This article describes an electric drive system’s topology with a permanent magnet synchronous motor for a wide speed range applications. Topology consists of a synchronous motor with permanent magnets (PMSM) and two inverters connected to the beginnings and to the ends of the PMSM’s stator windings. The first inverter is connected to a storage battery, while the other one to a floating bridge capacitor, which acts as a back-EMF compensator. The article proposes electric drive system topolo-gy and its control algorithm. Simulation modeling was implemented by the MATLAB/Simulink software package. Simulation results shows that the proposed electric drive system, in comparison with the standard topology with a «star» stator windings connection, is able to increase the maximum speed of PMSM in the field weakening mode by 17%. The maximum achievable torque on the rotor shaft at the maximum speed of the PMSM motor was increased by 16.6%. Also, developed topology allows to in-crease the speed range in the constant torque mode by 34%.
The article considers electrical complexes with power plants of small capacity. The influence of power generation sources on short-circuit current distribution has been investigated. Reduced sensitivity of back-up current protection and dependence of current distribution on power plant capacity are revealed. Recommendations for minimizing false operation of short-circuit protection in networks with distributed power generation are proposed. An algorithm for adaptive current protection, which uses graph theory to determine the stages of selectivity of relay protection based on finding the shortest Dijkstra path and calculation of equivalent resistance in networks with multiple sources of power generation, which provides selec-tivity and sensitivity of current protection when changing the generated power of generators and the structure of the distribution network is pre-sented. The algorithm uses communication lines with a central control unit to monitor the distribution network and update the current triggering of the relay protection in accordance with changes in the structure of the power grid. The proposed system is designed so that it can respond to dynamic changes in the structure of the network and the state of operation of power plants. Simulation modeling in the Matlab/Simulink software package was performed and the results of the algorithm are presented.
The object of the study is the territory, which is characterized by household and production load, and their characteristic tendencies of changes in the volume of electricity consumption, and therefore it is necessary to create forecast models that take into account the influence of external climatic fac-tors and their contribution to the forecast of energy consumption of the ob-ject. In the work, theoretical methods and experimental studies were used, consisting in a scientific analysis of trends in changes in power consumption depending on changes in factors, methods of mathematical statistics, statis-tical samples, factors and data from the weather service. During this study, external climatic factors that influence the process of changing the energy consumption of an object and their degree of influence on changing con-sumption were determined. To improve the accuracy of forecasting, it is pro-posed to break the data into working days and days off, since consumption in these periods is of a different nature.
The energy consumption of villages in the Arctic is characterized mainly by household consumers. The load schedule of such consumers has a characteristic shape and is determined by the heating season in the winter and a sharp change in external climatic conditions in the spring and autumn. The load graphs of a village in the Arctic are analyzed in an article, maximum average consumption is 369 kW in January-February. We study such indicators of load graphs as average load, rms load, variance of the load graph and standard deviation of the load from the average. As a result, it was found that the standard deviation of the load has large values precisely in the winter months and the spring-autumn period, when energy consumption changes significantly, and, therefore, this indicator must be taken into account when choosing the composition of the generation in the wind-diesel complex.
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