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 artificial int...
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Format: | Buch |
Sprache: | English |
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Taylor & Francis
2024
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Zusammenfassung: | 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 artificial intelligence techniques such as water cycle algorithms in solving power quality problems such as over-voltage and harmonic distortion. Features:- Presents a sensitivity parametric analysis for the single tuned filter parameters.- Discusses optimization-based methods for solving the allocation problem of the distributed generation units and capacitor banks in distribution systems.- Highlights the importance of artificial intelligence techniques (water cycle algorithm) for solving power quality problems such as over-voltage and harmonic distortion.- Showcases a procedure for harmonic mitigation in active distribution systems using the single tuned harmonic filters.- Helps in learning how to determine the optimal planning of the single tuned filters to mitigate the harmonic distortion in distorted systems. It will serve as an ideal reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, Power systems planning and analysis |
Beschreibung: | 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 System. 2.1. Preface. 2.2. Introduction. 2.3. Smart Distribution Systems. 2.4. Distributed Generation units (DGs). 2.5. Power Quality in Distribution Systems. Chapter 3. Optimization Techniques. 3.1. Preface. 3.2. Introduction. 3.3. Optimization Techniques Classification. 3.4. Mathematical Formulation of WCA. 3.5. Conclusion. Chapter 4. Harmonic Load Flow Analysis for Radial Distribution Systems. 4.1. Preface. 4.2. Introduction. 4.3. Fundamental Load Flow. 4.4. Harmonic Load Flow. 4.5. Single Tuned Filter Representation In Load Flow. 4.6. Conclusion . Chapter 5. Optimal Placement and Sizing of Distributed Generation and Capacitor Banks in Distribution Systems. 5.1. Preface. 5.2. Introduction. 5.3. Problem Formulation. 5.4. Applications. 5.5. Results and comments. 5.6. Conclusion. Chapter 6. Parametric Analysis of Single Tuned Harmonic Filter. 6.1. Preface. 6.2. Introduction. 6.3. Single tuned filter (STF) design. 6.4. Impact of filter parameters on its characteristics curve. 6.5. Single Tuned Filter Passband. 6.6. Impact of the system characteristics on the STF performance. 6.7. Conclusion. Chapter 7. Harmonic Mitigation for Distribution Systems With Inverter-Based DGs. 7.1. Preface. 7.2. Introduction. 7.3. Problem Formulation. 7.4. Proposed STF Planning procedure. 7.5. Applications. 7.6. Simulation Results and Discussions. 7.7. Conclusion. Chapter 8. Conclusions and Future Works. 8.1. Conclusions. References |
Beschreibung: | 126 Seiten 453 gr |
ISBN: | 9781032439242 |
Internformat
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100 | 1 | |a Abbas, Ahmed S. |e Verfasser |4 aut | |
245 | 1 | 0 | |a Power Quality Enhancement using Artificial Intelligence Techniques |
264 | 1 | |b Taylor & Francis |c 2024 | |
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338 | |b nc |2 rdacarrier | ||
500 | |a 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 System. 2.1. Preface. 2.2. Introduction. 2.3. Smart Distribution Systems. 2.4. Distributed Generation units (DGs). 2.5. Power Quality in Distribution Systems. Chapter 3. Optimization Techniques. 3.1. Preface. 3.2. Introduction. 3.3. Optimization Techniques Classification. 3.4. Mathematical Formulation of WCA. 3.5. Conclusion. Chapter 4. Harmonic Load Flow Analysis for Radial Distribution Systems. 4.1. Preface. 4.2. Introduction. 4.3. Fundamental Load Flow. 4.4. Harmonic Load Flow. 4.5. Single Tuned Filter Representation In Load Flow. 4.6. Conclusion . Chapter 5. Optimal Placement and Sizing of Distributed Generation and Capacitor Banks in Distribution Systems. 5.1. Preface. 5.2. Introduction. 5.3. Problem Formulation. 5.4. Applications. 5.5. Results and comments. 5.6. Conclusion. Chapter 6. Parametric Analysis of Single Tuned Harmonic Filter. 6.1. Preface. 6.2. Introduction. 6.3. Single tuned filter (STF) design. 6.4. Impact of filter parameters on its characteristics curve. 6.5. Single Tuned Filter Passband. 6.6. Impact of the system characteristics on the STF performance. 6.7. Conclusion. Chapter 7. Harmonic Mitigation for Distribution Systems With Inverter-Based DGs. 7.1. Preface. 7.2. Introduction. 7.3. Problem Formulation. 7.4. Proposed STF Planning procedure. 7.5. Applications. 7.6. Simulation Results and Discussions. 7.7. Conclusion. Chapter 8. Conclusions and Future Works. 8.1. Conclusions. References | ||
