Projects per year
Abstract
Hurricane events can cause severe consequences to the secure supply of electricity systems. This article designs a novel two-stage approach to minimize hurricane impact on distribution networks by automatic system operation. A dynamic hurricane model is developed, which has a variational wind intensity and moving path. The article then presents a two-stage resilience enhancement scheme that considers predisaster strengthening and postcatastrophe system reconfiguration. The pre-disaster stage evaluates load importance by an improved PageRank algorithm to help deploy the strengthening scheme precisely. Then, a combined soft open point and networked microgrid strategy is applied to enhance system resilience. Load curtailment is quantified considering both power unbalancing and the impact of line overloading. To promote computational efficiency, particle swarm optimization is applied to solve the designed model. A 33-bus electricity system is employed to demonstrate the effectiveness of the proposed method. The results clearly illustrate that the impact of hurricanes on load curtailment, which can be significantly reduced by appropriate network reconfiguration strategies. This model provides system operators a powerful tool to enhance the resilience of distribution systems against extreme hurricane events, reducing load curtailment.
Original language | English |
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Article number | 9115229 |
Pages (from-to) | 653 - 661 |
Number of pages | 9 |
Journal | IEEE Systems Journal |
Volume | 15 |
Issue number | 1 |
Early online date | 12 Jun 2020 |
DOIs | |
Publication status | Published - 31 Mar 2021 |
Keywords
- Electric system
- hurricane events
- load loss
- reconfiguration
ASJC Scopus subject areas
- Control and Systems Engineering
- Information Systems
- Computer Science Applications
- Computer Networks and Communications
- Electrical and Electronic Engineering
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Dive into the research topics of 'A Two-Stage Resilience Enhancement for Distribution Systems Under Hurricane Attacks'. Together they form a unique fingerprint.Projects
- 1 Finished
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Fellowship - Multi-Vector Energy Distribution System Modelling and Optimisation with Integrated Demand Side Response
Gu, C. (PI)
Engineering and Physical Sciences Research Council
1/09/14 → 31/08/17
Project: Research council