Ali Arefi, Farhad Shahnia, Gerard Ledwich, editors.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Singapore :
Name of Publisher, Distributor, etc.
Springer,
Date of Publication, Distribution, etc.
[2018]
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource (xv, 345 pages)
SERIES
Series Title
Power systems,
ISSN of Series
1612-1287
CONTENTS NOTE
Text of Note
Intro; Preface; Reviewers; Contents; About the Editors; Abbreviations; 1 Managing Risk in Electric Distribution Networks; Abstract; 1.1 Chapter Overview; 1.2 The Need for Flexibility Options in Distribution Networks; 1.2.1 Challenges of Variable Energy Sources Integration; 1.2.2 Emerging Energy Consumption Forms; 1.2.2.1 Demand Management in Industrial Installations; 1.2.2.2 Small-Scale DR: Demand Management in Services and Households; 1.2.2.3 Electric Vehicles (EVs); 1.2.2.4 Power to Heat; 1.2.2.5 Power to Gas; 1.2.3 Risk Posed by Increasing Uncertainty and Variability.
Text of Note
1.2.4 The Path Towards More Flexible and Smarter Grids1.3 Managing Distribution Networks Featuring Large-Scale Variable Energy Sources; 1.3.1 General Problem Description; 1.3.2 Algebraic Formulation; 1.4 Case Study, Results and Discussions; Appendix; References; 2 Distribution Network Modeling and Management; Abstract; 2.1 Introduction; 2.2 Electric Distribution Network Modelling; 2.2.1 Electric Distribution Network Multi-phase Modelling; 2.2.1.1 Distribution Lines; 2.2.1.2 Transformers; 2.2.1.3 Loads/Capacitor Banks; 2.2.1.4 Distributed Energy Resources.
Text of Note
2.2.2 Approximation of Unbalanced Network with Balanced Model2.3 Application of the Unbalanced Model in DMS Applications; 2.3.1 Test Results on Power Flow Analysis; 2.3.2 Unbalanced Model-Based Loss Reduction; 2.3.2.1 Methodology; 2.3.2.2 Test Distribution Networks; 2.3.2.3 Test Results on Loss Reduction; Appendix; References; 3 Distribution Network Demand and Its Uncertainty; Abstract; 3.1 Introduction; 3.2 Buddying: Simulated Network Demand with Limited Monitoring; 3.2.1 Buddying Methodology; 3.2.2 The Simple Algorithm Buddy; 3.2.3 Assessing the Buddying.
Text of Note
3.2.4 Case Study for 122 LV Substation Feeders3.2.4.1 Data and Study Specifications; 3.2.4.2 Buddying Error Analysis; 3.2.5 Incorporating Commercial Customers and Generation; 3.2.6 A Note on Other Approaches; 3.3 Modelling Uncertainty on LV Electric Distribution Networks; 3.3.1 Monitoring Based Confidence Bound Generation; 3.3.2 Simple Confidence Bound Generation (Limited Monitoring); 3.3.3 Case Study; 3.4 Incorporating Uncertainty into the Buddying; 3.4.1 A Simple Update; 3.4.2 Uniformly Distributed; 3.4.3 Buddying to Confidence.
Text of Note
3.4.4 Uncertainty of Buddying from the Distribution of Smart Meter Data3.5 Power Flow Analysis Examples; Appendix; Customer Groups; Genetic Algorithm; References; 4 Coordinated Voltage Control in Active Distribution Networks; Abstract; 4.1 Introduction; 4.2 Voltage Control Methods in a System with Distributed Generation; 4.2.1 Decentralized Voltage Control Methods; 4.2.2 Centralized/Coordinated Voltage Control Methods; 4.3 Fuzzy Logic for Coordinated Voltage Control in Active Distribution Systems; 4.3.1 Fuzzy Logic and Fuzzy Inference System.
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SUMMARY OR ABSTRACT
Text of Note
This book highlights the recent research advances in the area of operation, management and control of electricity distribution networks. It addresses various aspects of distribution network management, including operation, customer engagement and technology accommodation. Electricity distribution networks are an important part of the power delivery system, and the smart control and management of distribution networks is vital in order to satisfy technical, economic, and customer requirements. A new management philosophy, techniques, and methods are essential to handle uncertainties, security, and stability associated with the integration of renewable-based distributed generation units, demand forecast and customer needs. This book discusses these topics in the context of managing the capacity of distribution networks while addressing the future needs of electricity systems. Furthermore, the efficient and economic operation of distribution networks is an essential part of management of system for effective use of resources, and as such the also addresses operation and control approaches and techniques suitable for future distribution networks.
ACQUISITION INFORMATION NOTE
Source for Acquisition/Subscription Address
Springer Nature
Stock Number
com.springer.onix.9789811070013
OTHER EDITION IN ANOTHER MEDIUM
Title
Electric distribution network management and control.