A dynamic increase in the share of renewable energy sources in the power industry may cause various changes related to the optimal functioning of the entire power system [7], [10]. A high concentration of renewable energy sources in the power system may force the need to reconfigure the network in order to ensure optimal work. The article presents the impact of renewable energy sources on the location of MV grid division points. As the function of the target, the minimization of active power losses in the network was selected. The research was carried out for a dozen or so variants of network operation to determine the magnitude of the impact of these sources on the location of optimal network partition points. The optimization calculations were carried out using the Cuckoo Search algorithm (cuckoo search).
Some quantities in the power industry, are subject to random changes, depending on the current state of the network, atmospheric conditions, or unforeseen, in normal conditions, events. It is difficult to describe them with classical dependencies, therefore a probabilistic approach seems to be appropriate. While analyzing the measurements of these quantities, for a certain period of time, an appropriate probability distributions can be assigned to them. The article presents the results of such considerations, for selected variables based on their real values. It should be noted that some quantities result from others (due to the connection), they are a kind of compilation.
KEYWORDS: Algorithms, Photovoltaics, Optimization (mathematics), MATLAB, Network security, Renewable energy, Control systems, Monte Carlo methods, Medium wave, Electrical engineering
Medium voltage networks work as radial. In reality, however, such configurations of linear SN lines are provided, so that in the event of disturbances, do not completely deprive the receivers of power only to be able to make the changeover and feed them from another substation. For this reason, they are designed so that it is possible to connect with other MV lines. In the normal state these places are referred to as cut points and selected to minimize power losses. The article presents the method of optimal determination of cut points, using the heuristic optimization method. The calculations included two PV sources and their random nature of generation as well as loads in nodes.
The tools for energy management of district heating on the consumer side are proposed in this article. The information system of making decision support in the management of heat supply which carries out the heating monitoring, forecast of heat consumption and decision support of the heating modes regulation is developed. To make the decisions on heating modes regulation the system of automatic heating control in individual heating substation is proposed. Using of these systems allows managing the heating system in individual heating substation and reducing heat consumption on the consumer side.
KEYWORDS: Control systems, Wind energy, Transformers, Solar energy, Automatic control, Reliability, Telecommunications, Process control, Energy efficiency, Systems modeling
The research is devoted to the creation of favorable conditions for the integration of renewable sources of energy into electric grids, which were designed to be supplied from centralized generation at large electric power stations. Development of distributed generation in electric grids influences the conditions of their operation – conflict of interests arises. The possibility of optimal functioning of electric grids and renewable sources of energy, when complex criterion of the optimality is balance reliability of electric energy in local electric system and minimum losses of electric energy in it. Multilevel automated system for power flows control in electric grids by means of change of distributed generation of power is developed. Optimization of power flows is performed by local systems of automatic control of small hydropower stations and, if possible, solar power plants.
KEYWORDS: Information technology, Fuzzy logic, Control systems, Data modeling, Head, Complex systems, Computing systems, Systems modeling, Statistical analysis, Associative arrays
The advances in computer technology require an interconnection between a man and computer, more specifically, between complex information systems. The paper is therefore dedicated to creation of dialog systems, able to respond to users depending on the implemented textual educational content. To support the dialog there had been suggested the knowledge base model on the basis of the unit and a fuzzy sense relation. Lexical meanings is taken out from the text by processing the syntactic links between the allologs of all the sentences and the answer shall be generated as the composition of a fuzzy ratios upon the formal criterion. The information support technology had been put to an evaluation sample test, which demonstrates the combination of information from some sentences in the final response.
The paper presents a method of forecasting the energy center position of the laser beam images using the parallel-hierarchical network. Main steps for classification and forecast of energy center coordinates of laser beam spot images are described, which allow to develop a new information technology for their classification and forecast their energy center coordinates. Predictions based on the known neural networks and on the proposed method using the parallel-hierarchical network were evaluated experimentally.
The article contains the analysis of opportunities to measure reactive power under asymmetrical nonsinusoid modes of three-phase networks with earthed neutral using classical and instantaneous power theories. It is shown that, under an insignificant mode asymmetry, one can apply any of powers. This being the case, the simplest way to carry out the measurement is to use the instantaneous power theory. With the increase in network mode asymmetry, it would be advisable to use the reactive power, which is based on the classical power theory.
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