Comparative Study of Ramp-Rate Control Algorithms for PV with Energy Storage Systems

João Pedro Rodrigues Martins, Sergiu Viorel Spataru, Dezso Séra, Daniel-Ioan Stroe, Abderezak Lashab

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

5 Citationer (Scopus)
55 Downloads (Pure)

Resumé

The high variability of solar irradiance, originated by moving clouds, causes fluctuations in Photovoltaic (PV) power generation, and can negatively impact the grid stability. For this reason, grid codes have incorporated ramp-rate limitations for the injected PV power. Energy Storage Systems (ESS) coordinated by ramp-rate (RR) control algorithms are often applied for mitigating these power fluctuations to the grid. These algorithms generate a power reference to the ESS that opposes the PV fluctuations, reducing them to an acceptable value. Despite their common use, few performance comparisons between the different methods have been presented, especially from a battery status perspective. This is highly important, as different smoothing methods may require the battery to
operate at different regimes (i.e., number of cycles and cycles deepness), which directly relates to the battery lifetime performance. This paper intends to fill this gap by analyzing the different methods under the same irradiance profile, and evaluating their capability to limit the RR and maintain the battery State of Charge (SOC) at the end of the day. Moreover, an analysis into the ESS capacity
requirements for each of the methods is quantified. Finally, an analysis of the battery cycles and its deepness is performed based on the well-established rainflow cycle counting method.
OriginalsprogEngelsk
TidsskriftEnergies
Vol/bind12
Udgave nummer7
Sider (fra-til)1-15
Antal sider15
ISSN1996-1073
DOI
StatusUdgivet - apr. 2019

Fingerprint

Rate Control
Energy Storage
Storage System
Battery
Energy storage
Control Algorithm
Comparative Study
Cycle
Irradiance
Fluctuations
Grid
Power generation
Smoothing Methods
Performance Comparison
Counting
Lifetime
Charge

Citer dette

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title = "Comparative Study of Ramp-Rate Control Algorithms for PV with Energy Storage Systems",
abstract = "The high variability of solar irradiance, originated by moving clouds, causes fluctuations in Photovoltaic (PV) power generation, and can negatively impact the grid stability. For this reason, grid codes have incorporated ramp-rate limitations for the injected PV power. Energy Storage Systems (ESS) coordinated by ramp-rate (RR) control algorithms are often applied for mitigating these power fluctuations to the grid. These algorithms generate a power reference to the ESS that opposes the PV fluctuations, reducing them to an acceptable value. Despite their common use, few performance comparisons between the different methods have been presented, especially from a battery status perspective. This is highly important, as different smoothing methods may require the battery tooperate at different regimes (i.e., number of cycles and cycles deepness), which directly relates to the battery lifetime performance. This paper intends to fill this gap by analyzing the different methods under the same irradiance profile, and evaluating their capability to limit the RR and maintain the battery State of Charge (SOC) at the end of the day. Moreover, an analysis into the ESS capacityrequirements for each of the methods is quantified. Finally, an analysis of the battery cycles and its deepness is performed based on the well-established rainflow cycle counting method.",
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Comparative Study of Ramp-Rate Control Algorithms for PV with Energy Storage Systems. / Rodrigues Martins, João Pedro; Spataru, Sergiu Viorel; Séra, Dezso; Stroe, Daniel-Ioan; Lashab, Abderezak.

I: Energies, Bind 12, Nr. 7, 04.2019, s. 1-15.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

TY - JOUR

T1 - Comparative Study of Ramp-Rate Control Algorithms for PV with Energy Storage Systems

AU - Rodrigues Martins, João Pedro

AU - Spataru, Sergiu Viorel

AU - Séra, Dezso

AU - Stroe, Daniel-Ioan

AU - Lashab, Abderezak

PY - 2019/4

Y1 - 2019/4

N2 - The high variability of solar irradiance, originated by moving clouds, causes fluctuations in Photovoltaic (PV) power generation, and can negatively impact the grid stability. For this reason, grid codes have incorporated ramp-rate limitations for the injected PV power. Energy Storage Systems (ESS) coordinated by ramp-rate (RR) control algorithms are often applied for mitigating these power fluctuations to the grid. These algorithms generate a power reference to the ESS that opposes the PV fluctuations, reducing them to an acceptable value. Despite their common use, few performance comparisons between the different methods have been presented, especially from a battery status perspective. This is highly important, as different smoothing methods may require the battery tooperate at different regimes (i.e., number of cycles and cycles deepness), which directly relates to the battery lifetime performance. This paper intends to fill this gap by analyzing the different methods under the same irradiance profile, and evaluating their capability to limit the RR and maintain the battery State of Charge (SOC) at the end of the day. Moreover, an analysis into the ESS capacityrequirements for each of the methods is quantified. Finally, an analysis of the battery cycles and its deepness is performed based on the well-established rainflow cycle counting method.

AB - The high variability of solar irradiance, originated by moving clouds, causes fluctuations in Photovoltaic (PV) power generation, and can negatively impact the grid stability. For this reason, grid codes have incorporated ramp-rate limitations for the injected PV power. Energy Storage Systems (ESS) coordinated by ramp-rate (RR) control algorithms are often applied for mitigating these power fluctuations to the grid. These algorithms generate a power reference to the ESS that opposes the PV fluctuations, reducing them to an acceptable value. Despite their common use, few performance comparisons between the different methods have been presented, especially from a battery status perspective. This is highly important, as different smoothing methods may require the battery tooperate at different regimes (i.e., number of cycles and cycles deepness), which directly relates to the battery lifetime performance. This paper intends to fill this gap by analyzing the different methods under the same irradiance profile, and evaluating their capability to limit the RR and maintain the battery State of Charge (SOC) at the end of the day. Moreover, an analysis into the ESS capacityrequirements for each of the methods is quantified. Finally, an analysis of the battery cycles and its deepness is performed based on the well-established rainflow cycle counting method.

KW - Solar PV

KW - Energy storage

KW - Ramp-rate control

KW - Fluctuations

KW - Grid

U2 - 10.3390/en12071342

DO - 10.3390/en12071342

M3 - Journal article

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SP - 1

EP - 15

JO - Energies

JF - Energies

SN - 1996-1073

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