User-friendly tool for power flow analysis and distributed generation optimisation in radial distribution networks

Technol Econ Smart Grids Sustain Energy

Pandian

Palanivelu

2022

This paper presents an efficient power flow (PF) for distribution networks (DN). The proposed PF method uses basic circuit laws in deriving the final PF expression and appears like the classical Gauss-Seidel PF algorithm of transmission systems. It possesses the advantages of forward and backward sweeps (FBS) based PF methods but avoids the FBS and formation of a Jacobian matrix. It primarily depends on a constant transformation matrix, formed only once from the network topology and feeder parameters. The transformation matrix relates the node currents with effective feeder voltage drops, and helps to compute the node voltages directly from the given set of load powers. The proposed PF was studied on 15, 33 and 69 node DNs, and the study exhibited that the performances in terms of accuracy, robustness to different r/x ratios of distribution lines and computational efficiency of the proposed method are superior to those of existing methods.

Section: Introductionmentioning

confidence: 99%

A Simple and Efficient Power Flow for Distribution Networks

Technol Econ Smart Grids Sustain Energy

Pandian

Palanivelu

2022

“…Muruganantham et al (2016) studied the performances of both NR and FBS methods with variable load pattern and different r/x ratios of feeders, and illustrated that FBS method performed better than NR method. Akoredel et al (2017) developed a highly interactive Matlab tool for performing PF and DG optimization in DNs. Bernstein and Dall’Anese (2017) presented an AC distribution PF that linearly relates the voltages, feeder currents and powers.…”

Section: Introductionmentioning

confidence: 99%

Soccer game optimization-based power flow for distribution networks

Palanivelu

2021

COMPEL

Purpose The purpose of the paper is to develop a simple, efficient and robust power flow (PF) method for ill-conditioned distribution networks (DNs). Design/methodology/approach It first formulates the PF problem as an optimization problem of minimizing the node power mismatches, while treating the corrections of node voltages as problem variables and then uses soccer game optimization (SGO), an artificial intelligent algorithm simulating the behavior of soccer game players in scoring goals, in solving the formulated PF problem. Findings It studies the performances of the developed method on four standard test DNs and exhibits that the method is superior in respect of accuracy, robustness and computational speed than those of existing methods. Originality/value It suggests a novel and new PF method using SGO and portrays that the proposed method is as accurate as any other PF method, robust like non-Newton type of PF methods and faster than Newton type of PF methods.

“…The method considered three-phase models of transformers, lines, and loads without exploiting radial configuration of distribution systems. Akorede et al 12 presented a user-friendly software package for carrying out LF and DG optimization in distribution systems.…”

mentioning

confidence: 99%

Soccer league optimization for load flow analysis of power systems

Srilakshmi¹,

Babu²,

Int J Numerical Modelling

et al. 2021

This paper proposes a generalized soccer league optimization (SLO) based load flow (LF) method suitable for both transmission and distribution systems. The LF problem is formulated as an optimization problem of lowering the sum of squares of active and reactive power mismatches at all busses, while taking the net corrections of bus voltage angles and magnitudes as unknown decision variables. The formulated problem is then solved using SLO, a population-based algorithm imitated from the behavior of team players of soccer league competition. The performances in respect of accuracy, robustness to different line r/x ratios, and computational efficiency are studied on six standard IEEE transmission and distribution systems and the results are presented.