Modeling of optimization problems in the electric power industry by function minimization methods

Abstract

The proposed article considers the application of methods for minimizing functions of many variables for solving optimization problems in the electric power industry. It is noted that these methods are the random search method, the direct search method, and the statistical gradient method. The methods of linearization of optimization problems of nonlinear programming are analyzed.