Distributed Control and Optimization Technologies in Smart Grid Systems

Fanghong Guo, Changyun Wen, Yong-Duan Song

• Publisher: CRC Press
• Year: 2017
• Print ISBN: 9781032339337
• eBook ISBN: 9781351613965
• Topic: Physical Sciences
• Subtopic: Energy

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.

Contents

List of Figures

List of Tables

Preface

Author

List of Symbols

Section I: Introduction

1 Introduction

1.1 Background and Motivation

1.2 Objectives and Scope

1.3 Microgrid

1.4 Control Strategies of MGs

1.4.1 Primary control

1.4.2 Secondary control

1.4.3 Tertiary control

1.4.3.1 Optimal power flow

1.4.3.2 Economic dispatch

1.4.3.3 Optimal energy scheduling

1.5 Major Contributions of the Book

1.6 Organization of the Book

2 Preliminaries

2.1 Graph Theory

2.2 Distributed Finite-Time Average Consensus Algorithm

2.2.1 Distributed FACA

2.3 Finite-Time Control

2.4 Multi-Agent Optimization

2.4.1 Synchronous optimization

2.4.2 Sequential optimization

2.4.3 Projection

2.4.3.1 Projection operator (Case 1)

2.4.3.2 Projection operator (Case 2)

Section II: Distributed Secondary Control

3 Distributed Voltage and Frequency Restoration Control

3.1 Introduction

3.2 Modeling of MG

3.2.1 DG model

3.2.2 Network model

3.3 Distributed Secondary Controller Design

3.3.1 Control objective

3.3.2 Distributed secondary controller design

3.3.2.1 Finite-time voltage restoration

3.3.2.2 Frequency restoration

3.4 Simulation Results

4 Distributed Voltage Unbalance Compensation

4.1 Introduction

4.2 Distributed Cooperative Secondary Control Scheme for Voltage Unbalance Compensation

4.2.1 A centralized VUC approach

4.2.2 Distributed VUC approach

4.2.2.1 Preliminary setup

4.2.2.2 Distributed VUC

4.2.2.3 Distributed cooperative secondary control scheme (DCSCS) design

4.2.2.4 Stability analysis of distributed VUC

4.3 Case Studies

4.3.1 Testing of the overall distributed control system under various cases

4.3.2 System stability and performance

4.3.3 Comparisons with centralized secondary control in []

4.3.4 Distributed voltage unbalance compensation using negative sequence current feedback

Section III: Distributed Tertiary Optimization

5 Distributed Single-Area Economic Dispatch

5.1 Introduction

5.2 Problem Formulation

5.3 Total Load Demand Discovery

5.4 Distributed Economic Dispatch

5.4.1 Distributed projected gradient method (DPGM)

5.4.2 Implementation of distributed ED

5.4.3 Complexity analysis

5.5 Case Studies

5.5.1 Case study 1: Implementation on 6-bus power system

5.5.2 Case study 2: Plug-and-play capability

5.5.2.1 Generator plug-and-play

5.5.2.2 Load plug-and-play

5.5.3 Case study 3: Implementation on IEEE 30-bus test system

5.5.4 Case study 4: Comp...

Table of contents

• Cover
• Halftitle
• Title Page
• Copyright Page
• Table of Contents