Optimal Resource Allocation for Reducing Distribution System Risk Induced by Hurricane

Loading...
Thumbnail Image
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.
Table of content
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