With　the　development　of　modern　society,　the　scale　of　the　power　system　is　rapidly　increased　accordingly,　and　the　framework　and　mode　of　running　of　power　systems　are　trending　towards　more　complexity.　It　is　nowadays　much　more　important　for　the　dispatchers　to　know　exactly　the　state　parameters　of　the　power　network　through　state　estimation.　This　paper　proposes　a　robust　power　system　WLS　state　estimation　method　integrating　a　wide-area　measurement　system　(WAMS)　and　SCADA　technology,　incorporating　phasor　measurements　and　the　results　of　the　traditional　state　estimator　in　a　post-processing　estimator,　which　greatly　reduces　the　scale　of　the　non-linear　estimation　problem　as　well　as　the　number　of　iterations　and　the　processing　time　per　iteration.　This　paper　firstly　analyzes　the　wide-area　state　estimation　model　in　detail,　then　according　to　the　issue　that　least　squares　does　not　account　for　bad　data　and　outliers,　the　paper　proposes　a　robust　weighted　least　squares　(WLS)　method　that　combines　a　robust　estimation　principle　with　least　squares　by　equivalent　weight.　The　performance　assessment　is　discussed　through　setting　up　mathematical　models　of　the　distribution　network.　The　effectiveness　of　the　proposed　method　was　proved　to　be　accurate　and　reliable　by　simulations　and　experiments.　©　2015　by　the　authors.