Probabilistic Power Flow Module for PowerFactory DIgSILENT

Abstract

Electric power system could be known as the most complex, large-scale human-built assembly. Power system engineers are deal with several challenging problems such as power system operating, planning, and protection. Different types of studies should be carried out in order to handle different problems of power system. However, like many other engineering endeavors, future operating conditions, and operating criteria could not be predicted with certainty. Load increment, generation scheduling, and power system topology are most uncertain conditions in which power system engineers are deal with them. Therefore, in order to drive a reliable system, along with deterministic studies, probabilistic studies should be carried out. Since power system includes multiple numbers of linear and nonlinear elements, computer-based software packages are sufficiently helpful. In most of the computer packages such as DIgSILENT PowerFactory and PSSE/PTI, deterministic analysis tools such as deterministic power flow (DLF) are available. However, probabilistic characteristic of these studies is not included in the software. In this chapter, a probabilistic power flow (PLF) analysis module for DIgSILENT PowerFactory is proposed. The proposed module is implemented using DPL. Two different PLF analysis methods are incorporated in the proposed module including Monte Carlo simulation and point estimate method. The user can select the desired algorithm for PLF analysis. A line-by-line explanation is provided for the written DPL code. The application of the proposed module is investigated using illustrative example incorporating IEEE 14-bus standard test system.