Open AccessMatching Algorithms between Investment Projects and Grid Weak Links
Author(s) -
Lixia Liu,
Chao Ma,
Dong Zhang,
Na Li,
Fei Xiao,
Jie Yang,
Yutong Ye
Publication year - 2019
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 - 10.1088/1742-6596/1314/1/012163
Subject(s) - grid , investment (military) , construct (python library) , matching (statistics) , investment value , net present value , value (mathematics) , resource (disambiguation) , mathematical optimization , computer science , power grid , power (physics) , resource allocation , algorithm , operations research , economics , microeconomics , mathematics , production (economics) , statistics , political science , computer network , geometry , politics , law , profit (economics) , physics , quantum mechanics , machine learning
This paper analyzes the weak links of the power grid from the perspectives of grid operation and future investment management of power grids. Based on the research theory, the matching algorithm of investment project and weak link of power grid is constructed based on 0-1 planning and empirical analysis is carried out. This paper construct a model based on constraints such as the maximum objective value of the net present value rate and the investment ratio, calculate and analyze the case, get the investment results, and optimize the resource allocation.