An online line switching methodology with look-ahead capability to alleviate power system overloads based on a three-stage strategy

Shen, Zhengwei; Chiang, Hsiao‐Dong; Tang, Yong; Zhou, N.

doi:10.1016/j.ijepes.2019.105500

Cited by 20 publications

(6 citation statements)

References 21 publications

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“…Due to the promising results obtained, MIP should be taken into account and deeply explored for PF calculation of realistic large-scale ill-conditioned systems. In that sense, its suitability in other related problems like the Continuation Power Flow [36] or contingency analysis [65] should be analysed in future works. Maybe, the main issue relative to the PF calculation using MIP is its local convergence, which entails sensitivity with respect the initial guess 0 .…”

Section: Discussionmentioning

confidence: 99%

Mann-Iteration Process for Power Flow Calculation of Large-Scale Ill-Conditioned Systems: Theoretical Analysis and Numerical Results

et al. 2021

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Power Flow solution of realistic ill-conditioned systems has recently attracted huge attention. Nevertheless, there are still some gaps in this field. For example, most of available references do not provide exhaustive theoretical analysis about convergence properties of proposed approaches. In addition, efficient solution of large-scale ill-conditioned systems is still an open topic. This paper tackles these issues by comprehensively studying the suitability of the Mann Iteration Process for the solution of ill-conditioned systems. A comprehensive theoretical analysis is provided, from which is demonstrated that the Mann Iteration Process has with asymptotic stability, may achieve a high convergence rate and constitutes a robust methodology, improving the contractive properties of the Newton-Raphson method. Moreover, some interesting links with other Power-Flow approaches are obtained as by-product. Several numerical experiments serve to confirm the theoretical findings and to compare the performance of the Mann Iteration Process with other well-known PF solvers. In all cases, the results obtained with the Mann Iteration Process are superior to that obtained using other methodologies, being able to efficiently solve various large-scale ill-conditioned systems.INDEX TERMS power-flow analysis, ill-conditioned systems, large-scale systems, Mann iteration process

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Section: Discussionmentioning

confidence: 99%

Mann-Iteration Process for Power Flow Calculation of Large-Scale Ill-Conditioned Systems: Theoretical Analysis and Numerical Results

et al. 2021

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“…The notion of OTS was introduced by [9]. The literature has shown that OTS has economic benefits [10], [11], reduce operational cost [12]- [14], relieve network congestion [15]- [20], alleviate system overloads [21], serve as a corrective mechanism for reducing voltage violations [22]- [27], and improve system reliability [28], [29]. However, the problem of OTS is a non-convex combinatorial problem, which is NP-hard and difficult to solve [30]- [34].…”

Section: Figure 1 Applications Of Transmission Switching In Literaturementioning

confidence: 99%

The Role of Optimal Transmission Switching in Enhancing Grid Flexibility: A Review

et al. 2023

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The integration of variable renewable energy sources (RES) into power grids has resulted in a more complex operating environment for power system operators (SO), necessitating the need for increased grid flexibility. This is crucial for utilities, as the cost-effective utilization of existing infrastructure is necessary, given the prolonged construction period and high investment costs associated with building new power delivery facilities. Under the umbrella of smart grid, optimal transmission switching (OTS) is a cost-effective transmission technology that can alleviate concerns related to network congestion, limited transmission capacity, and high penetration of renewables. OTS is a concept that is integrated into the optimal power flow (OPF) problem such that it provides SO the choice to temporarily switch one or more lines out of service from the network. OTS is shown in the literature to have economic benefits, reduce operational cost, relieve network congestion, serve as a corrective mechanism for reducing voltage violations, improve system reliability, and minimize system loss. Despite the significant attention given to OTS by researchers over the past decade, no extensive review paper exists on the topic in the literature. Therefore, this paper provides a state-of-the-art overview of the OTS problem. The concept of OTS is explained by approximating the alternating current OPF problem into a linear direct current OPF problem. Various alternative models of the OTS problem proposed in the literature are discussed. The paper also analyzes the interaction between OTS and other flexibility options such as Dynamic thermal rating (DTR), Energy storage systems (ESS), and RES. Furthermore, the paper presents the general framework and impact of the short-term OTS problem on long-term expansion planning problems. Finally, an extensive literature review on the impact of OTS on system reliability is provided.

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“…One of the many barriers to the wide application of the existing robust PF approaches is their high computational complexity, making them impractical for some applications such as security analysis [53]. In this regard, it is necessary to compare the total computational time required by the developed techniques and the other robust solvers.…”

Section: Computational Costmentioning

confidence: 99%

On Optimal Settings for a Family of Runge–Kutta-Based Power-Flow Solvers Suitable for Large-Scale Ill-Conditioned Cases

Tostado‐Véliz

Alharbi

et al. 2022

Mathematics

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Growing demand, interconnection of multiple systems, and difficulty in upgrading existing infrastructures are limiting the capabilities of conventional computational tools employed in power system analysis. Recent studies manifest the importance of efficiently solving well- and ill-conditioned Power-Flow cases in a modern power-system paradigm. While the well-conditioned cases are easily solvable using standard methods, the ill-conditioned ones suppose a challenge for such solvers. In this regard, methods based on the Continuous Newton’s principle have demonstrated their ability to address ill-conditioned cases with acceptable efficiency. This paper demonstrates that the approaches proposed so far do not extract the best numerical properties of such solvers. To fill this gap, an optimization framework is proposed by which the parameters involved in the two-stage Runge–Kutta-based solvers are appropriately set, so that the stability and convergence order of the numerical mapping are maximized. By using the developed optimization technique, three solvers with quadratic, cubic, and 4th order of convergence are developed. The new proposals are tested on a variety of large-scale ill-conditioned cases. Results obtained were promising, outperforming other conventional and robust approaches.

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An online line switching methodology with look-ahead capability to alleviate power system overloads based on a three-stage strategy

Cited by 20 publications

References 21 publications

Mann-Iteration Process for Power Flow Calculation of Large-Scale Ill-Conditioned Systems: Theoretical Analysis and Numerical Results

Mann-Iteration Process for Power Flow Calculation of Large-Scale Ill-Conditioned Systems: Theoretical Analysis and Numerical Results

The Role of Optimal Transmission Switching in Enhancing Grid Flexibility: A Review

On Optimal Settings for a Family of Runge–Kutta-Based Power-Flow Solvers Suitable for Large-Scale Ill-Conditioned Cases

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