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

Yinghao Shan, Jiefeng Hu, J. M. Guerrero

Research output: Contribution to journalJournal articleResearchpeer-review

4 Citations (Scopus)
101 Downloads (Pure)

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-in-the-loop (CHIL) testing have been conducted on a PV-ESS system to verify the capability and effectiveness of the proposed control strategy.
Original languageEnglish
Article number8766341
JournalIEEE Transactions on Smart Grid
Volume11
Issue number2
Pages (from-to)1018-1029
Number of pages12
ISSN1949-3053
DOIs
Publication statusPublished - Mar 2020

Keywords

  • Model predictive control
  • dc-dc bidirectional converter
  • dc-ac converter
  • Voltage support
  • voltage support

Fingerprint Dive into the research topics of 'A Model Predictive Power Control Method for PV and Energy Storage Systems with Voltage Support Capability'. Together they form a unique fingerprint.

Cite this