Power Flow Calculation in Smart Distribution Network Based on Power Machine Learning Based on Fractional Differential Equations
- Resource Type
- article
- Authors
- Ji Yuan; Yuan Jie; Qian Junfeng; Huang Liya; Khder Moaiad Ahmad
- Source
- Applied Mathematics and Nonlinear Sciences, Vol 8, Iss 1, Pp 1037-1044 (2023)
- Subject
- fractional differential equation
power distribution network
power flow calculation
smart grid
machine learning
34a08
Mathematics
QA1-939
- Language
- English
- ISSN
- 2444-8656
Based on the theory of fractional differential equations, this paper proposes a simple recursive, iterative scheme for power flow calculation in pure radial networks. The paper determines the network hierarchy formed by the ADT stack through breadth theory. This helps us define the branch sequence of the forward and backward generation in the power flow calculation of the smart distribution network. We ensure that the Jacobian matrix remains unchanged in the smart distribution grid power flow calculation. The interval model is more practical and computationally simpler than the point model. The research results show that the power flow calculation method is efficient based on the fractional differential equation.