Fuzzy Logic and Artificial Neural Network Based Grid-Interactive Systems for Renewable Energy Sources: A Review

被引：2

作者：

Colak, Medine ^{[1
]}

Cetinbas, Ipek ^{[2
]}

Demirtas, Mehmet ^{[1
]}

机构：

[1] Gazi Univ, Fac Technol, Dept Elect & Elect Engn, Ankara, Turkiye

[2] Eskisehir Osmangazi Univ, Fac Engn & Architecture, Dept Elect & Elect Engn, Eskisehir, Turkiye

来源：

2021 9TH INTERNATIONAL CONFERENCE ON SMART GRID, ICSMARTGRID | 2021年

关键词：

grid-interactive systems; voltage instability; frequency fluctuation; grid failure; fuzzy logic; artificial neural network; LOAD FREQUENCY CONTROL; CONTROL STRATEGY; WIND POWER; ES SYSTEM; PV SYSTEM; MANAGEMENT; CONTROLLER; STABILITY; PLANTS; DFIG;

D O I：

10.1109/ICSMARTGRID52357.2021.9551219

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Smart grid is getting popular day by day since renewable and distributed energy sources are connected to the grid. Many researchers have been studying how to reduce the impacts of renewable energy connections to the grid. Especially, voltage and frequency fluctuations during the connections are creating big problems on the grid. So that, many smart grid technologies have been proposed to overcome these problems. In this study, different techniques applied in active-reactive power control and voltage frequency control structures are investigated by examining the studies carried out with fuzzy logic and artificial neural network in order to ensure the smooth interaction of the renewable energy sources and the grid.

引用

页码：186 / 191

页数：6

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