As　the　interdependency　between　natural　gas　system　and　power　system　is　significantly　close　and　the　integration　of　renewable　energy　with　uncertainty　and　volatility　greatly　increased　in　the　last　decades,　the　operation　security　and　economics　of　the　gas-electricity　integrated　energy　system　has　attracted　growing　concerns.　A　two-stage　distributionally　robust　optimization　(DRO)　model　is　proposed　to　study　the　coordination　optimization　scheduling　for　this　multi-energy　coupled　system　considering　wind　power　uncertainty.　Integrating　the　advantages　of　stochastic　programming　and　traditional　adjustable　robust　optimization　(ARO),　DRO　aims　to　minimize　the　expectation　of　the　operation　cost　under　the　worst-case　distribution　over　an　ambiguity　set.　The　operation　constraints　of　the　above　two　energy　subsystems　are　fully　considered,　moreover,　the　feasibility　check　subproblem　for　the　reserve　capacity　configuration　by　gas-fired　units　is　built.　As　a　result,　the　DRO　model　is　solved　in　a　master-subproblem　framework.　A　case　study　is　implemented　on　a　6-bus　power　system　with　a　7-node　natural　gas　system　to　demonstrate　the　superiority　of　the　proposed　DRO　model　compared　to　the　existing　ARO　and　data-driven　DRO　models.　Furthermore,　the　modified　IEEE　24-bus　system　with　a　10-node　gas　system　is　used　to　verify　the　effectiveness　and　practicability　of　the　proposed　model.　(C)　2018　Elsevier　Ltd.　All　rights　reserved.