Open AccessThe robust recovery model of distribution network considering correlation between wind speed and load
Author(s) -
Xiaohui Mei,
Chenxi Zhao,
Yan Liu,
Jianzhen Han,
Haizhou Zhao
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 - 10.1088/1742-6596/2005/1/012171
Subject(s) - control theory (sociology) , wind speed , wind power , mathematical optimization , solver , computer science , power (physics) , joint probability distribution , bivariate analysis , reliability (semiconductor) , mathematics , statistics , engineering , control (management) , physics , quantum mechanics , artificial intelligence , machine learning , meteorology , electrical engineering
In order to consider the correlation between distributed power output and load, this paper uses the value-at-risk theory to quantitatively calculate the uncertainty of wind speed and load demand, and establishes a wind speed-load joint probability distribution model using bivariate normal distribution, which will take into account the wind speed uncertainty. The robust decision-making problem of reliability and load participation is characterized as a mixed-integer linear programming problem, which takes the minimization of the equivalent load loss as the optimization goal, establishes the load recovery path as the optimization variable, and takes the wind speed and load as the disturbance variable to account for the wind speed-The load-dependent robust restoration model of the distribution network is solved by the Gurobi high-efficiency solver. Finally, the IEEE69-bus power distribution system with wind power was used to verify the effectiveness of this model and solution method.