Author: Publisher:
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Languages : en
Pages :
Book Description
IEEE Std 802-2014 (Revision to IEEE Std 802-2001)
Author: IEEE Std 802-2014 (Revision to IEEE Std 802-2001) - Redline
Author: IEEE Std 802-2014 (Revision to IEEE Std 802-2001).
Author: IEEE Std 802-2014 (Revision to IEEE Std 802-2001) - Redline
Author: IEEE Std 802-2001 (Revision of IEEE Std 802-1990)
Author: P802-REV/D2.0 (Revision of IEEE Std 802-2001, Incorporating IEEE Std 802a-2003, and IEEE Std 802b-2004)
Author: P802-REV/D1.6 (Revision of IEEE Std 802-2001, Incorporating IEEE Std 802a-2003, and IEEE Std 802b-2004)
Author: IEEE Std 802d-2017 (Amendment to IEEE Std 802-2014)
Author: Operation of Distributed Energy Resources in Smart Distribution Networks
Author: Kazem ZarePublisher: Academic Press
ISBN: 0128148926
Category : Technology & Engineering
Languages : en
Pages : 424
Book Description
Operation of Distributed Energy Resources in Smart Distribution Networks defines the barriers and challenges of smart distribution networks, ultimately proposing optimal solutions for addressing them. The book considers their use as an important part of future electrical power systems and their ability to improve the local flexibility and reliability of electrical systems. It carefully defines the concept as a radial network with a cluster of distributed energy generations, various types of loads, and energy storage systems. In addition, the book details how the huge penetration of distributed energy resources and the intermittent nature of renewable generations may cause system problems. Readers will find this to be an important resource that analyzes and introduces the features and problems of smart distribution networks from different aspects. - Integrates different types of elements, including electrical vehicles, demand response programs, and various renewable energy sources in distribution networks - Proposes optimal operational models for the short-term performance and scheduling of a distribution network - Discusses the uncertainties of renewable resources and intermittent load in the decision-making process for distribution networks
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