A Tri-Objective Model for Generator Maintenance Scheduling

Learnmore Moyo, Nnamdi I. Nwulu, Uduakobong E. Ekpenyong, Ramesh C. Bansal

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)


The complexity of power systems is increasing as new generating units are added to power systems in order to supply power to the growing economies. This has resulted in further research into the generator maintenance scheduling (GMS) problem which seeks to ensure optimal preventive maintenance scheduling that is effective and reliable. This research is focused on developing a generator maintenance schedule using a tri-objective model. The GMS tri-objective model is solved using two solution methodologies. The first is an exact solution method using mathematical modelling software, Advanced Interactive Multidimensional Modelling System (AIMMS). The second solution method is a recently developed metaheuristic algorithm called Exchange Market Algorithm (EMA). Results show that the tri-objective model finds a trade-off solution of the individual solution methods. The metaheuristic algorithm gives a better solution for larger optimization problems.

Original languageEnglish
Pages (from-to)136384-136394
Number of pages11
JournalIEEE Access
Publication statusPublished - 2021


  • exchange market algorithm
  • generator maintenance scheduling
  • tri-objective

ASJC Scopus subject areas

  • General Computer Science
  • General Materials Science
  • General Engineering


Dive into the research topics of 'A Tri-Objective Model for Generator Maintenance Scheduling'. Together they form a unique fingerprint.

Cite this