A Model-Based Design Approach for Stability Assessment, Control Tuning and Verification in Off-Grid Hybrid Power Plants

Lennart Petersen, Florin Iov, German Claudio Tarnowski*

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

9 Citations (Scopus)
427 Downloads (Pure)

Abstract

This paper proposes a detailed and practical guidance on applying model-based design (MBD) for voltage and frequency stability assessment, control tuning and verification in off-grid hybrid power plants (HPPs) comprising both grid-forming and grid-feeding inverter units as well as synchronous generation. First, the requirement specifications are defined by means of system, functional and model requirements. Secondly, a modular approach for state-space modelling of the distributed energy resources (DERs) is presented. Flexible merging of subsystems by properly defining in- and output vectors is highlighted to describe the dynamics of the HPP during various operating states. Eigenvalue (EV) and participation factor (PF) analyses demonstrate the necessity of assessing small-signal stability over a wide range of operational scenarios. A sensitivity analysis shows the impact of relevant system parameters on critical EVs and enables to finally design and tune the central HPP controller (HPPC). The rapid control prototyping and control verification stages are accomplished by means of discrete-time domain models being used in both off-line simulation studies and real-time hardware-in-the-loop (RT-HIL) testing. The outcome of this paper is targeted at off-grid HPP operators seeking to achieve a proof-of-concept on stable voltage and frequency regulation. Nonetheless, the overall methodology is applicable to on-grid HPPs, too.
Original languageEnglish
JournalEnergies
Volume13
Issue number1
Number of pages27
ISSN1996-1073
DOIs
Publication statusPublished - Dec 2019

Keywords

  • Hybrid power plant
  • Off-grid electricity systems
  • Model-based design
  • State-space model
  • Voltage stability
  • Frequency stability
  • Small-signal analysis
  • Control tuning
  • Controller validation

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