PSO-based model predictive control for load frequency regulation with wind turbines
With the high penetration of wind turbines, many issues need to be addressed in relation to load frequency control (LFC) to ensure the stable operation of power grids. The particle swarm optimization-based model predictive control (PSO-MPC) approach is presented to address this issue in the context...
Main Authors: | Fan, Wei, Hu, Zhijian, Veerasamy, Veerapandiyan |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/168628 |
Similar Items
-
Collective Pitch Control of Wind Turbines using Stochastic Disturbance Accommodating Control
by: Girsang, Irving Paul, et al.
Published: (2016) -
Battery energy storage selection based on a novel intermittent wind speed model for improving power system dynamic reliability
by: Liang, Chen, et al.
Published: (2020) -
Identification of offshore wind turbine foundation properties from monitoring data
by: Anderson, EF
Published: (2022) -
Machine learning-based approach to wind turbine wake prediction under yawed conditions
by: Gajendran, Mohan Kumar, et al.
Published: (2024) -
Impact of turbine- and farm-scale flow effects on wind farm performance
by: Kirby, A
Published: (2024)