520 | |a 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 artificial intelligence techniques such as water cycle algorithms in solving power quality problems such as over-voltage and harmonic distortion. Features:- Presents a sensitivity parametric analysis for the single tuned filter parameters.- Discusses optimization-based methods for solving the allocation problem of the distributed generation units and capacitor banks in distribution systems.- Highlights the importance of artificial intelligence techniques (water cycle algorithm) for solving power quality problems such as over-voltage and harmonic distortion.- Showcases a procedure for harmonic mitigation in active distribution systems using the single tuned harmonic filters.- Helps in learning how to determine the optimal planning of the single tuned filters to mitigate the harmonic distortion in distorted systems. It will serve as an ideal reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, Power systems planning and analysis | ||
650 | 4 | |a bicssc / Artificial intelligence | |
650 | 4 | |a bicssc / Information technology - general issues | |
650 | 4 | |a bicssc / Software Engineering | |
650 | 4 | |a bicssc / Automatic control engineering | |
650 | 4 | |a bisacsh / TECHNOLOGY & ENGINEERING / Electronics / General | |
650 | 4 | |a bisacsh / TECHNOLOGY & ENGINEERING / Power Resources / Electrical | |
700 | 1 | |a Abou El-Ela, Adel Ali Mohamed |e Sonstige |4 oth | |
700 | 1 | |a El-Sehiemy, Ragab A. |e Sonstige |4 oth | |
700 | 1 | |a Elbaset, Adel A. |e Sonstige |4 oth | |
943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-035478253 |
Datensatz im Suchindex
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author | Abbas, Ahmed S. |
author_facet | Abbas, Ahmed S. |
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building | Verbundindex |
bvnumber | BV050141782 |
ctrlnum | (DE-599)BVBBV050141782 |
format | Book |
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Introduction. 1.1. General. 1.2. Book Objectives. 1.3. Book Contributions. 1.4. Book outlines. Chapter 2. Power Quality in Smart Distribution System. 2.1. Preface. 2.2. Introduction. 2.3. Smart Distribution Systems. 2.4. Distributed Generation units (DGs). 2.5. Power Quality in Distribution Systems. Chapter 3. Optimization Techniques. 3.1. Preface. 3.2. Introduction. 3.3. Optimization Techniques Classification. 3.4. Mathematical Formulation of WCA. 3.5. Conclusion. Chapter 4. Harmonic Load Flow Analysis for Radial Distribution Systems. 4.1. Preface. 4.2. Introduction. 4.3. Fundamental Load Flow. 4.4. Harmonic Load Flow. 4.5. Single Tuned Filter Representation In Load Flow. 4.6. Conclusion . Chapter 5. Optimal Placement and Sizing of Distributed Generation and Capacitor Banks in Distribution Systems. 5.1. Preface. 5.2. Introduction. 5.3. Problem Formulation. 5.4. Applications. 5.5. Results and comments. 5.6. Conclusion. Chapter 6. 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illustrated | Not Illustrated |
indexdate | 2025-01-28T23:00:10Z |
institution | BVB |
isbn | 9781032439242 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035478253 |
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owner_facet | DE-29T |
physical | 126 Seiten 453 gr |
publishDate | 2024 |
publishDateSearch | 2024 |
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publisher | Taylor & Francis |
