Open AccessCalculation of Probabilistic Energy Flow of Colding-heating-electricity Interconnection System Considering Wind Power
Author(s) -
Tieyan Zhang,
Junbao Yang,
Tao Zhao,
Min Li,
Dawei Zhang,
Yuri Wang
Publication year - 2022
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 - 10.1088/1742-6596/2237/1/012030
Subject(s) - interconnection , electricity , probabilistic logic , wind power , power flow , invariant (physics) , energy flow , cluster analysis , mathematical optimization , computer science , electric power system , energy (signal processing) , environmental science , power (physics) , mathematics , engineering , electrical engineering , artificial intelligence , statistics , physics , telecommunications , thermodynamics , mathematical physics
In order to effectively evaluate the impact of wind power connection on the operation of the colding-heating-electricity interconnection system, a probabilistic energy flow calculation method based on the semi-invariant method and improved K-means is proposed. First, a colding-heating-electricity joint system model was established. Secondly, based on the semi-invariant method, an improved K-means clustering technique was proposed to solve the problems caused by different input random sample types. Finally, the efficiency of the proposed method is verified by simulation.