Back to Search Start Over

Multi-Period Resilient Model for VSC-Based AC-DC HDS Considering Public-Safety Power Shutoff to Mitigate Wildfires

Authors :
Zekai Wang
Tao Ding
Xiaosheng Zhang
Chenggang Mu
Pengwei Du
Fangxing Li
Source :
CSEE Journal of Power and Energy Systems, Vol 10, Iss 2, Pp 821-833 (2024)
Publication Year :
2024
Publisher :
China electric power research institute, 2024.

Abstract

This paper proposes a voltage source converter (VSC) -based AC-DC hybrid distribution system (HDS) resilient model to mitigate power outages caused by wildfires. Before a wildfire happens, the public-safety power shutoff (PSPS) strategy is applied to actively cut some vulnerable lines which may easily cause wildfires, and reinforce some lines that are connected to critical loads. To mitigate load shedding caused by active line disconnection in the PSPS strategy, network reconfiguration is applied before the wildfire occurrence. During the restoration period, repair crews (RCs) repair faulted lines, and network reconfiguration is also taken into consideration in the recovery strategy to pick up critical loads. Since there exists possible errors in the wildfire prediction, several different scenarios of wildfire occurrence have been taken into consideration, leading to the proposition of a stochastic multi-period resilient model for the VSC-based AC-DC HDS. To accelerate the computational performance, a progressive hedging algorithm has been applied to solve the stochastic model which can be written as a mixed-integer linear program. The proposed model is verified on a 106-bus AC-DC HDS under wildfire conditions, and the result shows the proposed model not only can improve the system resilience but also accelerate computational speed.

Details

Language :
English
ISSN :
20960042
Volume :
10
Issue :
2
Database :
Directory of Open Access Journals
Journal :
CSEE Journal of Power and Energy Systems
Publication Type :
Academic Journal
Accession number :
edsdoj.faab4f335a3451a99f2fd20095ca4ae
Document Type :
article
Full Text :
https://doi.org/10.17775/CSEEJPES.2022.05090