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spelling | Abbas, Ahmed S. Verfasser aut Power Quality Enhancement using Artificial Intelligence Techniques Taylor & Francis 2024 126 Seiten 453 gr txt rdacontent n rdamedia nc rdacarrier 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 System. 2.1. Preface. 2.2. Introduction. 2.3. Smart Distribution Systems. 2.4. Distributed Generation units (DGs). 2.5. Power Quality in Distribution Systems. Chapter 3. Optimization Techniques. 3.1. Preface. 3.2. Introduction. 3.3. Optimization Techniques Classification. 3.4. Mathematical Formulation of WCA. 3.5. Conclusion. Chapter 4. Harmonic Load Flow Analysis for Radial Distribution Systems. 4.1. Preface. 4.2. Introduction. 4.3. Fundamental Load Flow. 4.4. Harmonic Load Flow. 4.5. Single Tuned Filter Representation In Load Flow. 4.6. Conclusion . Chapter 5. Optimal Placement and Sizing of Distributed Generation and Capacitor Banks in Distribution Systems. 5.1. Preface. 5.2. Introduction. 5.3. Problem Formulation. 5.4. Applications. 5.5. Results and comments. 5.6. Conclusion. Chapter 6. Parametric Analysis of Single Tuned Harmonic Filter. 6.1. Preface. 6.2. Introduction. 6.3. Single tuned filter (STF) design. 6.4. Impact of filter parameters on its characteristics curve. 6.5. Single Tuned Filter Passband. 6.6. Impact of the system characteristics on the STF performance. 6.7. Conclusion. Chapter 7. Harmonic Mitigation for Distribution Systems With Inverter-Based DGs. 7.1. Preface. 7.2. Introduction. 7.3. Problem Formulation. 7.4. Proposed STF Planning procedure. 7.5. Applications. 7.6. Simulation Results and Discussions. 7.7. Conclusion. Chapter 8. Conclusions and Future Works. 8.1. Conclusions. References 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 artificial intelligence techniques such as water cycle algorithms in solving power quality problems such as over-voltage and harmonic distortion. Features:- Presents a sensitivity parametric analysis for the single tuned filter parameters.- Discusses optimization-based methods for solving the allocation problem of the distributed generation units and capacitor banks in distribution systems.- Highlights the importance of artificial intelligence techniques (water cycle algorithm) for solving power quality problems such as over-voltage and harmonic distortion.- Showcases a procedure for harmonic mitigation in active distribution systems using the single tuned harmonic filters.- Helps in learning how to determine the optimal planning of the single tuned filters to mitigate the harmonic distortion in distorted systems. It will serve as an ideal reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, Power systems planning and analysis bicssc / Artificial intelligence bicssc / Information technology - general issues bicssc / Software Engineering bicssc / Automatic control engineering bisacsh / TECHNOLOGY & ENGINEERING / Electronics / General bisacsh / TECHNOLOGY & ENGINEERING / Power Resources / Electrical Abou El-Ela, Adel Ali Mohamed Sonstige oth El-Sehiemy, Ragab A. Sonstige oth Elbaset, Adel A. Sonstige oth |
spellingShingle | Abbas, Ahmed S. Power Quality Enhancement using Artificial Intelligence Techniques bicssc / Artificial intelligence bicssc / Information technology - general issues bicssc / Software Engineering bicssc / Automatic control engineering bisacsh / TECHNOLOGY & ENGINEERING / Electronics / General bisacsh / TECHNOLOGY & ENGINEERING / Power Resources / Electrical |
title | Power Quality Enhancement using Artificial Intelligence Techniques |
title_auth | Power Quality Enhancement using Artificial Intelligence Techniques |
title_exact_search | Power Quality Enhancement using Artificial Intelligence Techniques |
title_full | Power Quality Enhancement using Artificial Intelligence Techniques |
title_fullStr | Power Quality Enhancement using Artificial Intelligence Techniques |
title_full_unstemmed | Power Quality Enhancement using Artificial Intelligence Techniques |
title_short | Power Quality Enhancement using Artificial Intelligence Techniques |
title_sort | power quality enhancement using artificial intelligence techniques |
topic | bicssc / Artificial intelligence bicssc / Information technology - general issues bicssc / Software Engineering bicssc / Automatic control engineering bisacsh / TECHNOLOGY & ENGINEERING / Electronics / General bisacsh / TECHNOLOGY & ENGINEERING / Power Resources / Electrical |
topic_facet | bicssc / Artificial intelligence bicssc / Information technology - general issues bicssc / Software Engineering bicssc / Automatic control engineering bisacsh / TECHNOLOGY & ENGINEERING / Electronics / General bisacsh / TECHNOLOGY & ENGINEERING / Power Resources / Electrical |
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