If the uncertainty of wind power is taken into account in the static economic dispatch（SED） model， the traditional equal incremental cost criterion（EICC） will be ineffective. The reason is that the objective function will include the items of overestimation and underestimation costs which do not have analytical differential. Modern optimization algorithms are commonly used but restricted in practical projects. To deal with this problem， an approximate function is used to simulate wind power forecasted errors which obeys the normal distribution law. Therefore， the analytical differential of the objective function can be obtained and the SED problem incorporating wind power uncertainty can be solved with the EICC method. The novel EICC method provides an analytical way to find the effects of each type of factors on scheduled wind power， pollution emissions and system operating costs. Case study results meet the principle of economics and show the effects of economic and policy factors on the economic dispatch effectively. The method proposed can support the policy-making of renewable energy from a macro level.