Power quality enhancement using Artificial Intelligence techniques

"This text discusses sensitivity parametric analysis for the single tuned filter parameters and presents an optimization-based method for solving the allocation problem of the distributed generation units and capacitor banks in distribution systems. It also highlights the importance of artifici...

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Bibliographic Details
Main Authors: Abou El-Ela, Adel Ali Mohamed, Abbas, Ahmed S. (Author), El-Sehiemy, Ragab A. (Author), Elbaset, Adel A. (Author)
Format: eBook
Language:English
Published: Boca Raton CRC Press 2023
Edition:First edition
Subjects:
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Table of Contents:
  • Includes bibliographical references and index
  • Cover
  • Half Title
  • Title Page
  • Copyright Page
  • Table of Contents
  • Preface
  • Acknowledgments
  • Authors
  • List of Abbreviations and Symbols Used
  • Chapter 1 Introduction
  • 1.1 General
  • 1.2 Book Objectives
  • 1.3 Book Contributions
  • 1.4 Book Outlines
  • Chapter 2 Power Quality in Smart Distribution Systems
  • 2.1 Introduction
  • 2.2 Smart Distribution Systems
  • 2.3 Distributed Generation Units (DGs)
  • 2.4 Power Quality in Distribution Systems
  • 2.4.1 Power Quality Definition
  • 2.4.2 Power Quality Parameters
  • 2.4.2.1 Voltage Sag
  • 2.4.2.2 Voltage Swell
  • 2.4.2.3 Over-Voltage
  • 2.4.2.4 Under Voltage
  • 2.4.2.5 Voltage Fluctuation
  • 2.4.2.6 Transient Voltage
  • 2.4.2.7 Noise Disturbance
  • 2.4.2.8 Voltage Unbalance
  • 2.4.2.9 Power Factor
  • 2.4.2.10 Harmonics
  • 2.4.3 Impacts of Power Quality Issues
  • 2.4.4 Power Quality Solutions
  • 2.4.5 Harmonic Standards
  • 2.4.6 Harmonic Elimination Techniques
  • 2.4.6.1 Passive Filters
  • 2.4.6.2 Active Filters
  • 2.4.6.3 Harmonic Cancellation
  • 2.4.6.4 Isolation Transformer
  • 2.4.6.5 Harmonic Blocking
  • Chapter 3 Optimization Techniques
  • 3.1 Introduction
  • 3.2 Optimization Techniques Classification
  • 3.2.1 Conventional Optimization Techniques
  • 3.2.1.1 Linear Programming
  • 3.2.1.2 Quadratic Programming
  • 3.2.2 Artificial Intelligence Techniques
  • 3.2.2.1 Genetic Algorithm
  • 3.2.2.2 Ant Colony Optimization Algorithm
  • 3.2.2.3 Proposed Water cycle Algorithm
  • 3.3 Mathematical Formulation of WCA
  • 3.3.1 Creation of the Initial Population
  • 3.3.2 Evaporation Condition
  • 3.3.3 Raining Process
  • 3.3.4 Constraint Handling
  • 3.3.5 Convergence Criteria
  • 3.3.6 Steps of WCA
  • 3.4 Conclusion
  • Chapter 4 Harmonic Load Flow Analysis for Radial Distribution Systems
  • 4.1 Introduction
  • 4.2 Fundamental Load Flow
  • 4.3 Harmonic Load Flow
  • 4.4 Single-Tuned Filter Representation in Load Flow
  • 4.5 Conclusion
  • Chapter 5 Optimal Placement and Sizing of Distributed Generation and Capacitor Banks in Distribution Systems
  • 5.1 Introduction
  • 5.1.1 Distributed Generation Units Placement
  • 5.1.2 Capacitor Banks Placement
  • 5.1.3 Hybrid DGs/CBs Placement
  • 5.1.4 Chapter Contribution
  • 5.2 Problem Formulation
  • 5.2.1 Objective Functions
  • 5.2.2 System Constraints
  • 5.3 Applications
  • 5.3.1 Test Distribution Systems
  • 5.3.2 WCA for Allocating DGs and CBs in the System Problem
  • 5.3.3 Cases Studied
  • 5.4 Results and Comments
  • 5.4.1 Results of 33-Bus Network
  • 5.4.2 Results of 69-Bus Network
  • 5.4.3 Results of the Real Distribution System
  • 5.5 Conclusion
  • Chapter 6 Parametric Analysis of Single-Tuned Harmonic Filter
  • 6.1 Introduction
  • 6.2 Single-Tuned Filter Design
  • 6.2.1 Single-Tuned Filter Designing Steps
  • 6.3 Impact of Filter Parameters on Its Characteristics Curve
  • 6.3.1 Impact of t[sub(f)] (At Fixed Q[sub(c)] and Q[sub(f)])
  • 6.3.2 Impact of Q[sub(f)] (At Fixed Q[sub(c)] and t[sub(f)])
  • 6.3.3 Impact of Q[sub(c)] (at Fixed Q[sub(f)] and t[sub(f)])
  • 6.4 Single-Tuned Filter Passband
  • 6.5 Impact of System Characteristics on Filter Performance
  • 6.6 Conclusion
  • Chapter 7 Harmonic Mitigation for Distribution Systems with Inverter-Based DGs
  • 7.1 Introduction
  • 7.2 Problem Formulation
  • 7.2.1 Objective Functions
  • 7.2.2 System Constraints
  • 7.3 Proposed STF Planning Procedure
  • 7.4 Applications
  • 7.5 Simulation Results and Discussions
  • 7.5.1 Test Distribution System
  • 7.5.2 Simulation Results
  • 7.5.2.1 Results of Case 1
  • 7.5.2.2 Results of Case 2
  • 7.6 Conclusion
  • Chapter 8 Conclusions
  • 8.1 Conclusions
  • References
  • Appendix A: Test Systems