Adaptive event‐triggering mechanism‐based N‐step predictive load frequency control for power systems with cyber attack

Author:

Wu Yun1,Tang Xiaoming1ORCID,Wang Jialiang1,Qu Hongchun1

Affiliation:

1. College of Automation and Advanced Scientific Research Institute Chongqing University of Posts and Telecommunications Chongqing China

Abstract

AbstractAlthough there have already been many works on the model predictive control (MPC) for load frequency control (LFC) of modern power systems, limited works can be found in the literature related to the output feedback MPC. This article studies an N‐step synthesis approach of output feedback MPC for LFC systems considering the problems of communication efficiency and network security. First, to improve the communication efficiency, an adaptive event‐triggering (AET) scheme involving two adaptive laws is designed to reduce the number of transmitted data packages which offers more flexible compared with existing event‐triggering schemes; Second, to handle the network security, a new model of LFC power system combining the AET scheme and random deception attack under an unified framework is established; Moreover, a synthesis approach of output feedback MPC with N‐step strategy is addressed for LFC of power system by parameterizing the infinite control moves into a series of output feedback laws. Compared with the existing predictive load frequency control methods, the present technique is shown as an useful way to improve the control performance since more degrees freedom is introduced by the N‐step strategy. Finally, the simulation experiment is carried out to verify our technique.

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Applied Mathematics,Control and Optimization,Software,Control and Systems Engineering

Reference40 articles.

1. Model algorithmic control (MAC); basic theoretical properties

2. Generalized predictive control—Part I. The basic algorithm

3. Robust constrained model predictive control using linear matrix inequalities

4. Distributed economic MPC for LFC of multi‐area power system with wind power plants in power market environment;Zhang C;Int J Electr Power Energy Syst,2021

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