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Artificial Intelligence-Based Energy Management Systems for Smart Microgrids
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Artificial Intelligence-Based Energy Management Systems for Smart Microgrids

Book Details

Format Hardback or Cased Book
ISBN-10 0367754347
ISBN-13 9780367754341
Publisher Taylor & Francis Ltd
Imprint CRC Press
Country of Manufacture GB
Country of Publication GB
Publication Date Jun 7th, 2022
Print length 374 Pages
Weight 702 grams
Dimensions 24.30 x 16.40 x 2.80 cms
Ksh 27,900.00
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The text discusses the modeling and optimization of mini and micro grids systems with artificial intelligence and meta-heuristic techniques. It will be an ideal reference text for graduate students and professionals in the fields of electrical engineering, electronics and communication engineering, renewable energy, and clean technologies.

Modeling and optimization of energy management systems for micro- and mini-grids play an important role in the fields of energy generation dispatch, system operation, protection coordination, power quality issues, and peak demand conflict with grid security. This comprehensive reference text provides an in-depth insight into these topics. This text discusses the use of meta-heuristic and artificial intelligence algorithms for developing energy management systems with energy use prediction for mini- and microgrid systems. It covers important concepts including modeling of microgrid and energy management systems, optimal protection coordination-based microgrid energy management, optimal energy dispatch with energy management systems, and peak demand management with energy management systems.

Key Features:

  • Presents a comprehensive discussion of mini- and microgrid concepts
  • Discusses AC and DC microgrid modeling in detail
  • Covers optimization of mini- and microgrid systems using AI and meta-heuristic techniques
  • Provides MATLAB®-based simulations on a mini- and microgrid

Comprehensively discussing concepts of microgrids with the help of software-based simulations, this text will be useful as a reference text for graduate students and professionals in the fields of electrical engineering, electronics and communication engineering, renewable energy, and clean technology.


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