Affected　by　the　large　error　in　the　day-ahead　prediction　of　source　and　load,　the　multi-energy　microgrid　has　the　problems　that　the　change　range　of　the　optimal　dispatching　scheme　is　wide,　and　has　no　sufficient　margin　for　uncertainty.　To　solve　these　problems,　an　affine　optimal　dispatching　method　of　multi-energy　microgrid　based　on　model　predictive　control　is　proposed.　Firstly,　the　prediction　information　is　updated　continuously　to　ensure　the　accuracy　of　the　source　and　load　prediction.　On　this　basis,　the　affine　arithmetic　is　used　to　characterize　the　uncertainty　of　source　and　load　prediction.　Secondly,　an　affine　optimal　dispatching　model　is　embedded　in　the　rolling　optimization　and　the　affine　optimal　dispatching　model　is　solved　in　each　rolling　optimization.　Finally,　the　simulative　results　verify　that　the　proposed　method　can　effectively　reduce　the　conservativeness　of　the　optimal　dispatching　scheme　and　improve　the　ability　to　deal　with　uncertainty.　©　2024　Electric　Power　Automation　Equipment　Press.　All　rights　reserved.