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The economy is undergoing a radical transformation in all its structures, completely changing the methods of management. Changes are taking place on a global scale based on the digital technologies being implemented. The role of the state and executive authorities is being completely rethought. They are transforming themselves into “digital governments”, IT platforms, and forming their own digital structures with a list of services that are necessary for the population. In this study the following 4 directions of development of the public administration system were identified and reviewed in detail: digital reforms in the public administration system; long-term balance and sustainability of public administration; focusing on improving the quality and efficiency of public services; implementation of project management methods for the development and implementation of state programs. Based on the conducted research, current trends in public administration have been highlighted, and it was concluded that the trends in the development of modern economies include the mandatory participation of the state.

High penetration of renewable energy sources into isolated microgrids (µGs) is considered a critical challenge, as µGs’ operation at low inertia results in frequency stability problems. To solve this challenge, virtual inertia control based on an energy storage system is applied to enhance the inertia and damping properties of the µG. On the other hand, utilization of a phase-locked loop (PLL) is indispensable for measuring system frequency; however, its dynamics, such as measurement delay and noise generation, cause extra deterioration of frequency stability. In this paper, to improve µG frequency stability and minimize the impact of PLL dynamics, a new optimal frequency control technique is proposed. A whale optimization algorithm is used to enhance the virtual inertia control loop by optimizing the parameters of the virtual inertia controller with consideration of PLL dynamics and the uncertainties of system inertia. The proposed controller has been validated through comparisons with an optimized virtual inertia PI controller which is tuned utilizing MATLAB internal model control methodology and with H∞-based virtual inertia control. The results show the effectiveness of the proposed controller against different operating conditions and system disturbances and uncertainties.

In this paper, the mathematical analysis of the robot effective mass is presented. The calculation of this effective mass and its ellipsoid are included. The relationship between the robot effective mass and the external force (collision) affecting the robot end-effector is investigated. The effective mass is analyzed using different robot configurations and different end-effector positions. This analysis is conducted using 2-DOF and 3-DOF planar robots and executed using MATLAB. The results from this analysis prove that the robot effective mass depends on the its configurations and end-effector position. Effective mass can thus be considered as one of the criteria in optimizing robot kinematics and configuration.

Main characteristics and advantages of static VAR compensators (SVC) based on thyristor-switched schemes are presented. The operating features of compensator circuits when forming inductive and capacitive reactive power are considered. The reactive power regulation principles that provide the sinusoidal form of reactive current are explained on examples of operation of inductive and capacitive SVCs. The specificity of the operation of SVC control systems ensuring reliable operation in transient and steady-state working modes is discussed. The tasks of experimental research of SVC physical models are formulated. Experimental results obtained on the SVC physical models illustrating main characteristics of such devices are presented.

Technical solutions for optimizing the flame aerodynamics and the design of tangentially arranged burners in a TGMP-314 boiler are proposed. The implementation of these solutions will make it possible to achieve more reliable operation of the boiler during fuel oil combustion, smaller amount of NOx emissions during the combustion of gas and fuel oil, and a somewhat lower air excess factor in the furnace.

The development of advanced computational models for improving the accuracy of streamflow forecasting could save time and cost for sustainable water resource management. In this study, a locally weighted learning (LWL) algorithm is combined with the Additive Regression (AR), Bagging (BG), Dagging (DG), Random Subspace (RS), and Rotation Forest (RF) ensemble techniques for the streamflow forecasting in the Jhelum Catchment, Pakistan. To build the models, we grouped the initial parameters into four different scenarios (M1–M4) of input data with a five-fold cross-validation (I–V) approach. To evaluate the accuracy of the developed ensemble models, previous lagged values of streamflow were used as inputs whereas the cross-validation technique and periodicity input were used to examine prediction accuracy on the basis of root correlation coefficient (R), root mean squared error (RMSE), mean absolute error (MAE), relative absolute error (RAE), and root relative squared error (RRSE). The results showed that the incorporation of periodicity (i.e., MN) as an additional input variable considerably improved both the training performance and predictive performance of the models. A comparison between the results obtained from the input combinations III and IV revealed a significant performance improvement. The cross-validation revealed that the dataset M3 provided more accurate results compared to the other datasets. While all the ensemble models successfully outperformed the standalone LWL model, the ensemble LWL-AR model was identified as the best model. Our study demonstrated that the ensemble modeling approach is a robust and promising alternative to the single forecasting of streamflow that should be further investigated with different datasets from other regions around the world.

This paper analyzes the general issues of sectionalizing 110- and 220-kV distribution grids, including by current limiting. The results of calculations of transients in the event of various disturbances in the distribution network, taking into account the operation of emergency control devices, are presented. The results of comparative analysis of sectionalized and desectionalized distribution grids are presented. The authors hereof propose introducing a load increment safety factor to quantify how sectionalization or desectionalization could affect grid reliability. The paper further substantiates the need for accounting excess disturbances in sectionalized grids to design and implement measures to minimize accident-related losses. It analyzes the effectiveness of applying automatic load transfer (ALT) and draws recommendations on how to implement it.

The article is devoted to calculations of load on rollers of a curvilinear continuous casting machine during bending of the ingot in the levelling section. The calculation takes into account the elastic and plastic characteristics of metal and the flexibility of the roller apparatus. Determination of load on rollers together with meeting other requirements such as reducing the cooling water consumption, minimizing the energy consumption enables optimizing the technology of slab cooling in the secondary cooling zone (SCZ) and obtaining metal of the required quality.