Scientific Journal of KubSAU

The work is done in scientific and practical directions for minimization of power losses in transmission of electricity to local distribution networks between the actors of the energy (producers and consumers) of energy-saving technologies focused on technological activities such as modernization and reconstruction of networks. Quite often in various circuits of power systems, it is advisable to transfer energy and its power through intermediate (transit) nodes. Structural changes in the electricity sector, at present, are mainly associated with the introduction of market relations between the subjects of energy exchange; therefore, in this work special attention is paid to the problem of calculating the power losses, as it is nonlinearly dependent on the power at the nodes and branches of a network. It should be noted that the nodes in problems transit capacity could be both sources and consumers. The latter necessitated the need for search of possible ways to reduce transportation losses of energy due to both the improvement and optimization of distribution networks and through the use of intermediate transit nodes. It follows that the transportation problem in this formulation is more General and expands the possibilities of optimization of power losses for the local subsystems of the energy clusters. The work is composed of the transport matrix for solving problems transit capacity, where the algorithm taking into account the distinctive features of which consist in the use of continuous numbering of sources and consumers in the matrix, and any node can be a transit country. The transit capacity ii-th node Zii=0, and the dimension of the matrix in contrast to the previously considered tasks has (n+m) (n+m) and it remains square as all the transport problems of linear programming. Transit variables Xii are included in the solution of the problem with a minus sign, and all transit variables are considered basic. From the above example in the work of a number of branches of a network is minimal, which significantly reduces the cost of building and maintaining the network, and the solver minimizes the power loss between the subjects of energy exchange and, as a result to savings from the standpoint of cost of construction of the network and the management of overflows of energy in it

The article considers the most used methods and means of knowledge extraction taking into account the quality assessment of models in decision support systems. In scientific and practical terms, the possibilities of joint effective use of expert systems, data mining (IAD) and machine logical inference (MLV), which provides deeper data processing, taking into account the significant differences between databases (DB) and knowledge bases (BZ). DB is a unit of information unrelated to each other information, while BZ – not only related to each other, but also with the concepts of the world, which makes it possible to solve complex multi-criteria problems in various subject areas. Currently, increasing attention is paid to non-network technologies that have the ability to simulate nonlinear processes, work with noisy data, as well as the ability to learn and self-study, extracting essential features from the incoming information. At the same time, the integration of neural network technologies and artificial intelligence models into a single hybrid system together with the methods of logical inference in the form of a hierarchical sequence of the "If-then" rules structure significantly improves the understanding of the studied process and the quality of presentation of the result. Nevertheless, these methods and means of knowledge extraction are insufficient if the fuzzy linguistic inference mechanism is not used. The basic characteristic of fuzzy sets is the membership function, which is a generalized characteristic of a normal set. To set this feature, we use three types of shapes – triangular, trapezoidal and Gaussian type and two main procedures – phasefication and de-phaseification which is considered by the example of the method of Mamdani. Along with the stated most promising direction in this area is the adaptive gain algorithm called AdaBoost, where the limitation of the gain due to the filtering is to apply the subsampling circuit which has the normal contour of batch training, reusable training data. This provides an opportunity to work with weak models, and in the conditions of hybridization causes efficiency increase, strengthens the classifiers united in the "Committee". Each next set of classifiers is built on objects incorrectly classified by previous sets. AdaBoost is sensitive to data noise and emissions and is less susceptible to retraining, which can significantly reduce the number of examples and obtain better output in the DSS

The article presents a model for choosing a variety of alternative solutions, in which we have a subset of turns or more alternative options, based on the use of the Bayesian approach, based on the formulated concept of security functions as a priori estimate of the effects of the decision. This reduces the projected parameters and, therefore, increases the values of security. Thus, the considered indicators of data protection reflect the essence of Bayesian approach to decision making and management of GIS, so it allows to generate optimal decision rules

The work is done in a scientific and practical ways to minimize power losses in the transmission of electricity in the interregional distribution networks from the sources to the consumer by the use of tasks, ensuring the gradual improvement in the support program, not only from the standpoint of the efficiency of reduction of transported power loss, but also due to a significant decrease the complexity of the calculations. The resulting shortage of electricity power associated with its transfer to the electricity networks, has demanded the need to find possible ways of reducing the value of electricity losses during transportation, both by improving and by optimizing distribution net-works schemes. Consolidation into a single set of electrical equipment, called the power cluster is connected to the sources of power and energy consumption, make better use of new principles of control technology and the transmission of electricity, on the basis of an automated monitoring system, ensuring the redistribution of energy flows and optimize them. The process of electric power transmission and reduction in electric power loss can be considered on the basis of linear programming problems, and their modification in the form of a transportation problem, and as a result, the transport matrix. On this basis, manipulating the data table, we can find acceptable solutions, well and then determine the best of them. As examples, this work has carried out the study on the basis of the three methods - "northwest corner", the method of minimum unit cost of electricity transport, as well as the method of the potential. The use of these three methods yielded acceptable solutions, to identify the most appropriate for the number of steps carried out at the decision, to reveal that the winner is the potential cost method

