Conventional　harmonic　responsibility　determination　methods　have　shortages　such　as　the　inability　to　achieve　long-time　scale　dynamic　responsibility　determination,　the　need　for　special　measurement,　the　inability　to　utilize　the　data　of　existing　monitoring　systems,　and　the　inability　to　determine　the　harmonic　responsibilities　of　users　on　the　same　feeder.　Thus,　this　paper　proposes　a　determination　method　of　user　harmonic　responsibility　based　on　correlation　analysis　of　monitoring　data.　Firstly,　the　monitoring　data　are　collected,　including　the　harmonic　voltage　data　from　the　power　quality　monitoring　system　and　the　average　active　power　data　of　each　user　from　the　power　information　collection　system.　By　the　canonical　correlation　coefficients　based　on　these　data,　the　harmonic　responsibility　at　the　point　of　common　coupling　(PCC)　is　divided　into　the　background　harmonic　responsibility　and　the　harmonic　responsibility　of　concerned　users.　Secondly,　the　dynamic　distortion　correlation　coefficients　of　harmonic　voltage　and　active　power　of　each　user　are　calculated,　which　are　used　to　reflect　the　relationship　between　user　power　consumption　behavior　and　harmonic　voltage　distortion　at　PCC.　Finally,　the　long-time　scale　index　for　harmonic　responsibility　determination　is　developed　with　consideration　of　the　relationship　and　user　power　consumption　capacity.　The　validity　and　practicability　of　the　proposed　method　are　verified　by　the　data　in　the　actual　monitoring　system,　and　the　long-time　scale　dynamic　harmonic　responsibility　determination　of　each　user　on　the　feeder　can　be　realized　based　on　the　existing　monitoring　data.　©　2020　Automation　of　Electric　Power　Systems　Press.