The　dynamic　characteristics　of　heat　network　bring　the　energy　transmission　delay　and　make　the　influence　of　the　spatial　uncertainty　sources　different　in　time.　It　leads　to　the　day-ahead　dispatch　of　combined　electric　and　heat　system　into　a　complex　spatiotemporal　coupling　problem.　Therefore,　an　affine　optimization　method　considering　the　dynamic　characteristics　is　proposed.　First,　the　flow　segmentation　method　and　the　node　network　model　are　used　to　establish　a　heat　network　dynamic　model,　considering　transmission　delay　and　suitable　for　looped　network.　On　this　basis,　through　the　linearization　modeling　and　the　model　convexification,　the　affine　convex　optimization　model　is　established　by　the　affine　algorithm　and　the　Newton-Raphson　energy　flow　calculation　principle.　Then,　the　uncertain　optimization　dispatch　problem　of　the　system　is　solved　by　the　affine　optimization　method,　while　keeping　track　of　the　uncertainty　sources　and　quantifying　their　influence.　Finally,　the　simulations　are　carried　out　on　a　33-nodes　combined　electric　and　heat　system.　The　results　show　that　the　proposed　method　can　reveal　the　influence　mechanism　of　uncertainty　sources　under　the　dynamic　characteristics　of　network,　and　obtain　a　scheme　with　low　conservativeness　and　high　economy.　©2024　Chin.Soc.for　Elec.Eng.