Resources　and　environmental　crises　are　involved　in　energy　management　system,　confronting　a　larger　amount　of　coal　consumption　and　GHG　emission　during　structure　adjustment　plan　making　in　China.　In　this　study,　a　GHG-mitigation　oriented　and　coal-consumption　constrained　inexact　robust　energy　system　management　model　is　developed　for　adjusting　regional　power　structure　and　analyzing　the　effects　of　different　policy　instruments　on　the　performance　of　power　system.　The　proposed　model　is　a　hybrid　methodology　of　interval　two-stage　stochastic　programming　and　stochastic　robust　programming.　It　can　handle　uncertainties　presented　as　discrete　intervals　and　probability　distributions,　and　reflect　the　tradeoff　between　system　costs　and　the　tractability　under　different　policy　scenarios.　The　proposed　model　was　applied　to　a　case　study　of　Jiangsu　Province,　a　developed　region　within　the　total　coal　consumption　control　pilot　area　of　China.　The　results　revealed　that　ambitious　carbon　emission　and　coal　consumption　reduction　targets　would　promote　the　utilization　and　development　of　renewable　energy.　Stricter　carbon　emission　caps　were　shown　to　be　more　efficient　than　coal　consumption　cap　policies　for　encouraging　investment　in　renewable　energy　generation,　especially　wind　power.　If　over　15%　carbon　emission　reduction　target　was　carried　out,　the　recent　coal　consumption　control　policy　would　have　little　impact　on　the　electricity　system　development.　(C)　2018　Elsevier　Ltd.　All　rights　reserved.