Journal article
An Improved Model Predictive Fast Frequency Control for Power System Stability Against Unknown Time-Delay Switch Attack
Power and Energy Systems, Department of Wind and Energy Systems, Technical University of Denmark1
E-mobility and Prosumer Integration, Power and Energy Systems, Department of Wind and Energy Systems, Technical University of Denmark2
Department of Wind and Energy Systems, Technical University of Denmark3
National Taiwan University of Science and Technology4
A modern power grid is a cyber-physical system, which are vulnerable to cyber attacks. A recently found attack, the time-delay switch attack (TDSA), is made by inserting time delays into communication channels. A TDSA can be highly destructive to a power system as it can lead to instability. This paper presents a novel model predictive control (MPC) for fast frequency controller in a power system which can effectively mitigate the unknown TDSA.
The MPC recently has received great attentions to be applied as FFC in a power system. Most of the MPC design are based on discrete-time model, whose future plant behaviour is calculated through iteration, rather than convolution. Nevertheless, one crucial step in the derivation of discrete-time MPC (DTMPC) is to capture the control trajectory over a finite prediction horizon.
This imposes a challenge in designing a DTMPC to counteract the time-delay with unknown time length. Thus, a continuous-time MPC (CTMPC) is proposed to deal with TDSA. To overcome the unknown time delay, we synthesize an accurate time-delay estimator and sequential state predictor (SSP), are designed to accurately estimate and effectively counteract the unknown and random TDSA.
All presented case studies are based on a real Taipower system and justification of the effectiveness of the proposed method was verified.
Language: | English |
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Publisher: | IEEE |
Year: | 2022 |
Pages: | 99776-99789 |
ISSN: | 21693536 |
Types: | Journal article |
DOI: | 10.1109/ACCESS.2022.3207297 |
ORCIDs: | Subroto, Ramadhani Kurniawan |