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Modern Optimization Techniques for Smart Grids / by Adel Ali Abou El-Ela, Mohamed T. Mouwafi, Adel A. Elbaset

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Publisher: Cham : Springer International Publishing, 2023Publisher: Cham : Imprint: Springer, 2023Edition: 1st ed. 2023Description: 1 Online-Ressource(XVII, 226 p. 85 illus., 58 illus. in color.)ISBN:
  • 9783030960254
Subject(s): Additional physical formats: 9783030960247 | 9783030960261 | 9783030960278 | Erscheint auch als: 9783030960247 Druck-Ausgabe | Erscheint auch als: 9783030960261 Druck-Ausgabe | Erscheint auch als: 9783030960278 Druck-AusgabeDOI: DOI: 10.1007/978-3-030-96025-4Online resources: Summary: 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.Summary: 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.PPN: PPN: 1816991023Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-ENE | ZDB-2-SXEN
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