NDLI: Bi-level network reconfiguration model to improve the resilience of distribution systems against extreme weather events

Content Provider	IET Digital Library
Author	Khomami, Masoud Sadeghi Jalilpoor, Kamran Kenari, Meghdad Tourandaz Sepasian, Mohammad Sadegh
Abstract	When a natural disaster occurs in a distribution network, a widespread power interruption may occur for a few days or weeks. This study presents a bi-level optimisation-based model for reconfiguration of the distribution network to improve the resilience of electricity distribution network against severe weather events such as storm and hurricane with the aim of minimising the cost of load outage. To achieve this, a model is first presented for evaluating the vulnerability of distribution network poles to estimate the damages imposed by the threat. Then, in the first level, according to the forecasting of possible failed lines and based on the predicted wind speed before the storm, a network reconfiguration strategy is employed to minimise the expected cost of load outage. In the second level, a new reconfiguration is carried out to restore the system loads and minimise the cost of load outage after the storm. The proposed model is then applied to a standard 33-bus radial distribution system using the GAMS software. The simulation results demonstrate the effectiveness of the proposed model in increasing network resilience and highlight the importance of network reconfiguration in the face of extreme natural disasters.
Starting Page	3302
Ending Page	3310
Page Count	9
ISSN	17518687
Volume Number	13
e-ISSN	17518695
Issue Number	Issue 15, Aug (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/13/15
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2018.6971
Journal	IET Generation, Transmission & Distribution
Publisher Date	2019-05-07
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	33-bus Radial Distribution System Bi-level Optimisation-based Model Bilevel Network Reconfiguration Model Disasters Distribution Network Distribution Network Poles Electricity Distribution Network Extreme Natural Disasters Extreme Weather Events Load Outage Natural Disaster Network Reconfiguration Strategy Network Resilience Optimisation Optimisation Technique Power Distribution Economics Power Distribution Reliability Power System Economics Power System Managemen Power System Operation Reliability Severe Weather Events Storm Storms System Load Widespread Power Interruption
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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