What is it about?
This paper gives a formulation of probabilistic-interval power flow (PIPF) while both probability variables and interval variables coexist in a distribution system. Two methods are presented for solving PIPF. The first one, which combines Latin hypercube sampling and Monte-Carlo random sampling method (LHS-MCS), is an accurate method for solving PIPF and the results are used as benchmarks for comparison. The second one, which combines affine linear three-phase power flow method and LHS method (ALTPF-LHS), is an approximate method for solving PIPF and is the main contribution of this paper.
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Why is it important?
We propose a power flow calculation method considering both probability and interval uncertainties for distribution networks.
Perspectives
I hope this article can help or inspire readers interested in distribution network power flow.
Chun Wang
Nanchang University
Read the Original
This page is a summary of: Three-phase Power Flow Calculation Considering Probability and Interval Uncertainties for Power Distribution Systems, IET Generation Transmission & Distribution, June 2019, the Institution of Engineering and Technology (the IET),
DOI: 10.1049/iet-gtd.2018.6777.
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