Stochastic Optimization for Distributed Energy Resources in Smart Grids

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This brief focuses on stochastic energy optimization for distributed energy resources in smart grids. Along with a review of drivers and recent developments towards distributed energy resources, this brief presents research challenges of integrating millions of distributed energy resources into the grid. The brief then proposes a novel three-level hierarchical architecture for effectively integrating distributed energy resources into smart grids. Under the proposed hierarchical architecture, distributed energy resource management algorithms at the three levels (i.e., smart home, smart neighborhood, and smart microgrid) are developed in this brief based on stochastic optimization that can handle the involved uncertainties in the system.


Includes supplementary material: sn.pub/extras

Inhalt
1 Hierarchical Architecture for Distributed Energy Resource Management.- 2 Optimal Energy Management for Smart Homes.- 3 Decentralized Coordination of Energy Consumption for Smart Neighborhoods.- 4 Risk-Constrained Optimal Energy Management for Smart Microgrids.<p

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783319595283
    • Auflage 1st ed. 2017
    • Lesemotiv Verstehen
    • Anzahl Seiten 76
    • Herausgeber Springer-Verlag GmbH
    • Gewicht 1474g
    • Untertitel SpringerBriefs in Electrical and Computer Engineering
    • Autor Yuanxiong Guo , Yuguang Fang , Pramod P. Khargonekar
    • Titel Stochastic Optimization for Distributed Energy Resources in Smart Grids
    • Veröffentlichung 30.06.2017
    • ISBN 978-3-319-59528-3
    • Format Kartonierter Einband
    • EAN 9783319595283
    • Jahr 2017
    • Größe H235mm x B155mm
    • Sprache Englisch

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