## 1 _Editorial_
### 1.1 _Applied_
This proposal is compared with the current-based FFC concept in different 110 kV networks with loop and radial topologies and for different short-circuit capacities of the aggregated network supply. In the field of the maintenance of electric power system devices and networks, time-based maintenance (TBM) is still widely used. Recently, many companies have gradually been introducing condition-based maintenance and its upgraded version, called reliability-centered maintenance (RCM), which considers the reliability of the entire system and not only individual elements. An RCM model is developed and tested for a transmission substation in [6], where the planning and actual performance of maintenance are carried out using an optimization algorithm. The novelty of this paper consists in its integrated treatment of all maintenance processes that are included in the pre-processing phase and used in the optimization process for reliability-centered maintenance. The proposed RCM optimization algorithm is tested and compared with a previous TBM in an existing Slovenian substation, resulting in the conclusion that RCM allows for the maintenance of the reliability and technical condition of the equipment and components while reducing maintenance costs. The extension of the Direct Torque Control (DTC) strategy to symmetrical five-phase induction machines with distributed windings in normal and faulty operation is described in [7]. Virtual voltage vectors were used to nullify the stator voltage and current components in the \(x\)-\(y\) plane. The experimental results obtained under healthy and faulty conditions (one and two open phases) show that the speed, torque, and flux references were successfully tracked in all cases. This led the authors to conclude that DTC is viable and can be extended to the case of multiphase drives, particularly when the required control goals are robustness, low computational cost, and a natural fault-tolerant capacity. In [8], the authors solve the issues of optimal supply and the purchase of reactive power in the IEEE 30-bus power system when considering voltage stability and reducing total generation and operational costs. A modified version of the artificial bee colony (MABC) algorithm is used to solve optimization problems. Additionally, its results are compared with those of an artificial bee colony algorithm, the particle swarm optimization algorithm, and a genetic algorithm. The optimization results prove that the proposed MABC algorithm has lower active power loss and reactive power cost and a better voltage profile than the other algorithms. In [9], the impact of installing photovoltaic solar panels on diesel-electric trains is analyzed in order to improve energy efficiency and reduce greenhouse gas emissions. The energy produced by the solar panels is quantified and compared with that produced by an auxiliary diesel generator during six different journeys worldwide under various solar resource potentials and meteorological weather conditions. The results reveal that the minimum annual fuel reduction of auxiliary generators provided by the solar panels was above 50% in all cases, demonstrating the feasibility of the proposal. A new type of converter for power factor correction applications, named Independent Double-Boost Interleaved Converter (IDBIC), is analyzed in [10]. It is based on three voltage levels at the output combined with interleaved operation at the input and high voltage gain. The proposed converter was tested through simulation and experimentation to highlight the overall impact of the solution, with the authors concluding that the total harmonic distortion and power factor improve near the converter-rated power. The authors also observed that the converter has better performance in terms of power quality at higher voltage gain, while its efficiency is lower at a low supply voltage.