Resilient robust model predictive load frequency control for smart grids with air conditioning loads
Abstract This paper investigates the robust model predictive load frequency control problem for smart grids with wind power under cyber attacks. To accommodate intermittent power generation, the demand response of the system is considered by involving the air conditioning loads in the frequency regu...
Saved in:
Main Authors: | Shiluo Jike, Guobao Liu, Feng Li, Changyu Zhang, Qi Wang, Mengxia Zhou, Haiya Qian |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2024-10-01
|
Series: | IET Renewable Power Generation |
Subjects: | |
Online Access: | https://doi.org/10.1049/rpg2.13075 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A survey on detection and localisation of false data injection attacks in smart grids
by: Muhammad Irfan, et al.
Published: (2024-12-01) -
Multi‐data classification detection in smart grid under false data injection attack based on Inception network
by: H. Pan, et al.
Published: (2024-10-01) -
A Trojan Attack Against Smart Grid Federated Learning and Countermeasures
by: Atef H. Bondok, et al.
Published: (2024-01-01) -
Real-Time Monitoring & Adaptive Protection of Power Transformer to Enhance Smart Grid Reliability
by: Raichura Maulik, et al.
Published: (2019-12-01) -
Wind speed prediction model based on multiscale temporal‐preserving embedding broad learning system
by: Jiayi Qiu, et al.
Published: (2024-12-01)