Neural Networks Based Load Flow Analysis Of Radial Distribution Networks
load flow studies are performed to determine the distribution system static state sat each node to find the steady
state operating condition of a distribution system. Load flow study is the most frequently carried out study used by distribution
companies for all the stages of system planning, operation and control. In this paper Radial Bias Function Networks (RBFN)
and feed forward network with back propagation algorithm are proposed to solve load flow problem under different loadings
conditions for computing node voltage magnitudes of the distribution system. The off-line load flow calculation is carried out
by network topology based three phase distribution load flow. The results of network topology based three phase distribution
load flow calculations are used to train the Radial Bias Function and feed forward network with back propagation algorithm.