Subsystem size optimization for efficient parallel restoration of power systems

Nuwan Ganganath; Chi Tsun Cheng; Herbert H.C. Iu; Tyrone Fernando

doi:10.1109/ISCAS.2017.8050925

Subsystem size optimization for efficient parallel restoration of power systems

Nuwan Ganganath, Chi Tsun Cheng, Herbert H.C. Iu, Tyrone Fernando

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

3 Citations (Scopus)

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.

Original language	English
Title of host publication	IEEE International Symposium on Circuits and Systems
Subtitle of host publication	From Dreams to Innovation, ISCAS 2017 - Conference Proceedings
Publisher	IEEE
ISBN (Electronic)	9781467368520
DOIs	https://doi.org/10.1109/ISCAS.2017.8050925
Publication status	Published - 25 Sep 2017
Event	50th IEEE International Symposium on Circuits and Systems, ISCAS 2017 - Baltimore, United States Duration: 28 May 2017 → 31 May 2017

Conference

Conference	50th IEEE International Symposium on Circuits and Systems, ISCAS 2017
Country/Territory	United States
City	Baltimore
Period	28/05/17 → 31/05/17

Keywords

agglomerative clustering
blackout
constrained optimization
Network partitioning
parallel power system restoration

ASJC Scopus subject areas

Electrical and Electronic Engineering

More information

10.1109/ISCAS.2017.8050925

Cite this

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title = "Subsystem size optimization for efficient parallel restoration of power systems",

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.",

keywords = "agglomerative clustering, blackout, constrained optimization, Network partitioning, parallel power system restoration",

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Ganganath, N, Cheng, CT, Iu, HHC & Fernando, T 2017, Subsystem size optimization for efficient parallel restoration of power systems. in IEEE International Symposium on Circuits and Systems: From Dreams to Innovation, ISCAS 2017 - Conference Proceedings., 8050925, IEEE, 50th IEEE International Symposium on Circuits and Systems, ISCAS 2017, Baltimore, United States, 28/05/17. https://doi.org/10.1109/ISCAS.2017.8050925

Subsystem size optimization for efficient parallel restoration of power systems. / Ganganath, Nuwan; Cheng, Chi Tsun; Iu, Herbert H.C. et al.

IEEE International Symposium on Circuits and Systems: From Dreams to Innovation, ISCAS 2017 - Conference Proceedings. IEEE, 2017. 8050925.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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T1 - Subsystem size optimization for efficient parallel restoration of power systems

AU - Ganganath, Nuwan

AU - Cheng, Chi Tsun

AU - Iu, Herbert H.C.

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Y1 - 2017/9/25

N2 - 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.

AB - 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.

KW - agglomerative clustering

KW - blackout

KW - constrained optimization

KW - Network partitioning

KW - parallel power system restoration

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M3 - Conference article published in proceeding or book

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PB - IEEE

T2 - 50th IEEE International Symposium on Circuits and Systems, ISCAS 2017

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ER -

Subsystem size optimization for efficient parallel restoration of power systems

Abstract

Conference

Keywords

ASJC Scopus subject areas

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