The　lack　of　system　peak　regulation　capacity　causes　large-scale　wind　power　curtailment　at　the　load　valley,　which　becomes　one　of　the　main　reasons　for　limiting　wind　acceptance　level.　The　peak　regulation　right　trading　can　motivate　the　peak　regulation　potential　of　thermal　units,　which　increases　the　second　accommodation　of　wind　power.　The　wind　power　is　introduced　into　the　peak　regulation　right　trading　model　and　the　market　mode　of　wind　power　participating　in　peak　regulation　right　trading　is　proposed.　The　benefits　of　wind　farms　and　costs　of　thermal　units　in　the　peak　regulation　right　trading　are　analyzed,　and　a　peak　regulation　right　trading　model　is　established,　which　takes　maximum　social　benefit　and　maximum　second　acceptance　capacity　of　wind　power　as　its　multi-objectives,　and　solved　by　MOPSO(Multi-Objective　Particle　Swarm　Optimization)　algorithm.　Simulative　results　of　IEEE　14-bus　test　system　verify　the　effectiveness　of　the　proposed　model.　©　2017,　Electric　Power　Automation　Equipment　Press.　All　right　reserved.