Faced　with　uncertain　heating　supply　task　in　heating　season,　the　combined　heat　and　power　(CHP)　unit　groups　in　＇Three　North　Areas＇　of　China　with　considerable　capacity　of　wind　power　often　operate　in　heat-controlled　mode　with　limited　flexibility,　which　exacerbates　the　wind　power　curtailment.　In　order　to　further　improve　the　operation　flexibility　of　CHP　unit　group　and　the　wind　power　penetration　level,　a　hybrid　system　based　on　CHP　unit　group　embedded　with　electrical　boiler　subsystem　and　combined　heat　and　compressed　air　energy　storage　(CH-CAES)　subsystem　is　proposed.　A　novel　operation　strategy　on　power　generation　side　considering　device　reserve　constraints　and　transient　behaviors　is　put　forward.　Then,　a　bi-level　optimization　algorithm　based　on　multi-objective　particle　swarm　optimization　(MOPSO)　and　technique　for　order　preference　by　similarity　to　an　ideal　solution　(TOPSIS)　method　is　utilized.　Finally,　a　completed　heat　season　case　is　conducted　to　investigate　the　dynamic　behaviors　and　the　performance　of　the　improved　system.　The　simulation　results　of　optimal　plan　mainly　dominated　by　ratio　of　abandoned　wind　(ROAW)　show　that　energy　and　exergy　efficiencies　with　remaining　stored　energy　can　be　improved　by　3.52　%　and　2.86　%　compared　with　the　basic　system,　respectively.　For　the　economic　performance,　the　levelized　cost　of　heat　(LCOH)　drops　by　43.56　%　while　levelized　cost　of　electricity　(LCOE)　increases　by　4.99　%.　In　the　environmental　aspect,　the　coal　consumption,　CO2　and　SO2　emission　can　reduce　by　7.35　%,　7.34　%　and　7.35　%,　respectively.　The　result　shows　that　the　improved　system　can　decrease　the　curtailed　wind　power　significantly　and　boost　the　CHP　operation　flexibility　remarkably.　Meanwhile,　the　dynamic　behaviors　of　system　components　in　reasonable　scope　mean　that　the　fluctuant　renewable　energy　can　be　eliminated　efficiently,　validating　the　effectiveness　of　the　proposed　system　in　high　shared　wind　region　simultaneously.　©　2022　Elsevier　Ltd