z-logo
open-access-imgOpen Access
Mitigating Cascading Failures by Enhancing N-2 security Using a Unified Preventive-Corrective Generation Rescheduling Approach
Author(s) -
A.H. Ramezani,
M.R. Aghamohammadi,
A.R. Sobbouhi
Publication year - 2025
Publication title -
ieee access
Language(s) - English
Resource type - Magazines
SCImago Journal Rank - 0.587
H-Index - 127
eISSN - 2169-3536
DOI - 10.1109/access.2025.3596142
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom