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Three‐Phase Unbalance Reduction and Energy Optimization for Active Distribution Network Using Flexible Multi‐State Switch
IEEJ transactions on electrical and electronic engineering, 2024-05, Vol.19 (5), p.617-624
Jin, Yixuan
Yu, Moduo
Tai, Nengling
Duan, Ruochen
Lu, Chao
2024
Volltextzugriff (PDF)
Details
Autor(en) / Beteiligte
Jin, Yixuan
Yu, Moduo
Tai, Nengling
Duan, Ruochen
Lu, Chao
Titel
Three‐Phase Unbalance Reduction and Energy Optimization for Active Distribution Network Using Flexible Multi‐State Switch
Ist Teil von
IEEJ transactions on electrical and electronic engineering, 2024-05, Vol.19 (5), p.617-624
Ort / Verlag
Hoboken, USA: John Wiley & Sons, Inc
Erscheinungsjahr
2024
Quelle
Wiley Online Library All Journals
Beschreibungen/Notizen
Active distribution network is integrated with a large number of renewable energy sources and flexible loads such as electric vehicles(EVs). The unstable output of distributed generation and the random access to different phases cause three phase unbalance in the distribution network, which increase the energy loss and carbon emissions. Three phase unbalance reduction requires high real‐time dispatch and optimization of the power flow. This paper attempts to reduce the energy loss and carbon emission by using flexible multi‐state switch (FMSS) with optimal energy dispatch strategy. A multi‐objective optimization model is established based on second‐order cone relaxation to reduce the three‐phase unbalance and energy loss. EVs regulation strategy is proposed by analyzing their charging flexibility. A fast solution method is brought up based on second‐order cone model transformation. The effectiveness and rapidity of the method is verified by multiple cases. © 2024 Institute of Electrical Engineer of Japan and Wiley Periodicals LLC.
Sprache
Englisch
Identifikatoren
ISSN: 1931-4973
eISSN: 1931-4981
DOI: 10.1002/tee.24022
Titel-ID: cdi_proquest_journals_3039045333
Format
–
Schlagworte
active distribution network
,
Carbon
,
Distributed generation
,
Electric vehicles
,
Emissions
,
Energy
,
Energy distribution
,
energy optimization
,
flexible multi‐state switch (FMSS)
,
Optimization
,
Optimization models
,
Power flow
,
Random access
,
Reduction
,
Renewable energy sources
,
second‐order cone relaxation
,
three phase unbalance
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