Computational Intelligence Applications In Smart Grids: Enabling Methodologies For Proactive And Self-organizing Power Systems

by Ahmed F Zobaa, Alfredo Vaccaro

Overview

This book considers the emerging technologies and methodologies of the application of computational intelligence to smart grids.From a conceptual point of view, the smart grid is the convergence of information and operational technologies applied to the electric grid, allowing sustainable options to customers and improved levels of security. Smart grid technologies include advanced sensing systems, two-way high-speed communications, monitoring and enterprise analysis software, and related services used to obtain location-specific and real-time actionable data for the provision of enhanced services for both system operators (i.e. distribution automation, asset management, advanced metering infrastructure) and end-users (i.e. demand side management, demand response).In this context, a crucial issue is how to support the evolution of existing electrical grids from static hierarchal systems to self-organizing, highly scalable and pervasive networks. Modern trends are oriented toward the employment of computational intelligence techniques for deploying advanced control, protection and monitoring architectures that move away from the older centralized paradigm to systems distributed across the field with an increasing pervasion of intelligence devices. The large-scale deployment of computational intelligence technologies in smart grids could lead to a more efficient tasks distribution amongst energy resources and, consequently, to a sensible improvement of the electrical grid flexibility.

Product Details

ISBN-13:	9781783265879
Publisher:	Imperial College Press
Publication date:	02/24/2015
Pages:	264
Product dimensions:	6.72(w) x 9.13(h) x 0.60(d)

Table of Contents

Preface vii

1 Wide-Area Monitoring, Protection and Control Needs, Applications, and Benefits Vahid Madani Damir Novosel Roger King 1

1.1 Introduction 1

1.2 Grid Development History 2

1.3 System Integrity Protection Schemes 15

1.4 Synchronized Measurements 20

1.5 Benefits and Roadmaps 23

1.6 Selecting PMU Locations 25

1.7 Integrated Phasor Measurement Network Subsystem and Energy Management System 35

1.8 Proof of Concept (POC) Test Facility 40

1.9 Data Mining and Cyber Security 44

1.10 On-line Dimension Reduction of Synchrophasor Data 44

1.11 Cyber Security Preparedness 45

1.12 Conclusions 45

References 48

2 A MINLP Approach for Network Reconfiguration and Dispatch in Distribution Systems Sergio Bruno Massimo La Scala 51

2.1 Introduction 51

2.2 Optimal Reconfiguration Functions in Advanced DMS Scheme 54

2.3 Test Results 62

2.4 Conclusions 73

References 74

3 Multi-Objective Optimization Methods for Solving the Economic Emission Dispatch Problem Balusu Srinivasa Rao Kanchapogu Vaisakh 77

3.1 Introduction 77

3.2 Mathematical Formulation of the EED Problem 79

3.3 Multi-Objective Optimization 83

3.4 Particle Swarm Optimization (PSO) 87

3.5 Differential Evolution (DE) 92

3.6 Genetic Algorithm 95

3.7 Clonal Selection Algorithm 99

3.8 Simulation Results 102

3.9 Conclusions 106

References 108

4 Voltage Security Assessment and Optimal Load Shedding Using the CBR Approach Narayan Prasad Patidar 113

4.1 Introduction 113

4.2 Case-Based Reasoning 116

4.3 Methodology 119

4.4 Results and Discussion 126

4.5 Conclusions 137

References 138

5 A Novel State Estimation Paradigm Based on Artificial Dynamic Models Francesco Torelli Alfredo Vaccaro 141

5.1 Introduction 141

5.2 Problem Formulation 143

5.3 A Dynamic Computing Paradigm for SE 146

5.4 Case Studies 151

5.5 Conclusion 160

References 162

6 Improving Voltage Regulation in Smart Grids through Adaptive Fuzzy Agents Giovanni Acampora Autilia Vitiello 165

6.1 Introduction 165

6.2 Related Works 167

6.3 Problem Formulation 168

6.4 An Adaptive Fuzzy Multi-Agent System for Voltage Regulation 169

6.5 Case Study and Experimental Results 178

6.6 Conclusions 183

References 184

7 Smart, Metering Daniele Gallo Carmine Landi Marco Landi Mario Luiso 187

7.1 Introduction 187

7.2 Research and Industrial Development 194

7.3 Industrial Products 204

7.4 Custom Solutions 206

7.5 Final Remarks 235

References 236

Index 241