Special Issue on Advances and Technologies in High Voltage Power Systems Operation, Control, Protection, and Security

The electrical demands in several countries around the world are increasing due to the huge energy requirements of prosperous economies and the human activities of modern life [...]

Nonlinear Systems of Volterra Equations with Piecewise Smooth Kernels: Numerical Solution and Application for Power Systems Operation

The evolutionary integral dynamical models of storage systems are addressed. Such models are based on systems of weakly regular nonlinear Volterra integral equations with piecewise smooth kernels. These equations can have non-unique solutions that depend on free parameters. The objective of this paper was two-fold. First, the iterative numerical method based on the modified Newton–Kantorovich iterative process is proposed for a solution of the nonlinear systems of such weakly regular Volterra equations. Second, the proposed numerical method was tested both on synthetic examples and real world problems related to the dynamic analysis of microgrids with energy storage systems.

Enhancing the safety of energy systems functioning at their digitalization

Informational safety threats have been analyzed for energy systems digitalization. It was established, it is impossible to completely eliminate the human factor in insuring cybersecurity of energy facilities being digitized. At the same time, a better understanding of how human actions affect reliability and safety will make it possible to predict the human factor influence and help to enhance safety of the power systems operation. The analysis of the digital transformation evelopment lines indicates that power generation companies have to move to more complex forms of digital management organization for all processes with due consideration of the human factor. Using the anthropocentric approach, the main factors that determine the reliability of IT employee ensuring functioning of energy systems during their digitalization, have been considered. A profile of the reliable employee, who is an empirically constructed set of qualitative characteristics inherent in personnel involved in the digital transformation of the power generation sector at all its levels.