研究了含风电场电力系统动态经济调度的影响因素，在风电功率全额上网的基础上，通过优化常规火电机组出力，实现动态经济调度。优化模型中引入了正、负旋转备用约束，以应对风电功率预测误差给系统调度带来的影响；在目标函数中计及了常规火电机组的阀点效应带来的能耗成本。针对优化模型的不可微和多峰值特性，采用光滑化处理技术，并提出粒子群内点混合优化策略。实例验证表明，所提出的动态经济调度模型合理，算法具有很好的实用价值。

This paper analyzed the effect factors of dynamic economic dispatch in wind power integrated system. Based on the full utilization of wind energy, the power output of thermal unit was optimized to obtain an optimum economic dispatch scheme. In the optimization model the constraints of up spinning reserve and down spinning reserve were introduced to deal with the influence of wind power forecast errors on dynamic economic dispatch, and valve point effect was considered in the objective function. A hybrid particle swarm and interior point optimization algorithm with smoothing technology was presented to solve the optimization model with the characteristics of non-differentiable and multi-peak-value. Numerical experiments demonstrate the rationality of optimization model and great practical value of proposed hybrid strategy.