Abstract
Currently, due to the deteriorating environmental situation, an increase in the share of renewable energy sources is the main direction for the development of the electric power industries in many countries. An important stage in the creation of new power plants is simulation, which makes it possible to analyze the operation of equipment in various conditions, including violation of the limits of normal operation, and to reduce the number of possible design errors. This article describes the development and application of a simulation model of a system for generating electricity based on renewable sources with a system for assessing and predicting the technical condition of equipment. The simulation model is implemented in the Matlab Simulink environment. Oscillograms of currents and voltages were obtained when the model was operating with an electrical load of 10 kVA for converters of wind and solar energy. A system for monitoring the technical condition of equipment based on the Mamdani-Zade fuzzy input system has been developed, which forms an assessment of the technical condition of the power plant elements based on diagnostic parameters in accordance with the base of expert rules. The obtained estimates of the technical condition of the equipment are processed using an adaptive neuro-fuzzy inference system (ANFIS), which forms a forecast of the technical condition of the equipment at a given time interval. The constructed model can be used in the design of renewable energy facilities, as well as in the development and testing of algorithms for control and monitoring systems. The system for assessing and predicting the state of equipment using a fuzzy logic apparatus can be used to support decision-making by the operator of an electric power plant when determining the need for repair and replacement of equipment.
Keywords
Renewable energy, simulation model, fuzzy logic, technical condition diagnostics, monitoring system.
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