Bi-level programming approach for coordinated configuration of distributed generations and automation devices in distribution networks

•The analytical expression of failure rates is derived.•The penalty cost of power shortages can be expressed as an explicit function.•A bi-level coordinated configuration programming model is built.•The bi-level model is transformed to a mixed-integer nonlinear programming problem. Improving system...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:International journal of electrical power & energy systems Ročník 133; s. 107210
Hlavní autori: Xie, Dong, Liu, Mingbo, Xu, Lixin, Lu, Wentian
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier Ltd 01.12.2021
Predmet:
Automation devices
Bi-level programming
Coordinated configuration
Distributed generation
Distributed generation
Automation devices
Bi-level programming
Coordinated configuration
ISSN:0142-0615
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:•The analytical expression of failure rates is derived.•The penalty cost of power shortages can be expressed as an explicit function.•A bi-level coordinated configuration programming model is built.•The bi-level model is transformed to a mixed-integer nonlinear programming problem. Improving system reliability and voltage profiles in distribution networks requires the simultaneous installation of distributed generations and automation devices. This paper builds a bi-level programming model for the coordinated configuration of distributed generations and automation devices. The upper-level problem is to minimize the total investment cost of distributed generations and automation devices and the penalty cost of power shortages, and the lower-level problem is to minimize the voltage deviation during typical operation mode. To explicitly represent the relationship between the penalty cost of power shortages and installation locations of distributed generations and automation devices, an analytical expression of the failure rates of load nodes with respect to installation locations of distributed generations and automation devices is derived. The bi-level model can be transformed to a mixed-integer nonlinear programming problem by applying the Karush–Kuhn–Tucker theorem because the lower-level problem is a quadratically constrained linear programming problem. Case studies on an IEEE 33-bus distribution system and a practical 110-bus distribution system in China are used to verify the effectiveness of the proposed method.
ISSN:0142-0615
DOI:10.1016/j.ijepes.2021.107210