Maintenance Scheduling in Power Electronic Converters Considering Wear-out Failures

Saeed Peyghami, Frede Blaabjerg, José Rueda Torres, Peter Palensky

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

2 Citations (Scopus)
16 Downloads (Pure)


Power electronic converters are one of failure sources in energy systems, and hence drivers of downtime costs in power systems. Different approaches can be employed for converter reliability enhancement including design/control for reliability methods, condition monitoring and fault diagnosis, and maintenance strategies. This paper proposes optimal preventive maintenance strategies based on wear-out failure model of converter components. The proposed approaches employ two different performance measures at converter-level and system-level. The converter-level measures take into account planned and unplanned maintenance times or costs in a single unit or small-scale system. Moreover, the system-level measure considers not only maintenance times, but also energy losses and additional maintenance costs induced by aging of the converter components. The outcome is optimal replacement time of converter and its components, which depends on the employed performance measure. Optimal replacement scheduling is of importance for risk management and decision-making during planning of modern power electronic based power systems. The applicability of the proposed approaches is illustrated by numerical analysis in a photovoltaic system.
Original languageEnglish
Title of host publication2020 22nd European Conference on Power Electronics and Applications (EPE'20 ECCE Europe)
Number of pages10
ISBN (Electronic)978-9-0758-1536-8
ISBN (Print)978-1-7281-9807-1
Publication statusPublished - 2020
EventEPE'20 ECCE EUROPE: 22nd European Conference on Power Electronics and Applications - Lyon, France
Duration: 7 Sep 202011 Sep 2020
Conference number: 22nd


ConferenceEPE'20 ECCE EUROPE

Bibliographical note

Accepted author manuscript


  • Reliability
  • Power electronics
  • Maintenance
  • Mission profile
  • Modeling
  • PV System


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