Verification of Space Station secondary power system stability using design of experiment

Abstract

This paper describes analytical methods used in verification of large DC power systems with applications to the International Space Station (ISS). Large DC power systems contain many switching power converters with negative resistor characteristics. The ISS power system presents numerous challenges with respect to power system stability such as complex sources and undefined loads. The ISS program has developed impedance specifications for sources and loads. The overall approach to system stability consists of specific hardware requirements coupled with extensive system analysis and testing. Testing of large complex distributed power systems is not practical due to the size and complexity of the system. Computer modeling has been extensively used to develop hardware specifications as well as to identify system configurations for lab testing. The statistical method of design of experiments (DoE) is used as an analysis tool for verification of these large systems. DoE reduces the number of computer runs which are necessary to analyze the performance of a complex power system consisting of hundreds of DC/DC power converters. DoE also provides valuable information about the effect of changes in system parameters on the performance of the power system. DoE provides information about various operating scenarios and identification of the ones with potential for instability. In this paper, the authors describe how they have used computer modeling to analyze a large DC power system. A brief description of DoE is given. Examples using applications of DoE to analysis and verification of the ISS power system are provided.