Fast Searching Strategy for Critical Cascading Paths Toward Blackouts

Ma, Zhiyuan; Liu, Feng; Shen, Chen; Wang, Zhaojian; Mei, Shengwei

doi:10.1109/access.2018.2846022

Cited by 20 publications

(17 citation statements)

References 36 publications

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“…Two sub-categories are defined for electric distance-based interaction graphs based on the power grid conditions that are considered for creating the graphs. These include: (1) methods that define the interactions based on changes in the power flow due to changes in physical attributes of components caused by outage conditions [43][44][45][46][47] and (2) methods that define the interactions among components during normal or non-outage operating conditions [48][49][50][51][52][53][54][55][56][57][58][59][60][61][62][63]78]. The category of defining interactions during non-outage operating conditions is classified into two sub-categories: (i) impedance-based methods, which define interactions by considering a single impedance measure among the components connected over multiple paths [48][49][50][51][52][53][54][55][56][57][58][59] and (ii) sensitivities in components' states due to changes in voltage magnitudes and voltage phase angles [60][61][62][63]78].…”

Section: Review Methodologymentioning

confidence: 99%

Interaction Graphs for Cascading Failure Analysis in Power Grids: A Survey

et al. 2020

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Understanding and analyzing cascading failures in power grids have been the focus of many researchers for years. However, the complex interactions among the large number of components in these systems and their contributions to cascading failures are not yet completely understood. Therefore, various techniques have been developed and used to model and analyze the underlying interactions among the components of the power grid with respect to cascading failures. Such methods are important to reveal the essential information that may not be readily available from power system physical models and topologies. In general, the influences and interactions among the components of the system may occur both locally and at distance due to the physics of electricity governing the power flow dynamics as well as other functional and cyber dependencies among the components of the system. To infer and capture such interactions, data-driven approaches or techniques based on the physics of electricity have been used to develop graph-based models of interactions among the components of the power grid. In this survey, various methods of developing interaction graphs as well as studies on the reliability and cascading failure analysis of power grids using these graphs have been reviewed.

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Section: Review Methodologymentioning

confidence: 99%

Interaction Graphs for Cascading Failure Analysis in Power Grids: A Survey

et al. 2020

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“…There are two kinds of system faults, one is an erasable fault, and the other is permanent fault [20]. When the system has a fault that can be cleared, because the topology of the system has not changed, the weak connection lines obtained in the steady-state can still be used when the system is disturbed; whereas when the system has a permanent fault, the part of the fault lines needs to be cut off.…”

Section: Feasibility Analysis For Splitting the Weak Connection Linesmentioning

confidence: 99%

“…This method does not need to divide the node mode of the system, and the calculation is simpler, but there is a problem that the weak connection lines in the system cannot be accurately screened, which depends on the judgment of the network topology manually. Based on previous studies, combined with the modified cosine similarity factor clustering method and graph theory, this paper proposes an improved system of weak connection identification and screening method, which can automatically and accurately screen weak connection lines without artificial experience [19,20].…”

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confidence: 99%

Research on Transmission Network Expansion Planning Considering Splitting Control

et al. 2020

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A robust and reliable grid is one of the core elements for power network planning. Specifically, splitting is an effective way for power grid out-of-step oscillation. Since the cross-section of system out-of-step is mostly found on the weak connection lines, reducing the number of those lines can be conducive to the system partition, save the finding time of the optimal splitting cross-section, and improve the performance of the splitting control. This paper proposed an enhanced method based on slow coherence theory for weak connection lines' identification and monitoring. The ratio of the number of weak connection lines to the number of all the lines, called weak connection coefficient, is considered as a crucial factor. A bi-level programming model, which perceives the minimum connection coefficient as the optimization goal, is built for the transmission network. Additionally, a fused algorithm, consisting of Boruvka algorithm and particle swarm optimization with adaptive mutation and inertia weight, is employed to solve the proposed method in the instances of an 18-node IEEE Graver system and a practical power grid in East China. Simulation results in PSD-BPA are conducted to verify the effectiveness of the weak connection monitoring method and transmission network planning model.

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“…With the acceleration of the urbanisation in China and the increasing scale of the distribution systems, the prevention of the large‐scale outage has become a crucial issue to the reliable operation of the power grid [1–3]. In recent years, the occurrences of the substation‐complete‐shutdown accidents (SCSA), caused by faults like the trips of double‐circuit lines on the same tower and feeder, have been reported frequently [4, 5]. These accidents could easily lead to a large‐scale power outage in urban areas due to the loss of huge power supply and the consequent chain reactions.…”

Section: Introductionmentioning

confidence: 99%