Smart brute-force approach for distribution feeder reconfiguration problem

•Distribution feeder reconfiguration solving with distributed generation is proposed.•Power flows at substations are minimized.•Radial configurations and branches similarities are computed.•Sub approximation of cost and configuration ranking reduce the complexity.•Application on a 123-nodes electric...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Electric power systems research 2019-09, Vol.174, p.105837, Article 105837
Hauptverfasser: Parlier, Guillaume, Guéguen, Hervé, Hu, Feihu
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:•Distribution feeder reconfiguration solving with distributed generation is proposed.•Power flows at substations are minimized.•Radial configurations and branches similarities are computed.•Sub approximation of cost and configuration ranking reduce the complexity.•Application on a 123-nodes electric grid is provided. The massive introduction of generation at the distribution level changes the electric network operation paradigm. According to the rules that govern the relationship between the distribution system operator and the transmission system operator, it becomes interesting to reconfigure the distribution system to control the power consumption and injection at each substation and to determine the switch configuration that optimizes this behaviour at substations. This paper proposes a method to solve this distribution feeder reconfiguration (DFR) problem. First, an offline computation, based on a graph-oriented approach, finds all valid radial configurations and their similarities, then, according to a load setting, a sub approximation of the operating cost is computed and used with electrical constraints detection to reduce the number of necessary load flow computations in a brute-force approach to choose the optimal configuration. This method is exemplified on a test case including 4 substations, 124 nodes, 115 uncontrolled lines and 23 switch controlled lines.
ISSN:0378-7796
1873-2046
DOI:10.1016/j.epsr.2019.04.015