Novel advancements in electrical power planning and performance /

"This book features emergent methods and research in the systemic and strategic planning of energy usage"--

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Bibliographic Details
Corporate Authors: IGI Global
Group Author: Shandilya, Smita, 1982- (Editor); Shandilya, Shishir K., 1981- (Editor); Thakur, Tripta (Editor); Nagar, Atulya K. (Editor)
Published: IGI Global,
Publisher Address: Hershey, PA :
Publication Dates: [2020]
Literature type: Book
Language: English
Series: Advances in environmental engineering and green technologies (AEEGT) book series,
Subjects:
Summary: "This book features emergent methods and research in the systemic and strategic planning of energy usage"--
Carrier Form: xv, 388 pages : illustrations, map ; 29 cm.
Bibliography: Includes bibliographical references (pages 357-381) and index.
ISBN: 9781522585510
1522585516
Index Number: TK1001
CLC: TM715
Call Number: TM715/N937
Contents: Chapter 1. Load management using swarm intelligence: dynamic economic emission dispatch optimization -- Chapter 2. Optimized hybrid power system using superconducting magnetic energy storage system: hybrid power system using SMES -- Chapter 3. Application of moth-flame optimization algorithm for the determination of maximum loading limit of power system: application of MFO for maximum loading limit -- Chapter 4. Probabilistic power system reliability assessment: distributed renewable energy sources -- Chapter 5. Electric vehicle infrastructure planning: a distribution side perspective -- Chapter 6. Voltage stability assessment techniques for modern power systems -- Chapter 7. Reactive power loss index for identification of weak nodes and reactive compensation analysis to improve steady state voltage stability -- Chapter 8. Energy management -- Chapter 9. Energy efficient and secure localization in wireless sensor networks: an approach through anchor mobility control -- Chapter 10. Power system voltage stability -- Chapter 11. Load frequency control in multi-area interconnected power systems using second order sliding mode -- Chapter 12. An energy storage system: experimental proposal for the efficiency improvement of the electrical network management.