There　are　some　disadvantages　which　are　numerous　and　varied　indicators,　and　thus　high　equipment　costs　in　existing　AC　contactors＇　closing　dynamic　performance　evaluation.　Based　on　gray　correlation　cluster　theory,　this　paper　proposed　a　new　method　to　reduce　the　number　of　indicators　for　contactor＇s　performance　evaluation.　It　took　one　existing　indicator　set　proposed　by　Hebei　University　of　Technology　for　example.　Firstly,　the　existing　21　indicators　are　clustered　to　three　types:　important,　complementary　and　dispensable.　Secondly,　nine　different　and　typical　indicator　sets　including　the　these　types　are　proposed.　Nine　samples＇　closing　performance　are　evaluated　respectively　by　gray　clustering　correlation　theory.　The　better　indicator　set　is　ascertained　by　aiming　at　the　same　performance　classification　and　ranking.　Finally,　the　identified　set　is　verified　with　the　combined　method　based　on　gray　correlation　and　technique　for　order　preference　by　similarity　to　an　ideal　solution(TOPSIS)　theories,　and　the　method　of　indicator　reduction　is　proved　to　be　feasible　and　the　number　of　the　original　indicator　is　reduced　from　21　to　13.　It　will　be　helpful　for　indicator　reducing,　cost　saving　and　shortening　the　evaluation　process.　Moreover,　it　will　provide　theoretical　basis　for　dynamic　process　control　and　choosing　best　phase　angles　in　life　test　for　intelligent　contactors,　and　it　will　provide　references　for　choosing　appropriate　indicators　for　other　similar　electrical　products＇　evaluation.　©　2019　IEEE.