{"product_id":"artificial-intelligencebased-energy-management-systems-for-smart-microgrids-9780367754341","title":"Artificial Intelligence-Based Energy Management Systems for Smart Microgrids","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003e\n\u003cbr\u003eModeling and optimization of energy management systems for micro- and mini-grids is crucial for efficient power distribution. This text discusses the use of meta-heuristic and artificial intelligence algorithms to develop these systems, covering topics such as microgrid modeling, optimal protection coordination, energy dispatch, and peak demand management. It provides MATLAB®-based simulations for practical implementation. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Hardback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 374 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 07 June 2022\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Taylor \u0026amp; Francis Ltd\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eThe modeling and optimization of energy management systems for micro- and mini-grids are crucial in various aspects of energy generation, dispatch, system operation, protection coordination, power quality issues, and peak demand conflict with grid security. This comprehensive reference text delves into these topics in depth. It explores the application of meta-heuristic and artificial intelligence algorithms to develop energy management systems with energy use prediction for mini- and microgrid systems. It covers essential concepts such as modeling of microgrids 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.\u003cbr\u003e\u003cbr\u003eKey Features:\u003cbr\u003e\u003cbr\u003eComprehensive Discussion: The text provides a comprehensive discussion of mini- and microgrid concepts, including AC and DC microgrid modeling in detail.\u003cbr\u003e\u003cbr\u003eOptimization: It covers the optimization of mini- and microgrid systems using AI and meta-heuristic techniques, offering valuable insights into efficient energy management strategies.\u003cbr\u003e\u003cbr\u003eMATLAB®-Based Simulations: The text includes MATLAB®-based simulations on a mini- and microgrid, allowing readers to apply the discussed concepts and techniques in a practical setting.\u003cbr\u003e\u003cbr\u003eUseful for Graduate Students and Professionals: Designed as a reference text for graduate students and professionals in the fields of electrical engineering, electronics and communication engineering, renewable energy, and clean technology, this text offers valuable insights and practical applications in the field of microgrids.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 870g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 234 x 156 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9780367754341\u003c\/p\u003e","brand":"SanjeevikumarPadmanaban,Hassan HaesAlhelou,Om PrakashMahela,S. Rajkumar","offers":[{"title":"Hardback","offer_id":44103869726970,"sku":"9780367754341","price":151.28,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/1655472051680_book.jpg?v=1655648270","url":"https:\/\/shulphink.com\/products\/artificial-intelligencebased-energy-management-systems-for-smart-microgrids-9780367754341","provider":"Shulph Ink","version":"1.0","type":"link"}