During　the　heating　season　in　the　northwest　region　of　China,　there　are　severe　problems　in　wind　curtailment　and　load　shedding,　which　bring　about　great　challenges　for　the　traditional　multi-regional　combined　heat　and　power　system　to　achieve　the　rational　allocation　of　the　regional　resources.　This　study　proposes　a　coordinated　optimal　scheduling　model　for　combined　heat　and　power　systems　considering　multi-regional　interconnection.　Firstly,　to　describe　the　uncertainty　of　the　wind　power　output,　the　Gaussian　mixture　model-exponential　method　is　used　to　generate　a　set　of　wind　power　output　scenarios　considering　the　correlation　in　different　time　and　space　scales.　On　this　basis,　a　two-stage　stochastic　programming　scheduling　model　for　combined　heat　and　power　systems　is　established　based　on　the　purpose　of　“here-and-now”　and　“wait-and-see”,　taking　the　sum　of　the　day-ahead　operating　cost　and　the　real-time　adjustment　cost　as　the　optimization　objective.　While　optimizing　the　day-ahead　transmission　power　plan　of　the　inter-regional　tie-line,　the　power　adjustment　plan　of　the　tie-line　is　formulated　in　response　to　the　wind　power　fluctuations　that　may　occur　in　the　real-time　dispatch　stage,　so　as　to　realize　the　cross-regional　reserve　sharing　and　promote　the　wind　power　consumption.　Additionally,　the　alternating　direction　method　of　multipliers　is　implemented　to　solve　the　coordinated　optimal　problem　for　the　multi-regional　combined　heat　and　power　system.　The　simulation　results　show　that　the　proposed　model　is　able　to　optimize　the　allocation　of　the　power　generation　resources　and　reserve　capacity　in　each　region,　effectively　reducing　the　amount　of　wind　curtailment　and　load　shedding　and　decreasing　the　overall　operating　costs.　©　2022　Power　System　Technology　Press.　All　rights　reserved.