When　it　comes　to　the　problem　of　unknown　line　parameters,　state　estimation　is　one　of　the　effective　methods　to　identify　the　line　parameters,　but　state　estimation　requires　that　the　whole　network　can　be　observed.　Aiming　at　the　problem　that　phasor　measurement　unit　(PMU)　configuration　cost　and　technical　limitations　cannot　meet　the　observability　of　the　whole　network,　this　paper　uses　the　data　of　power　quality　monitoring　device　(PQMD)　as　a　supplement　to　the　PMU　measurement　data.　In　this　paper,　a　method　for　estimating　the　parameters　of　distribution　network　lines　based　on　interval　harmonic　state　estimation　and　predictive　correction　is　proposed.　The　measured　data　and　line　parameters　are　described　as　affine　interval　variable　to　be　solved　alternately,　which　are　less　conservative　and　have　higher　parameter　accuracy　than　traditional　interval　algorithms.　©　2023　IEEE.