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With the advent of renewable energy, the electricity market needs to be reassessed and adjusted to maintain market fairness and stability. The starkelberg game model is established in which wind power enterprises act as leaders, their output is the profit-maximizing yield which constrained by the response function of the manufacturer (market operator). Taking other constraints into consideration, a multi-objective optimization model is established to find the starkelberg equilibrium strategy. Keep the system in equilibrium, in order to make better use of renewable energy, market operators change rules and state: increase the elasticity of demand, expanding market capacity, giving new energy subsidies. And wind power delivery deviations are punished by floating fine, companies take measure in advance in response to punish. The results show that under the condition of market equilibrium wind power enterprises can gain more profits than traditional model.

The fuzzy comprehensive evaluation method of AHP and the objective weight calculation method of coefficient of variation are applied to the selection analysis of wind turbine. First of all, the related factors that affect wind turbine selection were carried on a thorough analysis and study, then choose economic indicators and technical indicators, wind power matching degree index, manufacturers technical service four categories as the primary evaluation indexes, and consists of multiple secondary indexes respectively, established a comprehensive score evaluation model of wind turbine; Secondly, a specific case using the fuzzy comprehensive evaluation method and the coefficient of variation method are given, deriving the weight of each indicator under a specific premise. At last, the model selection scheme of the optimal wind turbine in the actual wind farm is given, which is matched with the existing literature conclusion, and the reliability of the model is verified.