The performance optimization of the load frequency control problem for two-area interconnected power system is investigated by employing the gravitational search algorithm based linear active disturbance rejection control approach. Firstly, the load frequency control problem of a two-area power system with two identical non-reheated turbine units is formulated, taking into account the external step disturbance and parameters perturbation. Then, the essentials of the second order process oriented linear active disturbance rejection control approach are presented, where the parameters optimization procedure based on the gravitation search algorithm is proposed. Finally, the effectiveness of the proposed approach in the load frequency control problem is validated by the given extensive simulation examples. The disturbance rejection ability and the robustness with respect to the parameter perturbation of the proposed approach are also demonstrated.

In this brief, by constructing an augmented Lyapunov-Krasovskii functional in a triple integral form, the stability analysis of delayed neural networks is investigated. In order to exploit more accurate bounds for the derivatives of triple integrals, new double integral inequalities are developed, which include some recently introduced estimation techniques as special cases. The information on the activation function is taken into full consideration. Taking advantages of the proposed inequalities, the stability criteria with less conservatism are derived. The improvement of the obtained approaches is verified by numerical examples.

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