Application of Newton-based load flow methods for determining steady-state condition of well and ill-conditioned power systems: A review

Karimi, Mazaher; Shahriari, A.; Aghamohammadi, Mohammad Reza; Marzooghi, Hesamoddin; Terzija, Vladimir

doi:10.1016/j.ijepes.2019.05.055

Cited by 50 publications

(28 citation statements)

References 68 publications

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“…This kind of approaches are quite robust and have found certain interest on ill-conditioned cases. However, as in the case of regularization-based methods, they may reach a nonphysical solution which lacks of interest [28]. Recently, the authors have developed various self-developed robust solvers [28,29], which arise from combination of different approaches.…”

Section: Literature Reviewmentioning

confidence: 99%

“…However, as in the case of regularization-based methods, they may reach a nonphysical solution which lacks of interest [28]. Recently, the authors have developed various self-developed robust solvers [28,29], which arise from combination of different approaches. Although this kind of techniques present good computational performance, they are not competitive with other conventional techniques in well-conditioned cases yet.…”

Section: Literature Reviewmentioning

confidence: 99%

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On the Applicability of Two Families of Cubic Techniques for Power Flow Analysis

2021

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This work presents a comprehensive analysis of two cubic techniques for Power Flow (PF) studies. In this regard, the families of Weerakoon-like and Darvishi-like techniques are considered. Several theoretical findings are presented and posteriorly confirmed by multiple numerical results. Based on the obtained results, the Weerakoon’s technique is considered more reliable than the Newton-Raphson and Darvishi’s methods. As counterpart, it presents a high computational burden. Regarding this point, the Darvishi’s technique has turned out to be quite efficient and fully competitive with the Newton’s scheme.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

On the Applicability of Two Families of Cubic Techniques for Power Flow Analysis

2021

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“…This load flow (LF) problem is solved by using various numerical computational techniques by utilizing the non-linear power injection models that are functions of bus voltage phasors and bus admittances [3]. In the literature [4], many techniques follow similar computation procedures to solve the LF problem. These techniques start with an initial guess to determine the real and reactive power injection mismatches at the nodal buses.…”

Section: Introductionmentioning

confidence: 99%

A Quasi-Oppositional Heap-Based Optimization Technique for Power Flow Analysis by Considering Large Scale Photovoltaic Generator

Vedik¹,

Rangarajan

Shiva³

et al. 2021

Energies

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Load flow analysis is an essential tool for the reliable planning and operation of interconnected power systems. The constant increase in power demand, apart from the increased intermittency in power generation due to renewable energy sources without proportionate augmentation in transmission system infrastructure, has driven the power systems to function nearer to their limits. Though the power flow (PF) solution may exist in such circumstances, the traditional Newton–Raphson based PF techniques may fail due to computational difficulties owing to the singularity of the Jacobian Matrix during critical conditions and faces difficulties in solving ill-conditioned systems. To address these problems and to assess the impact of large-scale photovoltaic generator (PVG) integration in power systems on power flow studies, a derivative-free quasi-oppositional heap-based optimization (HBO) (QOHBO) technique is proposed in the present paper. In the proposed approach, the concept of quasi-oppositional learning is applied to HBO to enhance the convergence speed. The efficacy and effectiveness of the proposed QOHBO-PF technique are verified by applying it to the standard IEEE and ill-conditioned systems. The robustness of the algorithm is validated under the maximum loadability limits and high R/X ratios, comparing the results with other well-known methods suggested in the literature. The results thus obtained show that the proposed QOHBO-PF technique has less computation time, further enhancement of reliability in the presence of PVG, and has the ability to provide multiple PF solutions that can be utilized for voltage stability analysis.

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“…In the 21st century, with the development of distributed power generation systems and smart grids, mankind has carried out a new power grid era [8][9][10][11], which obtain a series of research on smart grids, and also put forward a new perspective on smart grid security, including heavy-load attacks. The impact of the interference on the smart grid [12][13][14], the access of new energy in the smart grid, the research on the stability of smart grid have begun to be a hot spot, and the problem of voltage fluctuations including the voltage collapse limit state has been studied in depth [15][16][17], This is also the commonality of system fragility.…”

Section: Introductionmentioning

confidence: 99%

A Novel Voltage Collapse Path Analysis of Primary System Equivalent Model for Smart Grid

Gao

2021

IEEE Access

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Application of Newton-based load flow methods for determining steady-state condition of well and ill-conditioned power systems: A review

Cited by 50 publications

References 68 publications

On the Applicability of Two Families of Cubic Techniques for Power Flow Analysis

On the Applicability of Two Families of Cubic Techniques for Power Flow Analysis

A Quasi-Oppositional Heap-Based Optimization Technique for Power Flow Analysis by Considering Large Scale Photovoltaic Generator

A Novel Voltage Collapse Path Analysis of Primary System Equivalent Model for Smart Grid

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