Service Restoring Reconfiguration for Distribution Networks Considering Uncertainty in Available Information

The recent growth in the penetration of photovoltaic generation systems (PVs) has brought new difficulties in the operating and planning of electric power distribution networks. This is because operators of the distribution networks normally cannot monitor or control the output of the PVs, which int...

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Bibliographic Details
Published inApplied sciences Vol. 11; no. 9; p. 4169
Main Authors Takano, Hirotaka, Murata, Junichi, Morishita, Kazuki, Asano, Hiroshi
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.05.2021
Subjects
Combinatorial analysis
distribution network reconfiguration
distribution networks
Electric power
Electric power distribution
Load
Load distribution
Mathematical models
Network topologies
Optimization
Photovoltaic cells
Photovoltaics
Power supply
Reconfiguration
restoration configuration
robust optimization
Service restoration
Stochasticity
two-stage stochastic programming
Uncertainty
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Summary:The recent growth in the penetration of photovoltaic generation systems (PVs) has brought new difficulties in the operating and planning of electric power distribution networks. This is because operators of the distribution networks normally cannot monitor or control the output of the PVs, which introduces additional uncertainty into the available information that operations must rely on. This paper focuses on the service restoration of the distribution networks, and the authors propose a problem framework and its solution method that finds the optimal restoration configuration under extensive PV installation. The service restoration problems have been formulated as combinatorial optimization problems. They do, however, require accurate information on load sections, which is impractical in distribution networks with extensively installed PVs. A combined framework of robust optimization and two-stage stochastic programming adopted in the proposed problem formulation enables us to deal with the PV-originated uncertainty using readily available information only. In addition, this problem framework can be treated by a traditional solution method with slight extensions. The validity of the authors’ proposal is verified through numerical simulations on a real-scale distribution network model and a discussion of their results.
ISSN:2076-3417
2076-3417
DOI:10.3390/app11094169