Power system equivalent inertia evaluation algorithm based on intelligent optimization

Abstract

To improve the accuracy of the evaluation of the equivalent inertia of a power system, a method for evaluating the equivalent inertia level of a power system based on an intelligent optimization algorithm is proposed. The proposed method constructs the objective function based on different degrees of system perturbation, ignores the frequency characteristics of the load, constructs the objective function with the generator swing equation, solves the inertia time constant of each generator using the intelligent optimization algorithm, and then evaluates the equivalent inertia of the whole system, eliminates the influence of inconsistent frequency change rate under perturbation on the system equivalent inertia evaluation, and thus obtains a more accurate system equivalent inertia evaluation, experimental result shows the evaluation accuracy can be improved by 10.79% and 3.48% respectively compared with other two comparison method.