IoT Based Approach in a Power System Network for Optimizing Distributed Generation Parameters
The objective of this paper is to provide a robust Virtual Power Plant (VPP) network collaborated with Internet of Things (IoT) which uses a conceptual model to integrate each device in the grid. Based on the functionality all the devices which are purely distributed within the grid are networked in...
Gespeichert in:
Veröffentlicht in: | Computer modeling in engineering & sciences 2019-01, Vol.119 (3), p.541-558 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | The objective of this paper is to provide a robust Virtual Power Plant (VPP) network collaborated with Internet of Things (IoT) which uses a conceptual model to integrate each device in the grid. Based on the functionality all the devices which are purely distributed within the grid
are networked initially from residential units to substations and up to service data and demand centres. To ensure the trapping of the available power and the efficient transfer of Distributed Generation (DG) power to the grid Distribution Active Control (DAC) strategy is used. Synchronized
optimization of DG parameter which includes DG size, location and type are adopted using Dispatch strategy. The case studies are optimized by rescheduling the generation and with load curtailment. Maximized Customer Benefit (MCB) is taken as an objective function and a straight forward solution
is given by heuristic search techniques. This method was vindicated in a practical Indian Utility system. This control proposes better performances, ensures reliability and efficiency even under parameter variations along with disturbances which is justified using IEEE 118 bus system and real
time Indian utility 63 bus system. Results reveal that the proposed technique proves advantages of low computational intricacy. |
---|---|
ISSN: | 1526-1492 1526-1506 1526-1506 |
DOI: | 10.32604/cmes.2019.04074 |