With　the　growth　of　population　and　the　improvement　of　environmental　requirements,　sewage　treatment　plants　as　high　energy　consumption　facilities,　its　power　demand　will　continue　to　increase,　of　which　pumps　occupy　a　large　proportion.　In　view　of　the　high　energy　consumption　of　sewage　treatment　plant　pumps,　firstly,　the　optimal　scheduling　model　of　multi-type　pumps　running　in　parallel　is　established　by　analyzing　the　running　data　of　pumps.　Secondly,　particle　swarm　optimization　(PSO)　is　used　to　solve　the　parameters　of　the　pump,　and　on　the　basis　of　ensuring　the　normal　operation　of　the　water　plant,　the　number　and　frequency　of　opening　of　different　types　of　pumps　are　solved,　so　as　to　meet　the　demand　and　reduce　the　energy　consumption　of　the　pump　system.　Finally,　simulation　experiments　are　carried　out　using　MATLAB　platform　with　two　types　of　pumps,　industrial　frequency　and　variable　frequency,　to　verify　the　effectiveness　of　the　model　in　energy　saving.　©　2023　IEEE.