Load frequency predictive control for power systems concerning wind turbine and communication delay

Abstract

This article addresses a model predictive control (MPC) technique for load frequency control (LFC) system in the presence of wind power, communication delay, and denial‐of‐service (DoS) attack. In this article, communication delay is incorporated into a single area control error transmission for simplicity, wind power and load disturbance are regarded as Lipschitz nonlinear terms, as for the randomly occurring DoS attack, it is modeled as Bernoulli processes with known conditional probability. Thinking all these adverse factors to stability and the limitation of input constraint synthetically, the stability of LFC system can be guaranteed by delay‐dependent Lyapunov function lemma and a state feedback MPC controller is designed to solve the LFC problems by minimizing the infinite‐horizon objective function. Although some scholars have studied the performance degradation and instability of LFC system caused by cyber attack and/or communication delay and some very nice results have been addressed, limited works have considered the MPC approach to deal with both the problems of cyber attack and communication delay which explicitly considers the physical constraints. In addition, the delay‐dependent Lyapunov function is adopted to deal with the problem of communication delay, which results in less conservatism of the presented method. Finally, the optimization problem with input constraint is solved and proven to be recursive feasibility, and the closed‐loop system turns out to be stable. The reasonability and validity of the provided strategy is verified through several groups of simulation experiments. It illustrates that the proposed control method can keep the system frequency steady in the standard range in spite of various attack conditions.

Load frequency control of new energy power system based on adaptive global sliding mode control

“…In Sharma et al (2022), a proportion integration (PI) controller was designed to determine the parametric uncertainty margin (PUM) to cope with problems caused by the changes of parameters. From Tang et al (2023), a model predictive control (MPC) technique was presented, and a state feedback MPC controller was designed to deal with wind interference, communication delay, and denialof-service (DoS) attacks. In Naderipour et al (2023), based on the fuzzy logic, through a novel meta-heuristic whale algorithm, a self-tuning controller was designed to enable the proposed controller to operate better.…”

Stability Analysis of Two-Area LFC Power Systems With Two Additive Interval Time-Varying Delays

“…At the same time, the load disturbance is modeled as a bounded uncertainty parameter, and a new inequality technique is used to further reduce the conservatism of the stability criteria for the LFC power systems with time-varying delays [27]. In addition, in order to ensure the stability and anti-interference ability of time-delay LFC power system, researchers have designed many control strategies, such as PI control [28], network predictive control [29][30][31], nonlinear control [32,33], and so on. PI control has good robustness and independent on the exact model of the power system, which is widely used in the industrial field at present.…”