Determination of sectionalising strategies for parallel power system restoration: A spectral clustering-based methodology

Quirós-Tortós, Jairo; Wall, Peter; Ding, Lei; Terzija, Vladimir

doi:10.1016/j.epsr.2014.07.005

Cited by 56 publications

(96 citation statements)

References 15 publications

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“…[35] proposes an optimization model for optimal sectionalization of restoration subsystems with a special emphasis on the coordination of generator ramping and the pickup of critical loads. A methodology based on constrained spectral clustering uses the physical and inherent properties of the network to determine a suitable sectionalization strategy in [36]. The dynamic restoration partition method adapts to deal with different scenarios after the blackout.…”

Section: Sectionalization Strategymentioning

confidence: 99%

Power system restoration: a literature review from 2006 to 2016

Liu

Fan

Terzija

2016

J. Mod. Power Syst. Clean Energy

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237

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Power system restoration has attracted more attention and made great progress recently. Research progress of the power system restoration from 2006 to 2016 is reviewed in this paper, including black-start, network reconfiguration and load restoration. Some emerging methods and key techniques are also discussed in the context of the integration of variable renewable energy and development of the smart grid. There is a long way to go to achieve automatic self-healing in bulk power systems because of its extreme complexity. However, rapidly developing artificial intelligence technology will eventually enable the step-by-step dynamic decision-making based on the situation awareness of supervisory control and data acquisition systems (SCADA) and wide area measurement systems (WAMS) in the near future.

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Section: Sectionalization Strategymentioning

confidence: 99%

Power system restoration: a literature review from 2006 to 2016

Liu

Fan

Terzija

2016

J. Mod. Power Syst. Clean Energy

Self Cite

237

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“…Although this method classifies the network based on the load flow properties of the bus, it lacks the ability to consider the network as a physical entity while doing the partitioning. Spectral clustering is more preferable because of its ability to consider the physical properties of the network in clustering [3] [4] [5]. Eigenvectors of the network matrix are also proper measures in finding the groups of vertices in which the edge density is higher than the average [6].…”

Section: Introductionmentioning

confidence: 99%

System Vulnerability Analysis Using Graph Pathfinding Strategies in Partitioned Networks

Rad¹,

Gharghabi²,

Rahmani³

et al. 2017

JPEE

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In this paper, a new method has been introduced to find the most vulnerable lines in the system dynamically in an interconnected power system to help with the security and load flow analysis in these networks. Using the localization of power networks, the power grid can be divided into several divisions of sub-networks in which, the connection of the elements is stronger than the elements outside of that division. By using our proposed method, the probable important lines in the network can be identified to do the placement of the protection apparatus and planning for the extra extensions in the system. In this paper, we have studied the pathfinding strategies in most vulnerable line detection in a partitioned network. The method has been tested on IEEE39-bus system which is partitioned using hierarchical spectral clustering to show the feasibility of the proposed method.

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“…Moreover, it is also necessary to ensure correct operation of each partition via continuous monitoring from a power system control centre [4], [5]. Thus, finding a desirable partitioning strategy becomes an optimization problem under complex conditions.…”

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confidence: 99%

“…In [5], a strategy based on spectral graph clustering for determining a suitable network partitioning strategy is proposed. This strategy uses the physical and inherent properties of the network with the maximum electrical cohesiveness within the partitions created.…”

mentioning

confidence: 99%

“…However, this strategy ignores the requirements on voltage stability and synchronization, thus its practical importance is questionable. Many existing partitioning strategies [4], [5], [14] are designed for partitioning network into only two partitions. If more than two partitions are required, those strategies should be repetitively executed on partitions that carry more than one black-start generators.…”

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confidence: 99%

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Agglomerative Clustering-Based Network Partitioning for Parallel Power System Restoration

Ganganath

Wang

Xu³

et al. 2018

IEEE Trans. Ind. Inf.

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Abstract-After a blackout, it is essential to restore the blackout area rapidly to minimize possible losses. In parallel restoration, the blackout area is first partitioned into several subsystems which will then be restored in parallel to accelerate the restoration process. In order to ensure restoration reliability, each subsystem should have enough generation power and satisfy a set of constraints before triggering the parallel restoration process. This paper models this as a constrained optimization problem and proposes a partitioning strategy to solve it in three steps. In the first step, some existing methods and expert knowledge are used for initialization of partitioning process. The second step ensures the satisfaction of modelled constraints. The third step operates greedily to find suitable partitions for parallel restoration. The proposed strategy is implemented and evaluated on IEEE 39-and 118-bus power systems. Evaluation results show that it provides adequate subsystems for parallel restoration. Unlike some existing partitioning strategies, the proposed strategy can be used to partition a power system into multiple subsystems in a single execution.

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Determination of sectionalising strategies for parallel power system restoration: A spectral clustering-based methodology

Cited by 56 publications

References 15 publications

Power system restoration: a literature review from 2006 to 2016

Power system restoration: a literature review from 2006 to 2016

System Vulnerability Analysis Using Graph Pathfinding Strategies in Partitioned Networks

Agglomerative Clustering-Based Network Partitioning for Parallel Power System Restoration

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