Division algorithm and interconnection strategy of restoration subsystems based on complex network theory

Lin, Zhen; Wen, Fushuan; Chung, C. Y.; Wong, K.P.; Zhou, Hao

doi:10.1049/iet-gtd.2010.0586

Cited by 51 publications

(80 citation statements)

References 30 publications

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“…In such cases, it is impossible to produce network partitions such that the generation-load difference of each partition is a positive value. Even though the proposed network partitioning strategy tries to find a cut-set that maximizes the minimum generation-load difference of all possible partitions e (11,12) , e (12,14) , e (15,17) , e (17,18) , e (22,23) , e (23,24) , e (30,38) } rather than producing some partitions with positive generationload differences and the rest with large negative generationload differences, certain partitions can still result in negative generation-load differences. In such cases, transmission system operators can either decide to repartition with a reduced α(v i ) value or not to restore non-critical loads in the partitions with negative generation-load difference as they can be restored after the synchronization of the partitions.…”

Section: Discussionmentioning

confidence: 99%

“…In [8], an ordered binary decision diagram based three-phase strategy is introduced for parallel restoration, which provides guidance to the transmission system operators on how parallel restoration could be performed. In [12], an algorithm based on the community structure in complex networks theory is presented for dividing restoration subsystems, which does not require any heuristics and expert experience.…”

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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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Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

Agglomerative Clustering-Based Network Partitioning for Parallel Power System Restoration

Ganganath

Wang

Xu³

et al. 2018

IEEE Trans. Ind. Inf.

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“…[33] presents a novel sectionalization method based on the wide area measurement system (WAMS) for the build-up strategy in power system restoration. In [34], a new method is proposed to divide systems for restoration based on the community structure of complex network theory. A modularity index is employed to evaluate the optimal number of the restoration subsystems.…”

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

228

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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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“…Here, M = 2. Cranking groups are V Edges to be excluded from the cut-set are E E = {e (26,29) , e (28,29) , e (6,11) , e (10,11) , e (13,14) , e (15,16) , e (21,22) , e (23,24) , e (5,6) , e (6,7) }. The above parameters remained the same for both strategies under test.…”

Section: Case Studiesmentioning

confidence: 99%

“…Their solution is based on an ordered binary decision diagram which provides suggestions to human operators on how to carry out the restoration procedures. Lin et al in [6] tackled the partitioning problem by exploiting complex networks properties in power systems. Their community detection-based algorithm can yield subsystems for parallel restoration without the aid of an expert system.…”

Section: Introductionmentioning

confidence: 99%

Subsystem size optimization for efficient parallel restoration of power systems

Ganganath

Cheng

et al. 2017

2017 IEEE International Symposium on Circuits and Systems (ISCAS)

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Abstract-It is essential to rapidly restore a power system after a blackout to minimize the economic losses and negative social impact. The most common approach of accelerating the restoration process is by restoring the complete network as several subsystems in parallel. Even though a parallel restoration process has obvious advantages over its sequential alternatives, sizes of the subsystems play key roles in controlling the overall restoration time. Existing network partitioning strategies for parallel restoration do not put control on the individual subsystem size. In this paper, we proposed a partitioning strategy that helps to accelerate the restoration process by minimizing the subsystem size differences. Case study results given in this paper illustrate the effectiveness of the proposed partitioning strategy in parallel restoration of the power systems.

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Division algorithm and interconnection strategy of restoration subsystems based on complex network theory

Cited by 51 publications

References 30 publications

Agglomerative Clustering-Based Network Partitioning for Parallel Power System Restoration

Agglomerative Clustering-Based Network Partitioning for Parallel Power System Restoration

Power system restoration: a literature review from 2006 to 2016

Subsystem size optimization for efficient parallel restoration of power systems

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