This paper proposes a new methodology based on the combination of symbiosis organism
search (SOS) and neural network algorithm (NNA), named SOS-NNA, for the optimal …

Manta Ray Foraging Optimization Algorithm (MRFO) is a new bio-inspired, meta-heuristic
algorithm. MRFO algorithm has been used for the first time to optimize a multi-objective …

Optimal allocation problem of distribution network (OAPDN), which attracts much attention of
electric enterprise, contributes to the flexible and environmental-friendly power supply by …

As a result of various loads, including critical installations (industries, nuclear facilities, etc.),
electrical distribution networks (EDNs) must operate safely and sustainably in order to …

Stochastic nature of load demand has a great impact on the performance of electrical power
system. As a result, planning of electrical power system considering load uncertainties …

Structural health monitoring is an important research field being investigated around the
globe. In recent years, meta-heuristics are being used to solve the complex inverse problem …

Reliable droop-controlled islanded microgrids are necessary to expand coverage and
maximize renewables potential. Nonetheless, due to uncertainties surrounding renewable …

Photovoltaic distributed generation (PVDG) is a noteworthy form of distributed energy
generation that boasts a multitude of advantages. It not only produces absolutely no …

Optimal Reactive Power Dispatch (ORPD) is one of the main challenges in power system
operations. ORPD is a non-linear optimization task that aims to reduce the active power …

In today's power system design studies, autonomous and self-healing capabilities are
becoming increasingly important. Renewable energy (RE) integration, on the other hand, is …