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The most severe failures in power grids are often characterized as cascading failures where an initial event triggers consequent failures all along the grid often leading to blackouts. Upon identifying a failure and its cascade potential, timely control actions should be performed by the grid operators to mitigate the effect of the cascade. These actions have to be delivered to one or more control devices, creating a dependency between the power grid and its control network. This paper examines the dependency of the operation of the power grid on the control network. Different from literature studies on failure control, our dependency model captures the impact of networking parameters. We formulate an algorithmic model that describes the impact of this dependency on cascade control. Based on this model, we propose an efficient cascade control algorithm using load shedding with consideration of delays in the communication network for power grids. Finally, we evaluate the impact of the power-communication network dependency with uncontrolled grids, ideal/simple control grids and our proposed control scheme. The results demonstrate that the proposed algorithm can significantly reduce the failure of power lines while sustaining larger power demand for users.

This paper reports the generalized results of computer simulation of physical processes at a rotor-disk film evaporating plant. Optimization of the operation mode cannot be achieved without establishing patterns in the course of physical processes. We have proposed a computer model of hydrodynamics that accounts for all the features, initial and boundary conditions. The results of computer simulations make it possible to adequately assess the effectiveness of using a rotor-disk film evaporating plant (RDFVP) for the concentration of heat-labile materials. We have established patterns in the course of physical processes within a structure of RDFVP by using computer simulation of hydrodynamics in the programming environment ANSYS and applying a k-e turbulence model. The result of simulation is the derived velocity fields of the concentrated fluid (w max =0.413 m/s) and the gas phase (w max =8.176 m/s), as well as the magnitude of values for shear stress τ=0.94·10 -6 Pa. It was established that the gas heat-carrier is characterized by the highly-turbulent flows with maximum values for kinetic energy TKE max =8.985·10 -1 m 2 /s 2 . The reliability of results is ensured by the correctness, completeness, and adequacy of physical assumptions when stating the problem and while solving it using the computer aided design system ANSYS. It has been established that the proposed structure is an effective alternative to equipment for the concentration of solutions. The data obtained could be used when designing heat-and-mass-exchange equipment for the highly efficient dehydration of thermolabile materials

Abstract Protection devices are designed to provide high sensitivity to transients produced by undesirable conditions like lightning stroke, avoiding their operation under all tolerable events like switching operations. The problem of incorrect operation due to transient phenomena can be handled by two means, one is to allow the transients and provide additional logics in the relay, other means is to damp the oscillation from source side. Protection relays’ not always must trip or send a trip signal and sometimes, only an alarm is necessary. In this context, this research presents a fast and reliable formulation for transmission lines (TLs) switching operations and lightning strokes detection and identification. The proposed methodology is based on Principal Component Analysis (PCA) and Euclidean Norm (EN); by using PCA it is possible to determine that normal operation signals describe a very well defined Ellipsoidal Pattern (EP). In this manner, by calculating the Euclidean Norm (EN) among Principal Components (PCs) for each sample and the origin of the reference Ellipsoidal Pattern, switching operations and lightning strokes are detected and identified. Test results show that the proposed algorithm presents high success on phenomena detection and identification, presenting a high potential for online applications.

The article presents analysis results in the reconstruction of the tectonic conditions dynamics for the formation of local plicative deformations and rupturing under conditions of the research both the macrostructure and its local separation using the example of the southwestern area of Kalmius-Toretska kettle-hole in the Donetsk basin. Authors applied the scientific cognition method, representing a sequence of actions to establish structural links between variables and constant elements of the Investigational tectonic system, based on statistical and mathematical methods of analysis. The characteristics of the anticlinal structure formation in the studied area - fields of the “Butivska” mine were obtained. It was revealed that the initial horizontal attitude of rocks of the studied area was changed by a monoclinal attitude with a north-western dip and a north-east strike. Afterwards, under the conditions of tectonic near latitudinal compression and near meridional tension, anticlinal folding was formed. Then, under the influence of shear fields when the deformation mode was enhanced, a compression duplex was formed within which local echelon folding and fracture was formed - Oktiabrskyi fault #1.

Nowadays the governments of several nations must address the challenge of providing a high-quality education for all persons from the perspective of an inclusive focus. In this line, in the e-learning area exist several standards and models aimed at establishing quality guidelines or structures to certify an optimal process of development, implementation, and evaluation of Learning Objects (LO). Given that the teaching-learning process goes beyond the use of technological tools, it is necessary understanding that must exist a synergy between the technology and the methodological design used to establish an innovative and high-quality model. However, LOs have been developed to respond only to the needs and requirements presented by "standard students." For this reason, these objects have lost the universality of their purpose as well as the functionality of responding to the diverse learning needs. For these reasons, in this paper, we present a novel approach that uses ontologies and knowledge modeling to support the accessibility analysis and evaluation of learning objects. Our model extends existing ontologies such as WCAG 2.0, Schema DRD and SKOS to represent how accessibility metadata relates to the most common types of disabilities (intellectual, physical, visual, auditory, etc.). We have validated our proposal with the support of a multidisciplinary team of experts, and the achieved results are encouraging.

The use of renewable energy in Latin America has increased significantly in recent years as a result of social pressure due to the negative effects generated by the use of polluting energy. However, there is still limited empirical evidence on the effect of clean energy on the output. The objective of this research is to examine the causal link among the growth rates of sustainable energy consumption, non-sustainable energy and the real per capita output in Latin America, a region with a high potential to generate clean energy. We used Pedroni (1999) and Westerlund (2007) cointegration techniques, and Dumitrescu and Hurlin (2012) causality test to evaluate the relationship among the variables. In order to evaluate the strength of the cointegration vector, we applied the dynamic ordinary least squares for individual countries and the panel dynamic ordinary least squares model for country groups. We find robust empirical evidence that suggests that the growth rate of renewable energy consumption, non-renewable energy and the rate of growth of real per capita output have a short-term and long-term equilibrium relationship. The force of the cointegration vector among the output and the renewable energy is more forceful in the countries of medium-high and medium-low incomes. The cointegration vector among the output and non-renewable energy is stronger in high-income countries. The results of the causality test suggest that renewable energy and the real per capita output have a bidirectional relationship in low-middle income countries. The output causes renewable energy in all groups of countries. Likewise, there is a unidirectional causality from the real per capita output towards non-renewable energy. One possible policy implication derived from this research is that high-income countries in the region should look for alternative sources of energy to achieve sustainable growth, and medium-high and medium-low income countries should encourage the use of energy clean, which does not limit the economic growth. Keywords: Energy. output. Cointegration. Causality. Panel data. Latin America, JEL classification: F43, P28, C23

Mathematical model for operation quality assessment of electric grid with renewable sources of energy is suggested, the given model takes into consideration balance reliability and voltage quality. The assessment of renewable sources of electric energy impact on functional preparedness of distributed electric grid to provide reliable and quality energy supply was performed, applying the developed model.