Stochastic Optimization for Distributed Energy Resources in Smart Grids
Seiten
2017
|
1st ed. 2017
Springer International Publishing (Verlag)
978-3-319-59528-3 (ISBN)
Springer International Publishing (Verlag)
978-3-319-59528-3 (ISBN)
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.
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.
| Erscheinungsdatum | 13.07.2017 |
|---|---|
| Reihe/Serie | SpringerBriefs in Electrical and Computer Engineering |
| Zusatzinfo | IX, 76 p. 21 illus., 3 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 150 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
| Technik ► Nachrichtentechnik | |
| Schlagworte | Communications Engineering, Networks • Communications engineering / telecommunications • Computer Communication Networks • Computer Science • distributed energy resources • Energy Management • network hardware • Smart Grid • stochastic optimization • sustainability |
| ISBN-10 | 3-319-59528-8 / 3319595288 |
| ISBN-13 | 978-3-319-59528-3 / 9783319595283 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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