【摘要】 提出了一种在现有电源结构水平下利用弃风优化风电场装机容量的方法。在满足系统静态安全约束的条件下,基于机会规划约束,建立了以风电场净收益最大为目标、计及弃风的风电场最优装机容量模型。在此基础上,以小时为时间尺度,将风电不同季节、不同时刻调峰特性对弃风电量的影响引入最优模型,通过精细化模型得到统计意义上更为合理的最优装机容量。最后,以IEEE 30节点系统为例,基于某风电场的年风速分布特性及典型日每时刻的风速分布特性,采用基于随机模拟的粒子群算法进行模型求解,分析计算弃风、时间尺度、上网电价及其他因素对风电场装机容量的影响。更多还原

【Abstract】 A novel optimization method about wind farm installed capacity considering wind power curtailment is proposed under the existing power environment. Under the conditions to meet the system static security constraints, the proposed optimization model aims at maximal net income of wind farm and takes the wind power curtailment into account. In addition, the impact of hourly peaking characteristics of wind power on the curtailment is introduced to the optimization model under different scenarios. Accordingly, the more reasonable installed capacity in statistical significance is obtained. Finally, the particle swarm optimization algorithm based on stochastic simulation is used to solve the model. The IEEE 30 bus system is tested to show the effects of curtailment, time scale, on-grid price and other factors on the installed capacity based on the annual and hourly wind speed distribution characteristics.更多还原