2019 IEEE Power &Amp; Energy Society Innovative Smart Grid Technologies Conference (ISGT) 2019
DOI: 10.1109/isgt.2019.8791638
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Optimization of Virtual Power Plant Electrical Network

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Cited by 2 publications
(2 citation statements)
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“…Sosnina et al [18] considering the uncertainty of renewable energy generation in VPPs, proposed and studied the optimisation criteria of VPPs. Sosnina et al [19] proposes a VPP network optimisation algorithm for aggregating independent power systems, which optimises the VPP network by structural topology analysis and working mode stability analysis. Although the above research [17][18][19] on the topology of the VPP has achieved good results, the topology involved in the literature is static topology and cannot analyse the dynamic distributed generation.…”
Section: Nomenclaturementioning
confidence: 99%
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“…Sosnina et al [18] considering the uncertainty of renewable energy generation in VPPs, proposed and studied the optimisation criteria of VPPs. Sosnina et al [19] proposes a VPP network optimisation algorithm for aggregating independent power systems, which optimises the VPP network by structural topology analysis and working mode stability analysis. Although the above research [17][18][19] on the topology of the VPP has achieved good results, the topology involved in the literature is static topology and cannot analyse the dynamic distributed generation.…”
Section: Nomenclaturementioning
confidence: 99%
“…Sosnina et al [19] proposes a VPP network optimisation algorithm for aggregating independent power systems, which optimises the VPP network by structural topology analysis and working mode stability analysis. Although the above research [17][18][19] on the topology of the VPP has achieved good results, the topology involved in the literature is static topology and cannot analyse the dynamic distributed generation. For a VPP composed of an EV cluster, analysing the charging time flow characteristics is an important step in realising the intelligent management and control of a power system.…”
Section: Nomenclaturementioning
confidence: 99%