Probabilistic assessment of wind turbine impact on distribution networks using linearized power flow formulation

Probabilistic assessment of wind turbine impact on distribution networks using linearized power... •Probabilistic impact of wind turbine on distribution network parameters was investigated.•A framework based on Monte Carlo simulation (MCS) method was proposed for probabilistic power flow.•High accuracy linearized power flow was suggested to reduce the computational time of MCS.•Different approaches comparison was done to validate proposed method features. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Electric Power Systems Research Elsevier

Probabilistic assessment of wind turbine impact on distribution networks using linearized power flow formulation

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Publisher
Elsevier
Copyright
Copyright © 2018 Elsevier B.V.
ISSN
0378-7796
eISSN
1873-2046
D.O.I.
10.1016/j.epsr.2018.05.001
Publisher site
See Article on Publisher Site

Abstract

•Probabilistic impact of wind turbine on distribution network parameters was investigated.•A framework based on Monte Carlo simulation (MCS) method was proposed for probabilistic power flow.•High accuracy linearized power flow was suggested to reduce the computational time of MCS.•Different approaches comparison was done to validate proposed method features.

Journal

Electric Power Systems ResearchElsevier

Published: Sep 1, 2018

References

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