Design, implementation and model predictive based control of a mode-changeable DC/DC converter for hybrid renewable energy systems

Güler N., Irmak E.

ISA TRANSACTIONS, vol.114, pp.485-498, 2021 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 114
  • Publication Date: 2021
  • Doi Number: 10.1016/j.isatra.2020.12.023
  • Journal Name: ISA TRANSACTIONS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Applied Science & Technology Source, Communication Abstracts, Computer & Applied Sciences, EMBASE, INSPEC, MEDLINE
  • Page Numbers: pp.485-498
  • Keywords: Hybrid renewable energy system, Mode-changeable converter, Model predictive control, Multi-input multi-output system, DC-DC CONVERTER, BOOST CONVERTERS, MULTIPORT
  • Gazi University Affiliated: Yes


Since renewable energy sources such as PV and wind provide intermittent energy generation, this paper presents an advanced DC/DC converter that is able to set its operational mode automatically to either multi-input multi-output (MIMO) or single-input multi-output (SIMO) depending on the input source conditions. Power flow is controlled through the auxiliary relays added to a double-layer boost converter. Considering the transient events require fast dynamic response, model predictive control (MPC) is used to achieve the current control processes for both layers. Furthermore, the MPC is modified to adapt itself to changes in the topology. The proposed system is verified by simulations and experimentally. Results show that the proposed mode-changeable converter successfully determines the optimum power route after deciding the best operational mode in accordance with the input source conditions. Furthermore, the control method achieves a powerful and effective control process in both MIMO and SIMO modes. (C) 2020 ISA. Published by Elsevier Ltd. All rights reserved.