Acausal Modelling and Dynamic Simulation of the Standalone Wind-Solar Plant using Modelica

Arash M. Dizqah*, Alireza Maheri, Krishna Busawon, Peter Fritzson

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)


In order to design model-based controllers applicable to hybrid renewable energy systems (HRES), it is essential to model the HRES mathematically. In this study, a standalone HRES, consisting of a photovoltaic (PV) array, a lead-acid battery bank, a pitch-controlled wind turbine, and a three-phase permanent magnet synchronous generator (PMSG), supplies a variable DC load demand through two boost-and buck-type DC-DC converters. It is shown that the mathematical model of the HRES can be represented by a system of nonlinear hybrid differential algebraic equations (hybrid DAEs). The developed model in this paper employs the Modelica language that allows object-oriented and acausal modelling of the multimode systems. The OpenModelica environment is utilised to compile the model and simulate the system. It is shown that the simulation provides a sufficiently accurate prediction of all the differential and algebraic states including mode transitions. The results of the simulation show a good match with the information available in the components datasheet.

Original languageEnglish
Title of host publication2013 UKSim 15th International Conference on Computer Modelling and Simulation
EditorsDavid Al-Dabass, Alessandra Orsoni, Jasmy Yunus, Richard Cant, Zuwairie Ibrahim
PublisherIEEE Press
Number of pages6
ISBN (Electronic)978-0-7695-4994-1
ISBN (Print)978-1-4673-6421-8
Publication statusPublished - 2013
EventUKSim-AMSS 15th International Conference on Computer Modelling and Simulation (UKSim) - Cambridge
Duration: 10 Apr 201312 Apr 2013


ConferenceUKSim-AMSS 15th International Conference on Computer Modelling and Simulation (UKSim)


  • photovoltaic (PV)
  • battery
  • wind turbine
  • hybrid renewable energy system (HRES)
  • acausal modelling
  • hybrid DAE
  • Modelica

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