Abstract
This paper proposes a novel purely measurement-based method for estimating dynamic load parameters in near real-time when stochastic load fluctuations are present. By leveraging on the regression theorem for the Ornstein-Uhlenbeck process, the proposed method can provide highly accurate estimation without requiring any information about the power system model. Furthermore, by exploiting recursion, an online algorithm is developed to estimate the dynamic load parameters in near real-time. Simulation studies on the IEEE 39-Bus system demonstrate the accuracy of the model-free method, its robustness against measurement noise, as well as its satisfactory performance in tracking real-time changes of the load parameters.
Connections
Explore this paper’s authors, topics and related work.
Building this map preview
BZPEER is loading the nearby papers, people, topics and institutions for this page.
Reviews 0
Write a review
No reviews yet.
Discussion 0
Add a comment
No comments yet.