Development of custom FPAA hardware for faster-than real-time analysis of power system dynamics

Abstract

Summary form only given. In this work, the authors examine the development of field-programmable analog array-based (FPAA) computation tools for faster-than real-time analysis of power system dynamics. They review hardware results yielded by two existing power system emulator prototypes as well as discuss the design and implementation of a third that facilitates the study of large power systems via improved modularity, increased computational analog block (CAB) density, and application-specific adaptation. This work focuses on issues related to hardware scalability, prototype size, actuation and data acquisition, batch-mode FPAA configuration, as well as board fabrication; it highlights the authors' continued work in the field of analog power system emulation. One innovative aspect of this work is that it employs custom FPAA boards developed by researchers at The College of New Jersey and Drexel University.