The work was carried out not only in the scientific, but also in practical directions, the key part of which was the modeling of the system. Consideration of the presented modeling processes occurred on the basis of the delivered pedagogical experiment associated with the introduction in the discipline "Engineering Graphics" of a new tool for the military educational institution to obtain the final graphic design document. The purpose of the experiment included a comparative analysis of modeling tools (manual and machine) and their impact on the production of the final product (drawing). As a tool, the computer-aided design system Кompas-3D was used. The presented research was worked out in practical classes of the specified discipline, the theme of one of them was "Image of thread and threaded connections". With the help of the graphic editor Compass-3D, a model of the shaft and bushing with the specified thread profile was obtained, as well as the assembly unit based on them. The entire way of obtaining the above objects for convenience and ease of perception has been broken down into certain stages. The results of the pedagogical experiment were very satisfactory; the goal of the practical training was fully achieved

The article deals with mathematical models of management decision-making to select the option to protect the AU, based on sufficient statistical information about attacks on the AU. The amount of a priori uncertainty about the choice of protection option in GIS was described with Boltzmann's entropy. Introduction of the value within Shannon’s definition of mutual information is called the context random variables, it allows removing the uncertainty regarding the actions of the enemy, and it enables decisionmakers to choose protection options. The model of decision for choosing the type of protection of the AIS presented in the article is based on sufficient statistical information about the attacks to the system components. In the ideal case, for decision-making, we use large sample statistical data that provides high accuracy control system for protection of information. Based on the available amount of information available to the IPA, against the acts of SIN, it is possible to choose a decision on the choices you make

The article deals with the complexity of the construction of engineering theories in both scientific and practical direction based on the use of non-traditional approach to the problems of effective data monitoring, especially in the field of control systems of multicomponent representation of objects of system analysis. The study of the complexity of this issue involves a detailed consideration of the relationships of the elements of these objects on the basis of known methods, while the integration of heterogeneous knowledge obtained by such often independent methods becomes very time-consuming and poorly formalized. Currently, the processing of information and its subsequent presentation have changed significantly through the use of data mining (IAD), which includes not only the organization of the knowledge system in various missile defense, but also in the field of DSS. This, in turn, contributes to the effective formalization of fuzzy information and processing it in the form of fuzzy algorithms, which is an extension of the decision support system based on fuzzy logic – DSS NL. At the same time, it is necessary to emphasize the features of the proposed approach of the DSS NL, which is that it can be used in various missile defense systems, including for the effective analysis of statistical information of multicomponent representation of objects, which is used in determining statistical indicators to identify and assess existing and potential risks, adverse situations, as well as in the preparation of motivational grounds for managerial decision-making. For the purpose of more detailed establishment in real missile defense of the relations between objects it is offered to carry out by means of various degrees of dependence. For example, the types of graded connections are considered as fuzzy objective connections, and the use of expert systems and semantic links led to the construction of hypotheses analysis of situations and semantic relationship between them. A significant difference of the considered DSS NL is that each model is formed on the basis of a separate semantic network, and the system itself works with several models of Pro related or unrelated to each other. On the basis of the use of the concept of the relationship of proximity between concepts, belonging to the situation, its information part of the recommendations Are grouped according to the selected situation for their subsequent analysis and decision-making. On the basis of the principle of coordinating actions and construction of the function, taking into account the optimal time of the control action, the General algorithm of decision support for emergency production situations in the Pro low-rise construction, both in urban and rural areas

The work is scientific and practical in nature, same as the discussed process of optimization of power losses in power networks based on the use of the transportation problem, namely the rules of the minimum element of the transport matrix, which is a valid solution. The mechanism of the improvement of the obtained feasible solutions to the tasks focuses on using the potential method, assigning each row and column of the matrix their corresponding potential. Using a basic variable and manipulating the elements of the transport matrix according to a specific algorithm, we implement the construction of a new support plan. Based on the plan and its acyclic, we build two cycles and determine the values of the estimates between direct and indirect transportation costs per unit of output. The resulting algorithm makes it easy to program all computational operations and quickly obtain the result of the optimization of power losses in the design of the electricity network, thereby reducing the economic and technological costs. As a result of joint use of transportation problems and potential method, we could find the optimal solution based on improved solutions more efficiently, and a scheme of optimal electric network. As consumers, in practice, there may be urban and agricultural, industrial enterprises, regional and district subordination, including industrial, agricultural and individual customers