.png){kind=icon}
Return
Event-Triggered Data-Driven Load Frequency Control for Multiarea Power Systems
.png){kind=icon}
PRE
AI
DOI：10.1109/TII.2021.3130415.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
This article presents an event-triggered data-driven load frequency control (LFC) method for multiarea interconnected power systems via model-free adaptive control, where the dynamic model of the power system is assumed to be unknown completely. By introducing the dynamic linearization technique for the unknown power system, an equivalent data relationship model between the area-control-error (ACE) data and the input signal is established. Then, a data-driven LFC scheme is developed only relying on the input and output data of the power system. Meanwhile, an event-triggered strategy is also proposed in the design of data-driven LFC such that the communication and computation burden of the system can be reduced. Whether the current instant is the transmission instant is determined by judging the proposed triggering condition at each sampling instant. It is showed that the presented event-triggered data-driven LFC method is independent to any model information of the power system and does not need to measure any state signals. Simulation tests are carried out to verify the effectiveness of the presented control method.
Keywords:
Power system stability
Power system dynamics
Mathematical models
Frequency control
Load modeling
Computational modeling
Adaptation models
Data-driven design
event-triggered strategy
load frequency control (LFC)
model-free adaptive control (MFAC)
multiarea power systems
Journal
IF:
9.9
Papers:
8.3K
Citations:
6.0W
Organization
View more organizations
Cited Papers
.png){kind=icon}
ShareSaveShareSave
ShareSaveMemory-Based Event-Triggering H∞ Load Frequency Control for Power Systems Under Deception Attacks
PREAI
ShareSaveShareSaveShareSave View more