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Платонова, Елена Владимировна
Чистяков, Геннадий Николаевич
Торопов, Андрей Сергеевич
Туликов, Александр Николаевич
Пантелеев, Василий Иванович
2020-01-20T07:54:45Z
2020-01-20T07:54:45Z
2019-05
Платонова, Елена Владимировна. FIS model for optimization of hydro resources of hydroelectric reservoirs by the criterion of electrical energy maximum generation [Текст] / Елена Владимировна Платонова, Геннадий Николаевич Чистяков, Андрей Сергеевич Торопов, Александр Николаевич Туликов, Василий Иванович Пантелеев // IOP Conference Series: Materials Science and Engineering. — 2019. — Т. 537 (№ 6).
https://iopscience.iop.org/article/10.1088/1757-899X/537/6/062062
https://elib.sfu-kras.ru/handle/2311/129094
The authors propose a model of fuzzy inference system (FIS) to determine the optimal consumption of hydro resources of hydroelectric reservoirs by the criterion of maximum generation of electrical energy. It is proposed to use a fuzzy controller that allows to develop optimal strategies to ensure the maximum energy output of hydroelectric power stations and passes to the downstream, to formulate proposals for creating a subsystem for calculating the regimes, schedules of drawdown and filling of reservoirs by the criterion of maximum generation of electrical energy. The use of fuzzy controllers and submission to their inputs of data on changes in the regimes of a cascade of hydroelectric stations in real time allows us to obtain a FIS system that will be an assistant for the operational management of hydroelectric reservoirs.
Fuzzy inference
Hydroelectric power
Information management
Reservoir management
Fuzzy inference systems
Generation of electrical energy
Hydroelectric power station
Hydroelectric reservoirs
Hydroelectric station
Operational management
Optimal consumption
Optimal strategies
Hydroelectric power plants
FIS model for optimization of hydro resources of hydroelectric reservoirs by the criterion of electrical energy maximum generation
Journal Article
Journal Article Preprint
44.09.33
2020-01-20T07:54:45Z
10.1088/1757-899X/537/6/062062
Хакасский технический институт — филиал СФУ
Кафедра электроэнергетики
IOP Conference Series
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без квартиля


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