Research on AGC Performance During Wind Power Ramping Based on Deep Reinforcement Learning

Research on AGC Performance During Wind Power Ramping Based on Deep Reinforcement Learning

With the increase in wind power penetration, wind power ramping events have increasingly influenced tie line power control in the power grid. Large power changes during ramping events make it difficult to accurately track the scheduling plans of tie lines and can even lead to overrun. Determining ho...

Full description

Bibliographic Details
Main Authors: Dongying Zhang, Huiting Zhang, Xu Zhang, Xiaoyu Li, Kaiqi Ren, Yongxu Zhang, Yun Guo
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Wind power ramping
tie line
AGC
measured data
deep reinforcement learning
Online Access:https://ieeexplore.ieee.org/document/9110876/

Internet

https://ieeexplore.ieee.org/document/9110876/

Similar Items