Dynamic behavior study and state estimator design for solid oxide fuel cells in hybrid power systems

    Research output: Contribution to journalArticle

    9 Citations (Scopus)

    Abstract

    In this paper, an application-oriented tubular Solid Oxide Fuel Cell (SOFC) mathematical model is presented. Its dynamic behaviors in complex power systems which consist of synchronous generators of different types are then investigated where SOFC transience is studied on a small (second) timescale. Based on the mathematical model of the entire power system, SOFC dynamic states estimator is designed to track and predict the behaviors of unmeasurable states inside SOFC during normal operating and electrically faulty conditions, using stochastic filtering algorithms. The proposed estimator operates on a holistic level with all generators, transmission lines and loads taken into consideration, whereas only SOFC local electrical data are needed for the dynamic state estimation. The success of estimating SOFC internal states will lead to a higher possibility of designing state-related controllers so as to regulate the behaviors of SOFC during electric faults.
    Original languageEnglish
    Pages (from-to)1-10
    Number of pages10
    JournalIEEE Transactions on Power Systems
    Volume31
    Issue number6
    DOIs
    Publication statusPublished - 2016

    Fingerprint Dive into the research topics of 'Dynamic behavior study and state estimator design for solid oxide fuel cells in hybrid power systems'. Together they form a unique fingerprint.

  • Cite this