Various approaches to problems of multicriterion optimization processes of electric power systems

The efficiency of multi-criterion optimization methods for enhancing the efficiency of operating states of electric power systems (EPS) has been studied. On the example of 14-node IEEE-circuit there have been compared Pareto multitudes obtained by two methods. The first one consists in applying the traditional approach of multi-criterion problem solution. The second one creates Pareto multitude with the use of non-dominated sorting algorithm. Has been developed an approach to compare the efficiency of the multi-criterion optimization algorithms. It is shown that with the regard to time-consuming costs the first approach is 10-20 times inferior to the second one. The solution of two-criterion power flow optimization problem of Kolskaya EPS has been performed; a recommendation on the control of operating states of a given EPS has been presented.