Open AccessResearch on Probabilistic Power Flow Calculation of DC Distribution Network
Author(s) -
E.I.H. Lin,
Xiao Yong Yu,
Ma Zhen,
Ye Zhu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1887/1/012037
Subject(s) - probabilistic logic , computer science , power (physics) , renewable energy , wind power , ac power , mathematical optimization , grid , electronic engineering , electrical engineering , control theory (sociology) , voltage , mathematics , engineering , physics , control (management) , quantum mechanics , artificial intelligence , geometry
With the development of distributed power sources based on wind power and photovoltaics and the increase of DC loads, DC power grids have attracted more and more attention. Compared with the AC distribution network, the DC distribution network can save a lot of commutation links while absorbing a large amount of renewable energy and DC load, reducing losses and improving economic benefits. This paper combines the probabilistic power flow calculation method based on the three-point estimation method and the Nataf inverse transform used in the AC power grid with the DC power flow model, and proposes a method suitable for the probabilistic power flow calculation of the DC distribution network. Comparing the results and analyzing the in fluence of the load distortion rate and the increase in the capacity of new energy absorbed on the calculation error of the estimation method, it demonstrates the accuracy and effectiveness of the calculation method in this paper.