IET RENEWABLE POWER GENERATION, cilt.19, sa.1, ss.1-16, 2025 (SCI-Expanded)
The rising demand for electric energy and environmental pollution concerns have led tousing renewable energy-based distributed generators (DGs) in power distribution networks(PDN). However, the power flow may become bidirectional (non-radial) by introducing theDGs into the system, which may cause instability in the system’s operation. System insta-bility causes an increase in system losses and implies a rising in costs. This paper proposes amethodology using Moth Flame Optimizer and Equilibrium Optimizer to reconfigure thePDN, optimizing the siting, sizing, and power factor of multiple DGs to maintain radialmode operation. Determining DGs’ allocation within a radial system by optimizing multi-parameters simultaneously leads to minimizing losses, enhancing reliability, and improvingthe stability of the network. Thus, the number of affected customers in a catastrophicpower outage or emergency blackout scenarios can be minimized. The method has beentested on a 33-bus distribution system where four different scenarios with three cases foreach are studied to show the performance of the proposed method. The method’s effec-tiveness is demonstrated by minimizing power loss, enhancing the voltage stability index,assuring reliability, and improving the voltage profile. Moreover, the accuracy of reliabilityindex calculation results is confirmed with the commercial software ETAP.