The　existing　uncertain　harmonic　power　flow　algorithms　usually　adopt　the　typical　theoretical　spectrum　to　describe　the　harmonic　emission　characteristics　of　the　renewable　energy　generation　without　taking　into　account　the　influence　of　the　control　strategies　on　the　operation　uncertainty.　So　it　is　difficult　to　accurately　analyze　the　harmonic　interaction　between　the　renewable　energy　generation　and　the　nonlinear　users.　In　order　to　solve　the　above　problems,　a　system　uncertainty　model　based　on　the　affine　arithmetic　is　established　and　an　affine　harmonic　power　flow　algorithm　considering　the　influence　of　the　renewable　energy　control　strategies　is　proposed.　Firstly,　taking　into　account　the　meteorological　and　the　background　harmonic　uncertainties,　the　affine　models　of　the　harmonic　sources　for　the　wind　power　generation　and　photovoltaic　power　generation　are　established　to　describe　the　uncertain　harmonic　emission　characteristics　of　the　renewable　energy　generation.　Then,　the　power　characteristics　of　the　renewable　energy　generation　under　different　reactive　power　control　strategies　are　analyzed,　and　the　affine　models　of　the　network　interface　for　the　renewable　energy　generation　are　constructed.　On　this　basis,　the　successive　over-relaxation　iteration　is　used　to　solve　the　affine　equation　of　the　harmonic　power　flow,　and　the　interval　range　of　the　harmonic　voltage　is　obtained.　At　the　same　time,　the　dimension　of　the　iteration　equation　is　reduced　by　solving　the　harmonic　source　nodes　and　the　linear　nodes　separately.　After　that,　the　influence　degree　of　the　uncertain　harmonic　current　of　the　renewable　energy　generation　on　the　grid　harmonic　voltage　is　quantified,　and　the　source　of　the　grid　harmonic　voltage　uncertainty　is　traced.　Finally,　the　feasibility　and　effectiveness　of　the　proposed　algorithm　are　verified　by　simulation　and　case　analysis.　©　2023　Power　System　Technology　Press.　All　rights　reserved.