Distributed Control and Optimization Technologies in Smart Grid Systems

✍ Scribed by Fanghong Guo, Changyun Wen, Yong-Duan Song

Publisher: CRC Press
Year: 2018
Tongue: English
Leaves: 215
Series: Microgrids and Active Power Distribution Networks
Edition: First edition
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

The book aims to equalize the theoretical involvement with industrial practicality and build a bridge between academia and industry by reducing the mathematical difficulties. It provides an overview of distributed control and distributed optimization theory, followed by specific details on industrial applications to smart grid systems, with a special focus on micro grid systems. Each of the chapters is written and organized with an introductory section tailored to provide the essential background of the theories required. The text includes industrial applications to realistic renewable energy systems problems and illustrates the application of proposed toolsets to control and optimization of smart grid systems.

✦ Table of Contents

Content: Preface1 Introduction1.1 Background & Motivation1.2 Objectives and Scope1.3 Microgrid1.4 Control Strategies of MGs1.5 Major Contributions of the Book1.6 Organization of the Book2 Preliminaries2.1 Graph Theory2.2 Distributed Finite-time Average Consensus Algorithm2.3 Finite-time Control2.4 Multi-agent Optimization3 Distributed Voltage and Frequency Restoration Control 3.1 Introduction3.2 Modeling of MG3.3 Distributed Secondary Controller Design3.4 Simulation Results4 Distributed Voltage Unbalance Compensation4.1 Introduction4.2 Distributed Cooperative Secondary Control Scheme for Voltage â ¨Unbalance Compensation4.3 Case Studies5 Distributed Single-Area Economic Dispatch5.1 Introduction5.2 Problem Formulation5.3 Total Load Demand Discovery5.4 Distributed Economic Dispatch5.5 Case Studies6 Distributed Multi-Area Economic Dispatch6.1 Introduction6.2 Problem Formulation6.3 Distributed Optimization Algorithm6.4 Convergence analysis6.5 Economic Dispatch in Multi-area Power System7 Distributed Optimal Energy Scheduling7.1 Introduction7.2 Problem Formulation7.3 Distributed Optimal Energy Scheduling7.4 Case Studies8 Conclusion and Future Works8.1 Conclusion8.2 Recommendations for Future Research

✦ Subjects

Smart power grids.;TECHNOLOGY & ENGINEERING / Mechanical.

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