Open AccessModelling of developing capacity of power systems based on hybrid power complexes by reliability indicators
Author(s) -
Tatiana Aleksandrovna Shestopalova,
М. М. Султанов,
O I Zhelyaskova
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1683/4/042036
Subject(s) - reliability engineering , hydroelectricity , reliability (semiconductor) , power (physics) , stability (learning theory) , electric power system , hybrid power , thermal power station , computer science , automotive engineering , power transmission , engineering , electrical engineering , physics , quantum mechanics , machine learning
Currently, short-term power supply failures of consumers are the main cause of failures in the stability of normal operating modes of the system. The result of real power supply failures is emergency modes due to improper load distribution. We propose the joint operation of algorithm and the program for forecasting capacity of power transmission lines in order to ensure reliable uninterrupted operation of power system. The results of the study are presented on the example of hybrid operation of the Thermal Power Plant (TPP) and Mini hydroelectric power plant (HPP).