Optimization of electric power systems modes under conditions of partial uncertainty of initial information based on use of payment matrices

Abstract

The problem of optimizing the mode of power systems is one of the complex problems of nonlinear mathematical programming. Despite the development of many methods and algorithms for solving this problem over the past few decades, the issues of their improvement, considering the modern operating conditions of energy systems, remain an important task. This article proposes a new algorithm for optimizing short-term power system modes under partial uncertainty of the initial information. A distinctive feature of the algorithm is associated with the elimination of the calculations of the need to select a single intermediate bus with a balancing power plant, which is typical for many existing methods. It is shown that considering frequency changes when optimizing the power system mode and the partial uncertainty of the initial information can significantly change the calculation results and lead to a corresponding increase in the resulting economic effect