Service Restoration Model With Mixed-Integer Second-Order Cone Programming for Distribution Network With Distributed Generations

Fast and reliable service restoration strategy is necessary to restore as many out-of-service loads as possible in a short time. In this paper, a mixed-integer second-order cone programming formulation is proposed for service restoration of a distribution network with distributed generations (DGs)....

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Veröffentlicht in:IEEE transactions on smart grid Jg. 10; H. 4; S. 4138 - 4150
Hauptverfasser: Li, Yong, Xiao, Juanxia, Chen, Chun, Tan, Yi, Cao, Yijia
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Piscataway IEEE 01.07.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Activation
Convex optimization problem
distributed generations
Distribution management
distribution network
Flow equations
Load modeling
Mathematical model
mixed-integer second-order cone programming
Multiple objective analysis
Network topology
Networks
Optimization
Power flow
Reactive power
Reliability
Service restoration
Switches
ISSN:1949-3053, 1949-3061
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Zusammenfassung:Fast and reliable service restoration strategy is necessary to restore as many out-of-service loads as possible in a short time. In this paper, a mixed-integer second-order cone programming formulation is proposed for service restoration of a distribution network with distributed generations (DGs). This formulation relaxes the original non-convex power flow equations into a conic quadratic format. The employment of conic relaxation is of great importance because it ensures the quality of the obtained solution. The service restoration is formulated as a multi-objective optimization problem considering the minimization of de-energized loads and total number of switching operations. Moreover, PQ and PV model of DGs are considered in this formulation. The proposed method is tested on the 33-bus system and the Taiwan Power Company 84-bus system to show its effectiveness.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1949-3053
1949-3061
DOI:10.1109/TSG.2018.2850358