Model Predictive Control of DC-DC Converters to Mitigate the Effects of Pulsed Power Loads in Naval DC Microgrids

Mohammad Mehdi Mardani, Mohammad Hassan Khooban, Ali Masoudian, Tomislav Dragicevic

Research output: Contribution to journalJournal articleResearchpeer-review

12 Citations (Scopus)
65 Downloads (Pure)

Abstract

This paper proposes the design of optimal and robust coordinated controller of hybrid energy storage system in a naval dc microgrid (MG) application. It is able to mitigate the negative effects of the pulsed power loads and meet the practical limitations of both converters input control and state variables signals based on IEEE standards. To do this, first, the dynamic model of the dc MG, which can represent in either all-electric aircraft or shipboard power systems, is developed. Second, a novel model predictive controller (MPC) for energy storage converters is proposed such that all of the mentioned hard constraints are guaranteed. Third, a linear matrix inequality approach is used to solve the MPC conditions. Finally, to evaluate the applicability and effectiveness of the proposed approach, some experimental tests are extracted. Obtained results verify better performance of the proposed approach over other state-of-the-art control techniques.

Original languageEnglish
Article number8511074
JournalI E E E Transactions on Industrial Electronics
Volume66
Issue number7
Pages (from-to)5676-5685
Number of pages10
ISSN0278-0046
DOIs
Publication statusPublished - 1 Jul 2019

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Model predictive control
DC-DC converters
Energy storage
Controllers
Linear matrix inequalities
Dynamic models
Aircraft

Keywords

  • Control of DC-DC converters
  • model predictive control (MPC)
  • naval dc microgrid (MG)
  • pulsed power loads (PPLs)

Cite this

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title = "Model Predictive Control of DC-DC Converters to Mitigate the Effects of Pulsed Power Loads in Naval DC Microgrids",
abstract = "This paper proposes the design of optimal and robust coordinated controller of hybrid energy storage system in a naval dc microgrid (MG) application. It is able to mitigate the negative effects of the pulsed power loads and meet the practical limitations of both converters input control and state variables signals based on IEEE standards. To do this, first, the dynamic model of the dc MG, which can represent in either all-electric aircraft or shipboard power systems, is developed. Second, a novel model predictive controller (MPC) for energy storage converters is proposed such that all of the mentioned hard constraints are guaranteed. Third, a linear matrix inequality approach is used to solve the MPC conditions. Finally, to evaluate the applicability and effectiveness of the proposed approach, some experimental tests are extracted. Obtained results verify better performance of the proposed approach over other state-of-the-art control techniques.",
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Model Predictive Control of DC-DC Converters to Mitigate the Effects of Pulsed Power Loads in Naval DC Microgrids. / Mardani, Mohammad Mehdi; Khooban, Mohammad Hassan; Masoudian, Ali; Dragicevic, Tomislav.

In: I E E E Transactions on Industrial Electronics, Vol. 66, No. 7, 8511074, 01.07.2019, p. 5676-5685.

Research output: Contribution to journalJournal articleResearchpeer-review

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AU - Mardani, Mohammad Mehdi

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AU - Masoudian, Ali

AU - Dragicevic, Tomislav

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AB - This paper proposes the design of optimal and robust coordinated controller of hybrid energy storage system in a naval dc microgrid (MG) application. It is able to mitigate the negative effects of the pulsed power loads and meet the practical limitations of both converters input control and state variables signals based on IEEE standards. To do this, first, the dynamic model of the dc MG, which can represent in either all-electric aircraft or shipboard power systems, is developed. Second, a novel model predictive controller (MPC) for energy storage converters is proposed such that all of the mentioned hard constraints are guaranteed. Third, a linear matrix inequality approach is used to solve the MPC conditions. Finally, to evaluate the applicability and effectiveness of the proposed approach, some experimental tests are extracted. Obtained results verify better performance of the proposed approach over other state-of-the-art control techniques.

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