A Model Predictive Power Control Method for PV and Energy Storage Systems with Voltage Support Capability

Yinghao Shan, Jiefeng Hu, J. M. Guerrero

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

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Resumé

The cascaded control method with an outer voltage loop and an inner current loop has been traditionally employed for the voltage and power control of photovoltaic (PV) inverters. This method, however, has very limited power regulation capability. With the fast increasing penetration of PV power generation systems in the distribution network, the voltage rise/drop has become a serious problem impacting negatively on the power quality and grid stability. Therefore, flexible power regulation is highly desired for PV inverters to provide ancillary services. This paper proposes a novel model predictive power control (MPPC) scheme to control and coordinate the dc-dc converter and inverter for grid-connected PV systems with energy storage systems (ESS). By regulating the dc-bus voltage and controlling the active and reactive power flows, MPPC can support the power grid to maintain stable voltage and frequency and improve the power factor. Numerical simulation and controller hardware-inthe-loop (CHIL) testing have been conducted on a PV-ESS system to verify the capability and effectiveness of the proposed control strategy.
OriginalsprogEngelsk
TidsskriftIEEE Transactions on Smart Grid
ISSN1949-3053
DOI
StatusE-pub ahead of print - 2020

Fingerprint

Power control
Energy storage
Electric potential
Power quality
Reactive power
Electric power distribution
Voltage control
Computer hardware
Power generation
Controllers
Computer simulation
Testing
Voltage drop

Emneord

  • Inverters
  • Voltage control
  • Reactive power
  • DC-DC power converters
  • Stability analysis
  • Load flow
  • Power control
  • Model predictive control
  • dc-dc bidirectional converter
  • dc-ac converter
  • voltage support.

Citer dette

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title = "A Model Predictive Power Control Method for PV and Energy Storage Systems with Voltage Support Capability",
abstract = "The cascaded control method with an outer voltage loop and an inner current loop has been traditionally employed for the voltage and power control of photovoltaic (PV) inverters. This method, however, has very limited power regulation capability. With the fast increasing penetration of PV power generation systems in the distribution network, the voltage rise/drop has become a serious problem impacting negatively on the power quality and grid stability. Therefore, flexible power regulation is highly desired for PV inverters to provide ancillary services. This paper proposes a novel model predictive power control (MPPC) scheme to control and coordinate the dc-dc converter and inverter for grid-connected PV systems with energy storage systems (ESS). By regulating the dc-bus voltage and controlling the active and reactive power flows, MPPC can support the power grid to maintain stable voltage and frequency and improve the power factor. Numerical simulation and controller hardware-inthe-loop (CHIL) testing have been conducted on a PV-ESS system to verify the capability and effectiveness of the proposed control strategy.",
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A Model Predictive Power Control Method for PV and Energy Storage Systems with Voltage Support Capability. / Shan, Yinghao; Hu, Jiefeng; Guerrero, J. M.

I: IEEE Transactions on Smart Grid, 2020.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

TY - JOUR

T1 - A Model Predictive Power Control Method for PV and Energy Storage Systems with Voltage Support Capability

AU - Shan, Yinghao

AU - Hu, Jiefeng

AU - Guerrero, J. M.

PY - 2020

Y1 - 2020

N2 - The cascaded control method with an outer voltage loop and an inner current loop has been traditionally employed for the voltage and power control of photovoltaic (PV) inverters. This method, however, has very limited power regulation capability. With the fast increasing penetration of PV power generation systems in the distribution network, the voltage rise/drop has become a serious problem impacting negatively on the power quality and grid stability. Therefore, flexible power regulation is highly desired for PV inverters to provide ancillary services. This paper proposes a novel model predictive power control (MPPC) scheme to control and coordinate the dc-dc converter and inverter for grid-connected PV systems with energy storage systems (ESS). By regulating the dc-bus voltage and controlling the active and reactive power flows, MPPC can support the power grid to maintain stable voltage and frequency and improve the power factor. Numerical simulation and controller hardware-inthe-loop (CHIL) testing have been conducted on a PV-ESS system to verify the capability and effectiveness of the proposed control strategy.

AB - The cascaded control method with an outer voltage loop and an inner current loop has been traditionally employed for the voltage and power control of photovoltaic (PV) inverters. This method, however, has very limited power regulation capability. With the fast increasing penetration of PV power generation systems in the distribution network, the voltage rise/drop has become a serious problem impacting negatively on the power quality and grid stability. Therefore, flexible power regulation is highly desired for PV inverters to provide ancillary services. This paper proposes a novel model predictive power control (MPPC) scheme to control and coordinate the dc-dc converter and inverter for grid-connected PV systems with energy storage systems (ESS). By regulating the dc-bus voltage and controlling the active and reactive power flows, MPPC can support the power grid to maintain stable voltage and frequency and improve the power factor. Numerical simulation and controller hardware-inthe-loop (CHIL) testing have been conducted on a PV-ESS system to verify the capability and effectiveness of the proposed control strategy.

KW - Inverters

KW - Voltage control

KW - Reactive power

KW - DC-DC power converters

KW - Stability analysis

KW - Load flow

KW - Power control

KW - Model predictive control

KW - dc-dc bidirectional converter

KW - dc-ac converter

KW - voltage support.

KW - Model predictive control

KW - dc-dc bidirectional converter

KW - dc-ac converter

KW - Voltage support

U2 - 10.1109/TSG.2019.2929751

DO - 10.1109/TSG.2019.2929751

M3 - Journal article

JO - I E E E Transactions on Smart Grid

JF - I E E E Transactions on Smart Grid

SN - 1949-3053

ER -