Fuzzy logic and artificial neural network based grid-interactive systems for renewable energy sources: A review
9th International Conference on Smart Grid, icSmartGrid 2021, Virtual, Setubal, Portugal, 29 June - 01 July 2021, pp.186-191, (Full Text)
- Publication Type: Conference Paper / Full Text
- Doi Number: 10.1109/icsmartgrid52357.2021.9551219
- City: Virtual, Setubal
- Country: Portugal
- Page Numbers: pp.186-191
- Keywords: Artificial neural network, Frequency fluctuation, Fuzzy logic, Grid failure, Grid-interactive systems, Voltage instability
- Eskisehir Osmangazi University Affiliated: Yes
Abstract
© 2021 IEEE.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.