Algorithm for optimizing the mode of electric power systems by active power

Abstract

The paper considers the issues of optimizing the modes of electric power systems based on the methods of intelligent technologies: evolutionary and ant algorithms, taking into account the features of the object under consideration. An optimization criterion has been formulated, which includes minimizing the total cost of fuel in electric power facilities. The main restrictions imposed by the dynamics of the functioning of technological units and their mode of operation are determined. These restrictions are presented in the form of a system of linear equations that characterize the steady state of the units, as well as in the form of inequalities, which are the limiting restrictions on the parameters of the generated electricity. To solve this problem, evolutionary modeling algorithms and an ant colony algorithm have been developed. A comparative analysis of these algorithms was carried out in order to determine their capabilities and scope. The use of evolutionary algorithms in problems with discrete values of variables does not require any assumptions and simplifications of the problem. When solving the problem of optimal placement and determination of the parameters of compensating devices and linear regulators, it was possible to reduce losses in the system by 3.5%.