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In this paper, a bilevel approach is used for modelling of the preventive maintenance scheduling problem. The upper level of this bilevel problem represents the revenue function of power units owned by a generation company (GENCO), whereas the lower-level problem represents the market-clearing process and is usually called the independent system operator (ISO) level. This bilevel problem is then formulated as a mathematical program with equilibrium constraints (MPEC) using the primal\u2013dual theorem, which converts the problem into a single-level mixed-integer non-linear optimization problem that can be solved using programming software. Various case studies are conducted using the IEEE reliability test system (RTS) and the obtained results are compared.<\/jats:p>","DOI":"10.1177\/0142331216659336","type":"journal-article","created":{"date-parts":[[2016,7,27]],"date-time":"2016-07-27T22:38:38Z","timestamp":1469659118000},"page":"436-445","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":11,"title":["MPEC approach for solving preventive maintenance scheduling of power units in a market environment"],"prefix":"10.1177","volume":"40","author":[{"given":"A","family":"Naebi Toutounchi","sequence":"first","affiliation":[{"name":"University of Mohaghegh Ardabili, Ardabil, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"SJ","family":"Seyed Shenava","sequence":"additional","affiliation":[{"name":"University of Mohaghegh Ardabili, Ardabil, 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