Comparison and improvement of power system production simulation methods

Abstract

Production simulation is effective in evaluating the production cost, fuel demand and reliability of generation systems. Among the most important methodologies that presently exist for production simulation, one numerical and three analytical methods (including the Mixture of Normal Approximation, MONA) are reviewed. In this paper, reasons for the high computing efficiency of the analytical methods and the relatively high simulation accuracy of the MONA method are identified. In this paper, the MONA method's load categorization is improved. The MONA with an improved load categorization has been compared numerically with the four aforementioned existing methods, including the conventional MONA, by testing on two benchmark test systems. The results demonstrate the characteristics of the four existing methods and the effectiveness of the proposed load categorization technique.