Optimization-Based Estimation of Microgrid Equivalent Parameters for Voltage and Frequency Dynamics

Niranjan Bhujel, Timothy M. Hansen, Reinaldo Tonkoski, Ujjwol Tamrakar, Raymond H. Byrne

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

9 Zitate (Scopus)

Abstract

Microgrid parameter estimation is essential to enable optimal voltage and frequency control using distributed energy resources (DER). Microgrid parameters vary through time, e.g., when generation is re-dispatched/committed, during microgrid reconfiguration. Furthermore, sensor measurements are noisy and preservation of the fast dynamics measurements is required, which is difficult to achieve with a lowpass filter. In this paper, a moving horizon estimation (MHE) approach is applied to estimate microgrid parameters for voltage and frequency support. The proposed approach estimates the states i.e., frequency, rate of change of frequency, grid voltage and current, and system parameters i.e., inertia, damping, and equivalent impedance. The MHE is formulated as an optimization problem using data over a fixed past horizon and solved online such that the sum of the square of measurement noise and process noise is minimized. Results showed that the proposed approach was able to estimate microgrid states, parameters, and disturbances within 5% for most values, which is sufficient to use in microgrid voltage and frequency control.

OriginalspracheEnglisch
Titel2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
ISBN (elektronisch)9781665435970
DOIs
PublikationsstatusVeröffentlicht - 28 Juni 2021
Extern publiziertJa
Veranstaltung2021 IEEE Madrid PowerTech, PowerTech 2021 - Madrid, Spanien
Dauer: 28 Juni 20212 Juli 2021

Publikationsreihe

Name2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings

Konferenz

Konferenz2021 IEEE Madrid PowerTech, PowerTech 2021
Land/GebietSpanien
OrtMadrid
Zeitraum28/06/212/07/21

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