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Modern optimization techniques for s...
~
El-Ela, Adel Ali Abou.
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Modern optimization techniques for smart grids
Record Type:
Electronic resources : Monograph/item
Title/Author:
Modern optimization techniques for smart grids/ by Adel Ali Abou El-Ela, Mohamed T. Mouwafi, Adel A. Elbaset.
Author:
El-Ela, Adel Ali Abou.
other author:
Mouwafi, Mohamed T.
Published:
Cham :Springer International Publishing : : 2023.,
Description:
xvii, 226 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:
Introduction,- Optimization Techniques -- Smart Grid Technologies -- Optimal Placement of PMUs in Smart Power Systems -- Optimal Capacitor Placement for Power Loss Reduction and Voltage Profile Improvement -- Optimal Combination of DGs and Capacitor Banks for Performance Enhancement of Distribution Systems -- Conclusions -- Appendix A: Test Systems -- Appendix B: Backward/Forward Sweep Algorithm.
Contained By:
Springer Nature eBook
Subject:
Smart power grids. -
Online resource:
https://doi.org/10.1007/978-3-030-96025-4
ISBN:
9783030960254
Modern optimization techniques for smart grids
El-Ela, Adel Ali Abou.
Modern optimization techniques for smart grids
[electronic resource] /by Adel Ali Abou El-Ela, Mohamed T. Mouwafi, Adel A. Elbaset. - Cham :Springer International Publishing :2023. - xvii, 226 p. :ill. (some col.), digital ;24 cm.
Introduction,- Optimization Techniques -- Smart Grid Technologies -- Optimal Placement of PMUs in Smart Power Systems -- Optimal Capacitor Placement for Power Loss Reduction and Voltage Profile Improvement -- Optimal Combination of DGs and Capacitor Banks for Performance Enhancement of Distribution Systems -- Conclusions -- Appendix A: Test Systems -- Appendix B: Backward/Forward Sweep Algorithm.
Modern Optimization Techniques for Smart Grids presents current research and methods for monitoring transmission systems and enhancing distribution system performance using optimization techniques considering the role of different single and multi-objective functions. The authors present in-depth information on integrated systems for smart transmission and distribution, including using smart meters such as phasor measurement units (PMUs), enhancing distribution system performance using the optimal placement of distributed generations (DGs) and/or capacitor banks, and optimal capacitor placement for power loss reduction and voltage profile improvement. The book will be a valuable reference for researchers, students, and engineers working in electrical power engineering and renewable energy systems. Predicts future development of hybrid power systems; Introduces enhanced optimization strategies; Includes MATLAB M-file codes.
ISBN: 9783030960254
Standard No.: 10.1007/978-3-030-96025-4doiSubjects--Topical Terms:
1567050
Smart power grids.
LC Class. No.: TK3105
Dewey Class. No.: 621.31
Modern optimization techniques for smart grids
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Introduction,- Optimization Techniques -- Smart Grid Technologies -- Optimal Placement of PMUs in Smart Power Systems -- Optimal Capacitor Placement for Power Loss Reduction and Voltage Profile Improvement -- Optimal Combination of DGs and Capacitor Banks for Performance Enhancement of Distribution Systems -- Conclusions -- Appendix A: Test Systems -- Appendix B: Backward/Forward Sweep Algorithm.
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Modern Optimization Techniques for Smart Grids presents current research and methods for monitoring transmission systems and enhancing distribution system performance using optimization techniques considering the role of different single and multi-objective functions. The authors present in-depth information on integrated systems for smart transmission and distribution, including using smart meters such as phasor measurement units (PMUs), enhancing distribution system performance using the optimal placement of distributed generations (DGs) and/or capacitor banks, and optimal capacitor placement for power loss reduction and voltage profile improvement. The book will be a valuable reference for researchers, students, and engineers working in electrical power engineering and renewable energy systems. Predicts future development of hybrid power systems; Introduces enhanced optimization strategies; Includes MATLAB M-file codes.
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Energy (SpringerNature-40367)
based on 0 review(s)
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11.線上閱覽_V
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EB TK3105
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