A Robust Mixed-Integer Second-Order Cone Programming for Service Restoration of Distribution Network

Service restoration plays a vital role in improving the resiliency and reliability of distribution network. It is necessary to develop robust service restoration scheme for restoring the out-of-service loads in a short time. In this paper, a mixed-integer second-order cone programming (MISOCP) model...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:IEEE Power & Energy Society General Meeting s. 1 - 5
Hlavní autori: Xiao, Juanxia, Li, Yong, Tan, Yi, Chen, Chun, Cao, Yijia, Lee, Kwang Y.
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 01.08.2018
Predmet:
Convex optimization problem
distribution network
Load flow
Load modeling
Mathematical model
mathematical programming
mixed-integer second-order cone programming (MISOCP)
Optimization
Reliability
service restoration
Switches
Topology
ISSN:1944-9933
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:Service restoration plays a vital role in improving the resiliency and reliability of distribution network. It is necessary to develop robust service restoration scheme for restoring the out-of-service loads in a short time. In this paper, a mixed-integer second-order cone programming (MISOCP) model is proposed for the service restoration of distribution network. This model relaxes the branch power flow equations into convex second-order cone format. The employment of the convex formulations is of great significance because it ensures that the obtained solution is global optimal. The service restoration is formulated as a multi-objective optimization problem considering minimization of de-energized loads and total number of switching operations. The simulation conducted on three test systems shows that the MISOCP method can provide robust and reliable restoration schemes.
ISSN:1944-9933
DOI:10.1109/PESGM.2018.8585816