Порівняльна характеристика методів оптимізації електроенергетичних истем

Abstract

The methods of optimizing the functioning of electric power systems are analyzed. It is shown that due to the complexity of the control object and problems with information support, it is advisable to use intelligent search methods, in particular evolutionary algorithms and optimization neural networks, to find optimal solutions. Due to the constant uncertainty of the initial data, the formulation of the problem using fuzzy data provides advantages in making optimal decisions.