Mixed-Integer Nonlinear Programming Formulation for Distribution Networks Reliability Optimization

An optimal placement of protective devices could increase the reliability and quality level of a distribution network. An innovative mixed-integer nonlinear programming model is proposed in this paper to find the type, optimal siting, and number of protective devices to be accurately installed in di...

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Vydáno v:IEEE transactions on industrial informatics Ročník 14; číslo 5; s. 1952 - 1961
Hlavní autoři: Heidari, Alireza, Dong, Zhao Yang, Zhang, Daming, Siano, Pierluigi, Aghaei, Jamshid
Médium: Journal Article
Jazyk:angličtina
Vydáno: Piscataway IEEE 01.05.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Distribution management
Distribution system reliability
Fuses
Indexes
Maintenance engineering
mixed-integer nonlinear programming (MINLP)
Network reliability
Networks
Nonlinear programming
Optimization
protective device
Resource management
sectionalizing switch placement
Sensitivity analysis
Switches
Telecommunication network reliability
ISSN:1551-3203, 1941-0050
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Shrnutí:An optimal placement of protective devices could increase the reliability and quality level of a distribution network. An innovative mixed-integer nonlinear programming model is proposed in this paper to find the type, optimal siting, and number of protective devices to be accurately installed in distribution networks. The customer outage and protective devices costs are considered to derive a value-based reliability equation. To ensure the effectiveness of the proposed formulation economic and technical constraints is considered. Further, this paper aims at aiding decision-makers in providing appropriate protective device allocation by minimizing the expected interruption cost index. Case studies are employed to demonstrate the reliability optimization of a test network and a typical real-size network in which the several cost constraints and protection schemes are assumed to extract the results. Accuracy and effectiveness of the proposed method are assessed and sensitivities analysis is carried out.
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content type line 14
ISSN:1551-3203
1941-0050
DOI:10.1109/TII.2017.2773572