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Estimation of the largest expected photovoltaic power ramp rates

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Estimation of the largest expected photovoltaic power ramp rates. / Lappalainen, Kari; Wang, Guang C.; Kleissl, Jan.

In: Applied Energy, Vol. 278, 115636, 15.11.2020.

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Lappalainen, Kari ; Wang, Guang C. ; Kleissl, Jan. / Estimation of the largest expected photovoltaic power ramp rates. In: Applied Energy. 2020 ; Vol. 278.

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@article{80d72f78094e405e9ad3b876e8ea8b8a,
title = "Estimation of the largest expected photovoltaic power ramp rates",
abstract = "Photovoltaic (PV) systems are prone to irradiance variation caused by cloud shadows leading to fluctuations in generated power. Since these fluctuations can be harmful to the operation of power grids, there is a need to restrict the largest PV power ramp rates (RR). This article proposes a method to estimate the largest expected PV power RRs. The only inputs of the method are the minimum PV system dimension and the measurements of point irradiance and cloud shadow velocity. Since cloud shadows cause the largest power RRs for well-designed large-scale PV power plants, the relation between the largest RRs in irradiance and power during partial cloud shading events was studied based on irradiance measurements. The largest RRs in PV power are estimated from RRs in the average irradiance across the PV system. The proposed method was validated using measured data of 57 days from two PV systems. It showed superior performance compared to an existing method enveloping the RR in the measured power over 99.99{\%} of the time. The method can be used in design and component sizing of PV power plants.",
keywords = "Energy storage sizing, Irradiance transition, Partial shading, Photovoltaic power generation, Power fluctuation, Power ramp rate estimation",
author = "Kari Lappalainen and Wang, {Guang C.} and Jan Kleissl",
year = "2020",
month = "11",
day = "15",
doi = "10.1016/j.apenergy.2020.115636",
language = "English",
volume = "278",
journal = "Applied Energy",
issn = "0306-2619",
publisher = "ELSEVIER SCI LTD",

}

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TY - JOUR

T1 - Estimation of the largest expected photovoltaic power ramp rates

AU - Lappalainen, Kari

AU - Wang, Guang C.

AU - Kleissl, Jan

PY - 2020/11/15

Y1 - 2020/11/15

N2 - Photovoltaic (PV) systems are prone to irradiance variation caused by cloud shadows leading to fluctuations in generated power. Since these fluctuations can be harmful to the operation of power grids, there is a need to restrict the largest PV power ramp rates (RR). This article proposes a method to estimate the largest expected PV power RRs. The only inputs of the method are the minimum PV system dimension and the measurements of point irradiance and cloud shadow velocity. Since cloud shadows cause the largest power RRs for well-designed large-scale PV power plants, the relation between the largest RRs in irradiance and power during partial cloud shading events was studied based on irradiance measurements. The largest RRs in PV power are estimated from RRs in the average irradiance across the PV system. The proposed method was validated using measured data of 57 days from two PV systems. It showed superior performance compared to an existing method enveloping the RR in the measured power over 99.99% of the time. The method can be used in design and component sizing of PV power plants.

AB - Photovoltaic (PV) systems are prone to irradiance variation caused by cloud shadows leading to fluctuations in generated power. Since these fluctuations can be harmful to the operation of power grids, there is a need to restrict the largest PV power ramp rates (RR). This article proposes a method to estimate the largest expected PV power RRs. The only inputs of the method are the minimum PV system dimension and the measurements of point irradiance and cloud shadow velocity. Since cloud shadows cause the largest power RRs for well-designed large-scale PV power plants, the relation between the largest RRs in irradiance and power during partial cloud shading events was studied based on irradiance measurements. The largest RRs in PV power are estimated from RRs in the average irradiance across the PV system. The proposed method was validated using measured data of 57 days from two PV systems. It showed superior performance compared to an existing method enveloping the RR in the measured power over 99.99% of the time. The method can be used in design and component sizing of PV power plants.

KW - Energy storage sizing

KW - Irradiance transition

KW - Partial shading

KW - Photovoltaic power generation

KW - Power fluctuation

KW - Power ramp rate estimation

U2 - 10.1016/j.apenergy.2020.115636

DO - 10.1016/j.apenergy.2020.115636

M3 - Article

VL - 278

JO - Applied Energy

JF - Applied Energy

SN - 0306-2619

M1 - 115636

ER -