Carbon　cap-and-trade　mechanisms　(CCT)　and　renewable　portfolio　standards　(RPS)　have　been　identified　as　effective　administrative　instruments　for　steering　the　conduct　of　electricity　generation　and　promoting　the　adoption　of　renewable　energy　sources.　However,　the　synergistic　effects　of　these　policies　are　often　overlooked,　and　static　implementation　can　limit　their　effectiveness.　To　address　these　gaps,　this　study　employs　a　dynamic　CCT　and　RPS　framework,　utilizing　complex　network　evolutionary　game　theory　to　examine　their　influence　on　renewable　energy　diffusion.　The　findings　reveal　a　distinct　synergy　between　CCT　and　RPS　in　enhancing　renewable　energy　diffusion,　although　these　policies　may　occasionally　result　in　redundancy　or　conflict.　A　static　CCT　combined　with　a　dynamic　RPS　demonstrates　greater　efficacy　in　promoting　renewable　energy　diffusion,　while　a　dynamic　CCT　does　not　consistently　increase　renewable　energy　adoption.　Additionally,　renewable　energy　quota　standards　facilitate　higher　levels　of　diffusion.　In　perfectly　competitive　markets,　renewable　energy　diffusion　is　more　effective　than　in　monopolistic　environments.　These　insights　offer　valuable　policy　suggestions　for　stimulating　renewable　energy　diffusion　and　expediting　high-quality,　low-carbon　transitions.　©　2023