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Published in 2020 at "Renewable Energy"
DOI: 10.1016/j.renene.2019.07.153
Abstract: Abstract In this paper, a polynomial transformation model is proposed to fit the quantile function of wind speed, a Laplace copula is developed to model the dependence structure of wind speeds at multiple sites, whereby…
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Keywords:
wind speeds;
power flow;
wind;
probabilistic power ... See more keywords
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Published in 2017 at "Iet Renewable Power Generation"
DOI: 10.1049/iet-rpg.2016.0669
Abstract: The probabilistic power flow (PPF) of active distribution networks and microgrids based on the conventional power flow algorithms is almost impossible or at least cumbersome. Always, Mont Carlo simulation is a reliable solution. However, its…
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Keywords:
probabilistic power;
power flow;
unscented transform;
power ... See more keywords
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Published in 2018 at "IEEE Transactions on Power Systems"
DOI: 10.1109/tpwrs.2018.2846203
Abstract: This paper proposes a new analytical probabilistic power flow (PPF) approach for power systems with high penetration of distributed energy resources. The approach solves probability distributions of system variables about operating conditions. Unlike existing analytical…
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Keywords:
power flow;
power;
multidimensional holomorphic;
probabilistic power ... See more keywords
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Published in 2019 at "Energies"
DOI: 10.3390/en12163088
Abstract: This paper proposes a new probabilistic power flow method for the hybrid AC/VSC-MTDC (Voltage Source Control-Multiple Terminal Direct Current) grids, which is based on the combination of ninth-order polynomial normal transformation (NPNT) and inherited Latin…
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Keywords:
power flow;
polynomial normal;
power;
probabilistic power ... See more keywords