Frequency instability caused by symmetrical and asymmetrical faults in a microgrid can
cause significant oscillations and deviations from the nominal frequency. Therefore, there is …

Currently, applications of the algorithms based on artificial intelligence (AI) principles can be
observed in various fields. This can be also noticed in the wide area of electrical drives …

This study proposes an enhanced Kepler Optimization (EKO) algorithm, incorporating
fractional-order components to develop a Proportional-Integral-First-Order Double …

Solar radiation has important impacts on buildings such as for cooling/heating load
forecasting, energy consumption forecasting, and multi-energy complementary optimization …

Modern electrical networks, particularly microgrids, have seen a sharp rise in acquiring non‐
conventional sources. The inertia of the microgrid decreases drastically because RESs have …

In modern power systems, there is a greater penetration of renewable sources, resulting in
the expansion of microgrid. By implementing RES instead of conventional synchronous …

The multi-area multi-source power system (MAMSPS), which uses a variety of power
sources including gas, hydro, thermal, and renewable energy, has recently been …

Abstract Neural Network Algorithms (NNAs), modeled after the workings of biological
neurons, are increasingly utilized in areas like data mining and robotics to address complex …

Load frequency control (LFC) serves as a crucial component of automatic generation control
in renewable energy power systems. Its primary objective is to maintain a balance between …

Modern renewable energy power system designs provide significant application benefits,
but they also produce losses. The total generation, total load demand, and system losses …