Registration Number
0220U103969,
0119U002387
, R & D reports
Title
Methods and means of energy efficient use of domestic renewable energy sources within MicroGrid and StartGrid networks.
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Head
Kuznietsov Denys I.,
Registration Date
02-12-2020
Organization
Kryvyi Rih National University
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Research object. Obtaining, processing and using information on the state of renewable energy sources within the MICROGRID and SMARTGRID networks.
Purpose. To develop methods, ways and means of energy efficient use of household renewable energy sources. For example, based on the forecasting of electricity generated by household photovoltaic plants for intelligent power system with active-adaptive SMART GRID network. This enables to reduce the energy consumption of private households, increase the efficiency of energy networks and reduce the negative impact of energy systems on the environment. Additionally, this allows the results to be used for energy-efficient control of household appliances.
Research methods. This goal determined the application of a comprehensive research method, which consists in the theoretical generalization of the analytical study results of the renewable energy sources generation within MICROGRID, the use of new information technologies: artificial intelligence theory, neural network apparatus for parametric renewable energy sources identification.
The results of the use of household renewable energy sources within the MICROGRID and SMARTGRID networks are presented. An overview of using SMART GRID technology in updated power grids. The possibilities of household consumers to optimally plan and form the costs of generating and distribution networks are described. The structure and the choice of parameters of the neural network for compiling daily and monthly forecasts of the generated electricity on the basis of the indicators of consumed and produced energy are described. The analysis of the dependence of the forecast accuracy on the choice of input parameters is performed.
NEURO-FUZZY NETWORK, SMARTGRID, MICROGRID, PHOTOELECTRIC PANEL, PRODUCED ENERGY FORECASTING
Product Description
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Ivchenko Rodion A
Hradovyi Oleh V
Kuznietsov Denys I.
Kumchenko Yurii O.
Muzyka Ivan O.
Riabchyna Lubov S
Saiapin Vadym G
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2020-12-02
