Robust load frequency control of power systems with two time delays

Abstract

This paper is concerned with the robust H ∞ load frequency control (LFC) of power systems with two time delays in the presence of load disturbance. Firstly, the original power systems with the proportional-integral (PI)-type LFC are converted into an output feedback control system with two time delays. Secondly, an improved reciprocally convex inequality is proposed, and a less conservative robust H ∞ criterion is derived, which can be used to design the PI-type LFC with robust H ∞ performance. Then, based on the robust H ∞ criterion, an algorithm is provided to obtain the PI-type LFC gain and the time delay margin, which effectively convert the coupled nonlinear terms into linear items without solving the inverse of the matrix with row full rank. Finally, simulations are shown to verify the superiority of the presented method.

Resilient distributed model‐free adaptive predictive control for multiarea power systems under denial of service attack

“…Load frequency control has received a lot of attention in recent years, and various control methods have been used [1–5], for example, robust control [6–9], adaptive control [10, 11], H‐infinity control [12–15], predictive control [16–18], and variable structure control [19–23]. Zhang et al [9] proposed an LFC scheme based on perturbation estimation for stochastic time lag attacks, which mitigates the effects of time‐lag attacks by perturbing observers.…”

“…Load frequency control has received a lot of attention in recent years, and various control methods have been used [1][2][3][4][5], for example, robust control [6][7][8][9], adaptive control [10,11], H-infinity control [12][13][14][15], predictive control [16][17][18], and variable structure control [19][20][21][22][23].…”

Optimal Designing of Fuzzy-PID Controller in the Load-Frequency Control Loop of Hydro-Thermal Power System Connected to Wind Farm by HVDC Lines

“…Researches on the design of load-frequency controllers in the power system can be divided into four categories: classical control methods [10]- [14], adaptive control methods [15]- [20], robust control methods [21]- [23] and intelligent control methods [24]- [27]. This section reviews some of the most anticipated articles in recent years.…”