In　this　paper,　a　day-ahead　wind-solar-hydro-thermal　coordinating　optimal　dispatch　with　pumped-storage　hydropower　integration　is　analyzed　in　order　to　make　full　utilization　of　renewable　energy　and　reduce　the　energy　consumption　of　thermal　power.　A　chance　constrained　programming　method　is　used　to　tackle　the　uncertainties　of　wind　and　solar　power.　A　mathematical　model　of　cascade　hydropower　system　with　pumped　storage　is　proposed.　A　day-ahead　wind-solar-hydro-thermal　optimal　scheduling　model　considering　pumped-storage　hydropower　integration　is　established　to　utilize　the　regulation　capacity　of　pumped-storage　and　reduce　the　fuel　cost.　The　coordinating　optimal　dispatch　model　is　solved　by　a　improved　heuristic　algorithm　according　to　decomposition　theory.　The　proposed　model　and　method　is　tested　in　numerical　simulation.　©　2018　IEEE.