Predictive gross error management mode has been widely used in large-scale grid-connected wind farms. However, this mode can't stimulate farms to improve wind power quality and enhance schedule execution on the premise of guaranteeing the revenue of power generation, also can't help the grid to improve wind power absorption on the basis of reducing the burden of regulation or effectively controlling the marginal cost of regulation. From the subject status equality of wind power market, this paper explored how to enhance the commercial credit of schedule or contract through improving wind power quality for competing higher price and revenue, and proposed a new stepped pricing and penalizing mechanism based on the wind power quality. The mechanism evaluates wind power grades based on the trend curve characteristics, deviation tolerance, and credibility and deviation penalty of power generation schedules declared by wind power farms. For different grades of schedules, the corresponding stepped prices and penalties are adopted. On this basis, an optimal declaring model of daily power generation schedule of wind farm was proposed for maximizing its revenue. Results of case analysis show that the proposed new mechanism can more effectively stimulate wind farms to sell high-quality wind power, and hence to reduce the regulation burden of grid and create a win-win market environment for farms and grids.