Stability (learning theory)

Electrical engineering

Physics

Control engineering

PID controller

Agronomy

Biology

Gene

Machine learning

Engineering

Control system

Artificial intelligence

Power (physics)

Controller (irrigation)

Automatic frequency control

Control (management)

Chemistry

Automatic Generation Control

Computer science

Temperature control

Quantum mechanics

Wind power

Electric power system

Robust control

Control theory (sociology)

Biochemistry

Robustness (evolution)

Telecommunications

IEEE Transactions on Cybernetics

This article presents a novel reconstructed model for the delayed load frequency control (LFC) schemes considering wind power, which aims to improve the computational efficiency for PID controllers while retaining their dynamic performance. Via fully exploiting system states influenced by time delays directly, this novel reconstructed method is proposed with a controller isolated. Hence, when the PID controllers are unknown, the stability criterion based on this model can resolve controller gains with less time consumed. For given PID gains, this model can be employed to establish criteria for stability analysis, which can realize the tradeoff between the calculation accuracy and efficiency. The case study is first based on a two-area traditional LFC system to validate the merits of a novel reconstructed model, including accurately estimating the influence of time delay on system frequency stability with increased computational capability. Then, under traditional and deregulated environments, case studies are carried out on the two-area and three-area schemes, respectively. Through the novel reconstructed model, the efficiency of obtaining controller parameters is highly improved while their robustness against the random wind power, tie-line power changes, inertial reductions, and time delays remains almost unchanged.

Robust Delay-Dependent Load Frequency Control of Wind Power System Based on a Novel Reconstructed Model