Multi-objective　optimal　control　is　often　used　to　deal　with　conflicting　objectives　of　the　wastewater　treatment　process　(WWTP)　to　ensure　its　operational　safety　and　reliability.　However,　the　existing　multi-objective　optimal　control　methods　mainly　analyze　the　optimization　process　and　control　process　independently,　which　may　make　the　set-points　fluctuate　largely　and　hard　to　track,　thereby　degrading　the　control　and　operation　performance　of　WWTP.　To　solve　this　problem,　a　multi-objective　integrated　optimal　control　(MIOC)　strategy　is　proposed　for　WWTP　in　this　paper.　The　integrated　optimal　control　structure　is　established　by　the　multi-objective　model　predictive　control　framework　to　achieve　the　coordinated　optimization　and　control　solution.　In　the　integrated　optimal　control　structure,　first,　a　comprehensive　cost　function　with　operation　indices　and　tracking　errors　is　designed　to　deal　with　the　conflicting　objectives.　Second,　a　multi-gradient　algorithm　is　employed　to　evaluate　the　dynamic　set-points　and　control　laws.　Third,　the　stability　analysis　of　MIOC　is　given　to　prove　the　proposed　method　can　stabilize　the　system.　Meanwhile,　the　proposed　MIOC　method　is　tested　in　the　Benchmark　Simulation　Model　No.　1　to　demonstrate　that　it　can　achieve　suitable　operation　performance　with　satisfactory　control　accuracy.　©　2022　Elsevier　Ltd