若对大规模并网运行的风电场继续延用粗放的预测粗差管理模式，则既不利于在保障风电场发电收益的前提下激发其主动改善并网品质、增强发电计划执行度的积极性，更不利于电网在降低调节负担或有效控制边际调节成本的基础上切实提高风能消纳空间。为此，从平等化风电场市场主体地位出发，探讨如何通过改善并网品质以增强发电计划或交易合同商业信誉度的方式，竞争更高上网电价、赚取更高发电收益的问题。具体的，提出了一种基于风电场并网风电品质的分级定价与梯级考核机制，即根据风电场申报的发电计划趋势曲线特征、计划容窄度、商业信誉度、违约处罚度等指标实施分级上网电价与梯级考核机制。在此基础上，建立了以风电场收益最大化为目标的日发电计划优化申报模型。算例表明，分级定价与梯级考核机制，相较于传统的预测粗差管理机制，可以更好地激励风电场提供优质并网风电、减轻电网调节负担，从而营造风电场和电网达成双赢的市场环境。

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.