TY - JOUR
T1 - Network Hardening and Optimal Placement of Microgrids to Improve Transmission System Resilience
T2 - A Two-stage Linear Program
AU - Jalilpoor, Kamran
AU - Oshnoei, Arman
AU - Mohammadi-Ivatloo, Behnam
AU - Anvari-Moghaddam, Amjad
PY - 2022
Y1 - 2022
N2 - This paper aims to develop a linear two-stage optimization problem based on an attacker-defender resilient planning (AD-RP) model to improve the power system's operational and infrastructural resilience in the face of low-probability high-impact events. In the developed model, attackers are natural phenomena that can cause the most severe damage to system performance, and defenders are actions that minimize system vulnerabilities. In the first stage, a stochastic model depending on Monte-Carlo simulation is developed to present a new index for selecting the most vulnerable transmission system components. This index is designed based on combining the worst possible case of attack, disaster statistical analysis, system structure and fragility curves. In the second stage, as defense operations, the hardening of vulnerable lines and microgrids placement in the proper places are carried out considering investment budget constraints. Minimizing load shedding and ensuring the resilience of the transmission network are the main objectives behind the second stage. In this regard, a comprehensive metric for the evaluation of the transmission system resilience is introduced. Thanks to a mixed-integer programming problem, the effectiveness of the proposed AD-RP model in increasing system resilience is demonstrated in the IEEE 30-bus and 118-bus test systems.
AB - This paper aims to develop a linear two-stage optimization problem based on an attacker-defender resilient planning (AD-RP) model to improve the power system's operational and infrastructural resilience in the face of low-probability high-impact events. In the developed model, attackers are natural phenomena that can cause the most severe damage to system performance, and defenders are actions that minimize system vulnerabilities. In the first stage, a stochastic model depending on Monte-Carlo simulation is developed to present a new index for selecting the most vulnerable transmission system components. This index is designed based on combining the worst possible case of attack, disaster statistical analysis, system structure and fragility curves. In the second stage, as defense operations, the hardening of vulnerable lines and microgrids placement in the proper places are carried out considering investment budget constraints. Minimizing load shedding and ensuring the resilience of the transmission network are the main objectives behind the second stage. In this regard, a comprehensive metric for the evaluation of the transmission system resilience is introduced. Thanks to a mixed-integer programming problem, the effectiveness of the proposed AD-RP model in increasing system resilience is demonstrated in the IEEE 30-bus and 118-bus test systems.
KW - Transmission System Resilience
KW - Natural Phenomenon
KW - Microgrids
KW - Network Hardening
UR - http://www.scopus.com/inward/record.url?scp=85129513655&partnerID=8YFLogxK
U2 - 10.1016/j.ress.2022.108536
DO - 10.1016/j.ress.2022.108536
M3 - Journal article
SN - 0951-8320
VL - 224
SP - 1
EP - 16
JO - Reliability Engineering & System Safety
JF - Reliability Engineering & System Safety
M1 - 108536
ER -