Power Flow Calculation in Smart Distribution Network Based on Power Machine Learning Based on Fractional Differential Equations

Abstract 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 determines network hierarchy formed by ADT stack through breadth theory. This helps us define branch sequence forward and backward generation smart distribution network. We ensure that Jacobian matrix remains unchanged grid calculation. interval model is more practical computationally simpler than point model. research results show method efficient based equation.