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Renewable Energy Integration to the Grid ISBN 13: 9781032222646

Renewable Energy Integration to the Grid - Softcover

 
9781032222646: Renewable Energy Integration to the Grid

Synopsis

This comprehensive reference text discusses uncertainty modeling of renewable energy resources and its steady state analysis. The text discusses challenges related to renewable energy integration to the grid, techniques to mitigate these challenges, problems associated with integration at transmission and distribution voltage level, and protection of power system with large renewable power integration.

It covers important concepts including voltage issues in power networks, use of FACTS devices for reactive power management, stochastic optimization, robust optimization, and spatiotemporal dependence modeling.

Key Features:

  • Presents analysis and modeling of renewable generation uncertainty for planning and operation, beneficial for industry professionals and researchers.
  • Discusses dependence modeling of multi-site renewable generations in detail.
  • Covers probabilistic analysis, useful for data analysts.
  • Discusses various aspects of renewable energy integration i.e. technical, economic, etc.
  • Covers correlation factors, and methodologies are validated with case studies with various standard test systems.

The text will be useful for graduate students and professionals in the fields of electrical engineering, electronics and communication engineering, renewable energy, and clean technologies.

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About the Author

Neeraj Gupta is working as an Assistant Professor in National Institute of Technology, Srinagar, JandK, India.

Anuradha Tomar is currently working as Assistant Professor in Instrumentation & Control Engineering Division of Netaji Subhas University, Delhi, India.

B Rajanarayan Prusty is presently working as an Assistant Professor (Sr. Grade) in the School of Electrical Engineering, Vellore Institute of Technology (VIT), Vellore.

Pankaj Gupta is working with Indira Gandhi Delhi Technical University for Women, Delhi, India as Assistant Professor since 2005.

"About this title" may belong to another edition of this title.

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9780367747947: Renewable Energy Integration to the Grid

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ISBN 10:  0367747944 ISBN 13:  9780367747947
Publisher: CRC Press, 2022
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Gupta, Neeraj (EDT); Tomar, Anuradha (EDT); Prusty, B. Rajanarayan (EDT); Gupta, Pankaj (EDT)
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Paperback. Condition: new. Paperback. This comprehensive reference text discusses uncertainty modeling of renewable energy resources and its steady state analysis. The text discusses challenges related to renewable energy integration to the grid, techniques to mitigate these challenges, problems associated with integration at transmission and distribution voltage level, and protection of power system with large renewable power integration. It covers important concepts including voltage issues in power networks, use of FACTS devices for reactive power management, stochastic optimization, robust optimization, and spatiotemporal dependence modeling.Key Features: Presents analysis and modeling of renewable generation uncertainty for planning and operation, beneficial for industry professionals and researchers. Discusses dependence modeling of multi-site renewable generations in detail. Covers probabilistic analysis, useful for data analysts. Discusses various aspects of renewable energy integration i.e. technical, economic, etc. Covers correlation factors, and methodologies are validated with case studies with various standard test systems. The text will be useful for graduate students and professionals in the fields of electrical engineering, electronics and communication engineering, renewable energy, and clean technologies. This comprehensive book discusses uncertainty modeling of renewable energy resources and its steady state analysis. It also discusses challenges related to renewable energy integration to the grid, techniques to mitigate these challenges, and protection of power system with large renewable power integration. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781032222646

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