TY  - EJOU
AU  - Mahendra, Luki Septya 
AU  - Delfianti, Rezi 
AU  - Nisa, Karimatun 
AU  - Sutedjo, 
AU  - Mustaqim, Bima 
AU  - Harsito, Catur 
AU  - Syahroni, Rafiel Carino 

TI  - Security-Constrained Optimal Power Flow in Renewable Energy-Based Microgrids Using Line Outage Distribution Factor for Contingency Management
T2  - Energy Engineering

PY  - 2025
VL  - 122
IS  - 7
SN  - 1546-0118

AB  - Ensuring the reliability of power systems in microgrids is critical, particularly under contingency conditions that can disrupt power flow and system stability. This study investigates the application of Security-Constrained Optimal Power Flow (SCOPF) using the Line Outage Distribution Factor (LODF) to enhance resilience in a renewable energy-integrated microgrid. The research examines a 30-bus system with 14 generators and an 8669 MW load demand, optimizing both single-objective and multi-objective scenarios. The single-objective optimization achieves a total generation cost of $47,738, while the multi-objective approach reduces costs to $47,614 and minimizes battery power output to 165.02 kW. Under contingency conditions, failures in transmission lines 1, 22, and 35 lead to complete power loss in those lines, requiring a redistribution strategy. Implementing SCOPF mitigates these disruptions by adjusting power flows, ensuring no line exceeds its capacity. Specifically, in contingency 1, power in channel 4 is reduced from 59 to 32 kW, while overall load shedding is minimized to 0.278 MW. These results demonstrate the effectiveness of SCOPF in maintaining stability and reducing economic losses. Unlike prior studies, this work integrates LODF into SCOPF for large-scale microgrid applications, offering a computationally efficient contingency management framework that enhances grid resilience and supports renewable energy adoption.
KW  - Contingency; LODF; optimal power flow; smart grid; solar power

DO  - 10.32604/ee.2025.063807