A simple load flow method for radial distribution system

Mandava, Srihari; Ramesh,; Karthikeyan, Prabhakar

doi:10.1109/icaee.2014.6838529

Cited by 4 publications

(1 citation statement)

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“…The radial part is solved by a straightforward two step procedure in which the branch currents are first computed (backward sweep) and then the bus voltages are updated (forward sweep). In [11,12] use a method to analyse the distribution system by modelling the load in exponential and polynomial form. In [13], they do a review of the forward and backward methods to do the study of power flows in distribution systems.…”

Section: Introductionmentioning

confidence: 99%

Two Algorithms for Load Flow Analysis in Balanced Radial Distribution Systems

Villafuerte¹,

Medina²,

Villafuerte³

et al. 2021

ujeee

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This paper was developed with the purpose of knowing the behavior of radial distribution systems that operate in balanced conditions. Two algorithms were used to calculate the voltage at the network nodes and with them the load flow in each line. With the application of Kirchhoff's laws of electrical circuits, a one-dimensional arrangement of order N and a two-dimensional arrangement of order Nx5 are generated, both depend on the impedances and the shunt admittances. With these two arrangements, a non-linear function f (V1, V2 ,,, VN,, Sc) was generated, which depends on the voltages Vi and the complex power Sc demanded at each node of the distribution system. These equations were solved iteratively, two methods were applied; In the first method, the Halley formula with an acceleration factor α was used to solve the non-linear function f (V1, V2 ,,, VN,, Sc), in the second method, the Gaussian method was applied in the same way that it is used for load flows in interconnected systems. The two algorithms were applied to test systems of 40, 70 and 80 nodes, obtaining results similar to those reported in the specialized literature where they make use of other solution methods. In the author's opinion, the proposed algorithms represent alternatives for the study of energy distribution systems. An advantage of the methods is that they are simple code and there are differences between them, the second method has a faster convergence.

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Section: Introductionmentioning

confidence: 99%