Description

Book Synopsis

This book focusses on power quality improvement and enhancement techniques with aid of intelligent controllers and experimental results. It covers topics ranging from the fundamentals of power quality indices, mitigation methods, advanced controller design and its step by step approach, simulation of the proposed controllers for real time applications and its corresponding experimental results, performance improvement paradigms and its overall analysis, which helps readers understand power quality from its fundamental to experimental implementations. The book also covers implementation of power quality improvement practices.

Key Features

  • Provides solution for the power quality improvement with intelligent techniques
  • Incorporated and Illustrated with simulation and experimental results
  • Discusses renewable energy integration and multiple case studies pertaining to various loads
  • Combines the power quality

    Table of Contents

    1. Introduction 2. Mitigation Techniques 3. A Voltage-Controlled DSTATCOM for Power Quality Improvement 4. Power Quality Issues and Solutions in Renewable Energy Systems 5. Review of Control Topologies for Shunt Active Filters 6. Control Topologies for Series Active Filters 7. Control Strategies for Active Filters 8. An Active Power Filter in Phase Coordinates for Harmonic Mitigation 9. Line Harmonics Reduction in High-Power Systems 10. AC–DC Boost Converter Control for Power Quality Mitigation 11. Harmonic and Flicker Assessment of an Industrial System with Bulk Nonlinear Loads 12. LCL Filter Design for Grid-Interconnected Systems 13. Harmonics Mitigation in Load Commutated Inverter Fed Synchronous Motor Drives 14. Power-Quality Improvements in Vector-Controlled Induction Motor Drives

Computational Paradigm Techniques for Enhancing

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    £166.25

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    RRP £175.00 – you save £8.75 (5%)

    Order before 4pm tomorrow for delivery by Fri 26 Jun 2026.

    A Hardback by L. Ashok Kumar, S Albert Alexander

    15 in stock


      View other formats and editions of Computational Paradigm Techniques for Enhancing by L. Ashok Kumar

      Publisher: Taylor & Francis Ltd
      Publication Date: 1/3/2018 12:12:00 AM
      ISBN13: 9781138336995, 978-1138336995
      ISBN10: 1138336998

      Description

      Book Synopsis

      This book focusses on power quality improvement and enhancement techniques with aid of intelligent controllers and experimental results. It covers topics ranging from the fundamentals of power quality indices, mitigation methods, advanced controller design and its step by step approach, simulation of the proposed controllers for real time applications and its corresponding experimental results, performance improvement paradigms and its overall analysis, which helps readers understand power quality from its fundamental to experimental implementations. The book also covers implementation of power quality improvement practices.

      Key Features

      • Provides solution for the power quality improvement with intelligent techniques
      • Incorporated and Illustrated with simulation and experimental results
      • Discusses renewable energy integration and multiple case studies pertaining to various loads
      • Combines the power quality

        Table of Contents

        1. Introduction 2. Mitigation Techniques 3. A Voltage-Controlled DSTATCOM for Power Quality Improvement 4. Power Quality Issues and Solutions in Renewable Energy Systems 5. Review of Control Topologies for Shunt Active Filters 6. Control Topologies for Series Active Filters 7. Control Strategies for Active Filters 8. An Active Power Filter in Phase Coordinates for Harmonic Mitigation 9. Line Harmonics Reduction in High-Power Systems 10. AC–DC Boost Converter Control for Power Quality Mitigation 11. Harmonic and Flicker Assessment of an Industrial System with Bulk Nonlinear Loads 12. LCL Filter Design for Grid-Interconnected Systems 13. Harmonics Mitigation in Load Commutated Inverter Fed Synchronous Motor Drives 14. Power-Quality Improvements in Vector-Controlled Induction Motor Drives

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