Frequency Response Analysis to Monitor and Identify Changes in the Impedance of a Photovoltaic Panel Measured Online using a Power Optimizer

Panchal, Jeet; Wen, Bo; Burgos, Rolando

doi:10.1109/ecce53617.2023.10362052

Frequency Response Analysis to Monitor and Identify Changes in the Impedance of a Photovoltaic Panel Measured Online using a Power Optimizer

Conference · Sun Oct 29 04:00:00 EDT 2023 · 2023 IEEE Energy Conversion Congress and Exposition (ECCE)

DOI:https://doi.org/10.1109/ecce53617.2023.10362052· OSTI ID:2278942

Panchal, Jeet ^[1]; Wen, Bo ^[2]; Burgos, Rolando ^[3]

Virginia Polytechnic Institute and State University,Center for Power Electronics Systems (CPES),Blacksburg,USA; Virginia Ploytechnic Institute and State University
Delta Electronics (Americas) Ltd,Milan Power Electronics Laboratory (MPEL),Durham,North Carolina,USA
Virginia Polytechnic Institute and State University,Center for Power Electronics Systems (CPES),Blacksburg,USA

Photovoltaic (PV) cells are generally modeled as a current source due to photocurrent, p-n junction diodes with parasitic resistance, capacitance, and inductance. This paper proposes online frequency response analysis (FRA) to measure the impedance of a PV panel using an existing panel-level power optimizer in a PV system. The algorithm will actively perturb a small signal into a 300 W rooftop PV panel and compute its small signal impedance. The technology discussed is easy to incorporate, requires no additional hardware, doesn't alter the stability of the system, and is implemented at a steady-state point. The power optimizer initially stabilizes at an operating point and then perturbs the PV current via FRA and computes PV panel impedance. The relative standard deviation test conducted indoors under 300 W/m 2 illumination on a PV panel shows a less than 5% error rate in PV panel impedance magnitude and phase is measured using a power optimizer.

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Research Organization:: Virginia Ploytechnic Institute and State University

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE)

DOE Contract Number:: EE0009370

OSTI ID:: 2278942

Conference Information:: Journal Name: 2023 IEEE Energy Conversion Congress and Exposition (ECCE)

Country of Publication:: United States

Language:: English

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