FREQUENCY CONTROL IN SMART NETWORKS FOR WIND TURBINES THROUGH FUZZY LOGIC METHOD
Session
Energy Efficiency Engineering
Description
An energy system is a complex structure that includes various elements with differential dynamics. In the ideal world, power system loads are equipped with constant frequency and voltage. Under normal conditions, all synchronous generators are synchronized to avoid cross-normal voltage in voltage and current, which can lead to disconnection of areas from the network. Frequency deviation is the result of an imbalance between the load and the energy generated. The paper proposes a fuzzy logic-based controller for a wind turbine system to provide frequency support for a smart grid. The designed controller is intended to provide a dynamically adjusted drop rate depending on the local measurements of each wind turbine of a wind farm, such as the maximum power available and the amount of power reserve. The designed fuzzy controller depends on the rate of change of frequency (ROCOF) at the common coupling point (PCC). The main advantage of the proposed fuzzy controller is to provide frequency support from the turbine system connected to a smart grid. The dynamic rate of the controller is determined by the fuzzy bands taking into account the change in network frequency and available reserve power. The proposed controller is tested using Matlab software.
Keywords:
Frequency regulation, fuzzy logic, frequency deviation, smart grid, renewable energy.
Proceedings Editor
Edmond Hajrizi
ISBN
978-9951-550-47-5
Location
UBT Kampus, Lipjan
Start Date
30-10-2021 12:00 AM
End Date
30-10-2021 12:00 AM
DOI
10.33107/ubt-ic.2021.321
Recommended Citation
Krasniqi, Flakrim and Alidemaj, Avni, "FREQUENCY CONTROL IN SMART NETWORKS FOR WIND TURBINES THROUGH FUZZY LOGIC METHOD" (2021). UBT International Conference. 338.
https://knowledgecenter.ubt-uni.net/conference/2021UBTIC/all-events/338
FREQUENCY CONTROL IN SMART NETWORKS FOR WIND TURBINES THROUGH FUZZY LOGIC METHOD
UBT Kampus, Lipjan
An energy system is a complex structure that includes various elements with differential dynamics. In the ideal world, power system loads are equipped with constant frequency and voltage. Under normal conditions, all synchronous generators are synchronized to avoid cross-normal voltage in voltage and current, which can lead to disconnection of areas from the network. Frequency deviation is the result of an imbalance between the load and the energy generated. The paper proposes a fuzzy logic-based controller for a wind turbine system to provide frequency support for a smart grid. The designed controller is intended to provide a dynamically adjusted drop rate depending on the local measurements of each wind turbine of a wind farm, such as the maximum power available and the amount of power reserve. The designed fuzzy controller depends on the rate of change of frequency (ROCOF) at the common coupling point (PCC). The main advantage of the proposed fuzzy controller is to provide frequency support from the turbine system connected to a smart grid. The dynamic rate of the controller is determined by the fuzzy bands taking into account the change in network frequency and available reserve power. The proposed controller is tested using Matlab software.