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 |
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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 | |
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 |
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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