Mitigating Cascading Failures by Enhancing N-2 Security Using a Unified Preventive-Corrective Generation Rescheduling Approach

Although the N-1 criterion is widely applied, cascading failures and large-scale blackouts still occur in power systems. Thus, incorporating N-k (k > 1) security constraints in the Security-Constrained Optimal Power Flow (SCOPF) problem is essential, with N-2 contingencies being the most probable cause of cascading failures. However, modeling all N-2 contingencies increases the number of constraints, resulting in excessive computational burden. To address this, we propose a statistical constraint screening method that reduces the number of N-2 constraints by 75%, from 19,108 to 4,744, significantly decreasing problem size. Additionally, a closed-form LODF-based formulation is developed to evaluate N-2 post-contingency flows without network topology reconstruction. Two optimization models-separate and unified-are proposed and compared for generation rescheduling in SCOPF. Simulation results on the IEEE 39-bus system demonstrate that the unified model reduces the total preventive action cost (PAC) by up to 7,417 $/h and decreases computational time by 32%, while ensuring complete N-2 contingency security.

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Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3596142
Citations
1
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
0.73
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Mitigating Cascading Failures by Enhancing N-2 Security Using a Unified Preventive-Corrective Generation Rescheduling Approach

Ali Reza Sobbouhi, M. R. Aghamohammadi, Amirhossein Ramezani
1 citations
IEEE Access
Smart Grid Energy Management
0.73
article

Mitigating Cascading Failures by Enhancing N-2 Security Using a Unified Preventive-Corrective Generation Rescheduling Approach

Ali Reza Sobbouhi, M. R. Aghamohammadi, Amirhossein Ramezani
article en
1 citations

Abstract

Although the N-1 criterion is widely applied, cascading failures and large-scale blackouts still occur in power systems. Thus, incorporating N-k (k > 1) security constraints in the Security-Constrained Optimal Power Flow (SCOPF) problem is essential, with N-2 contingencies being the most probable cause of cascading failures. However, modeling all N-2 contingencies increases the number of constraints, resulting in excessive computational burden. To address this, we propose a statistical constraint screening method that reduces the number of N-2 constraints by 75%, from 19,108 to 4,744, significantly decreasing problem size. Additionally, a closed-form LODF-based formulation is developed to evaluate N-2 post-contingency flows without network topology reconstruction. Two optimization models-separate and unified-are proposed and compared for generation rescheduling in SCOPF. Simulation results on the IEEE 39-bus system demonstrate that the unified model reduces the total preventive action cost (PAC) by up to 7,417 $/h and decreases computational time by 32%, while ensuring complete N-2 contingency security.

IEEE AccessVol. 13
Shahid Beheshti University (IR)
Climate action
Openalex Percentile: Top 25%
Smart Grid Energy Management
0.73
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