In　the　context　of　the　low-carbon　transition　of　power　systems,　hydrogen　energy,　characterized　by　zero　carbon　emissions　and　high　energy　density,　holds　significant　potential　for　application　in　integrated　electrical-gas-hydrogen　energy　systems.　To　fully　leverage　the　advantages　of　hydrogen　fuel　cell　vehicles　and　the　hydrogen　supply　chain　in　promoting　the　economical　and　reliable　operation　of　electrical-gas-hydrogen　systems,　this　paper　proposes　an　event-based　distributionally　robust　optimization　scheduling　model　for　integrated　electrical-gas-hydrogen　energy　systems　considering　the　demand　response　of　hydrogen　fuel　cell　vehicles.　Firstly,　a　hydrogen　refueling-discharging　demand　response　model　for　hydrogen　fuel　cell　vehicles　based　on　consumer　psychology　is　established,　where　a　utility　function　is　introduced　to　quantify　consumer　satisfaction　levels,　and　the　response　capacity　of　hydrogen　refueling-discharging　reflects　their　willingness　to　participate　in　scheduling.　Secondly,　a　hydrogen　supply　chain　model　incorporating　hydrogen　blending　and　hydrogen　transportation　(HT)　is　developed,　proposing　an　operation　mode　for　the　hydrogen　supply　chain　to　participate　in　system　cooperative　scheduling　considering　the　demand　response　of　hydrogen　fuel　cell　vehicles.　Furthermore,　to　address　the　uncertainty　of　wind　power　prediction　errors,　an　event-based　distributionally　robust　optimization　strategy　based　on　event-based　distribution　fuzzy　sets　is　proposed,　incorporating　discrete　scenario　information　into　the　traditional　probability　distribution　of　wind　power　prediction　errors　to　construct　event-based　distribution　fuzzy　sets.　An　event-based　affine　decision　rule　is　used　for　solving　the　problem.　Finally,　simulation　results　demonstrate　that　the　proposed　model　can　balance　the　economic　operation　of　the　system　and　enhance　its　ability　to　cope　with　wind　power　uncertainty.　©　2025　Power　System　Technology　Press.　All　rights　reserved.