Optimal Resource Allocation for Reducing Distribution System Risk Induced by Hurricane

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Paper number

898

Working Group Number

Conference name

CIRED 2019

Conference date

3-6 June 2019

Conference location

Madrid, Spain

Peer-reviewed

Yes

Short title

Convener

Authors

ZHANG, HANG, Guangzhou Power Supply Bureau Co.- Ltd., China
GAN, LIN, Guangzhou Power Supply Bureau Co. Ltd., China
MO, WENXIONG, Guangzhou Power Supply Bureau Co. Ltd., China
WANG, HONGBIN, Guangzhou Power Supply Bureau Co. Ltd., China
QIN, YU, Guangzhou Power Supply Bureau Co. Ltd., China
LUO, LINHUAN, Guangzhou Power Supply Bureau Co. Ltd., China
HE, JIAXING, Guangzhou Power Supply Bureau Co. Ltd., China
YANG, ZEJUN, Tsinghua University, China

Abstract

Preventive measures to reduce the risk of large-scale blackouts caused by natural disasters are necessary. This paper focuses on the resource allocation problem in distribution systems before a coming hurricane. The probability evaluation model of critical load service failure is developed. Emergency resources such as crews, materials, and equipment are considered for allocation, which is essential for hurricane preparedness and post-disaster repairing in terms of critical loads. An evaluation method of outage risks is introduced with considering the intensity and path of the coming hurricane. Due to the uncertainties of system failures, the allocation optimization is formulated into a dynamic Mixed-Integer Nonlinear Programming(MINP). Numerical simulations are performed on the IEEE 33-node feeder with 3 dispatch centers under several scenarios to validate the proposed method. Simulation results show that the risk is largely decreased through the proposed allocation strategy.

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Keywords

Publisher

AIM

Date

2019-06-03

Permanent link to this record

https://cired-repository.org/handle/20.500.12455/190
http://dx.doi.org/10.34890/368

ISSN

2032-9644

ISBN

978-2-9602415-0-1