FIS model for optimization of hydro resources of hydroelectric reservoirs by the criterion of electrical energy maximum generation

International Workshop "Advanced Technologies in Material Science, Mechanical and Automation Engineering – MIP: Engineering – 2019"

材料科学;机械制造;原子能学

Platonova, E.V.^1 ; Chistyakov, G.N.^1 ; Toropov, A.S.^1 ; Tulikov, A.N.^1 ; Panteleev, V.I.^2

Khakass Technical Institute, Branch of Siberian Federal University, Abakan, Russia^1

Siberian Federal University, Krasnoyarsk, Russia^2

关键词: Fuzzy inference systems;    Generation of electrical energy;    Hydroelectric power station;    Hydroelectric reservoirs;    Hydroelectric station;    Operational management;    Optimal consumption;    Optimal strategies;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/537/6/062062/pdf
DOI  :  10.1088/1757-899X/537/6/062062

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

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.