Due　to　the　advantages　of　reliability　and　economy,　multiple　adjacent　region　integrated　energy　systems　(IESs)　are　interconnected　to　form　a　multi-region　IES　through　multi-energy　network.　However,　the　limitation　on　private　data　exchange,　multi-uncertainty　and　the　complex　dynamic　characteristics　bring　challenges　to　the　optimal　scheduling　of　the　multi-region　IES.　This　paper　proposes　a　distributed　robust　cooperative　scheduling　method　for　the　multi-region　electricity–natural　gas–heat　IES　considering　the　dynamic　characteristics　and　the　uncertainties　of　wind　turbine　(WT)　and　electricity　load.　Firstly,　a　robust　scheduling　model　of　the　multi-region　IES　considering　dynamic　characteristics　and　the　uncertainties　is　built.　In　particular,　the　dynamic　transmission　models　of　gas　and　heating　networks　are　constructed,　and　a　regulation　model　of　virtual　heat　storage　is　built　to　control　the　virtual　heat　storage　in　district　heating　network　(DHN).　Further,　to　preserve　the　information　privacy　and　decision-making　independence　for　each　sub-region　IES,　a　distributed　cooperative　scheduling　framework　based　on　the　consensus-based　alternating　direction　method　of　multipliers　(ADMM)　is　developed　for　the　multi-region　IES,　where　the　original　robust　scheduling　model　is　decomposed　into　several　subproblems　that　are　solved　independently.　Moreover,　the　nonconvex　dynamic　natural　gas　flow　function　is　addressed　by　convex　relaxation　technique,　and　the　max–min　robust　model　with　binary　variables　is　solved　by　alternative　optimization　procedure　(AOP)　method　and　duality　theory.　Finally,　the　simulation　results　show　that　the　proposed　method　can　converge　reliably,　realize　the　balance　between　the　operation　cost　and　the　heat　loss　and　provide　a　flexible　scheduling　scheme　for　the　multi-region　IES.　©　2022