中文摘要：

以经济性为评价指标,综合考虑系统有功平衡、机组爬坡和有功约束、节点电压约束、线路热稳极限和旋转备用总量需求等条件,建立了含风电的随机最优模型。通过场景生成和消减,建立了风功率的随机模型,并最终得到了在预测误差范围之内的10种风功率出力场景。在求解算法方面,引入了基于模糊聚类的改进小生境遗传算法,并在IEEE10机39节点系统进行了仿真验算,得到系统在多个场景下的出力曲线和旋转备用容量要求。结果表明,改进小生境遗传算法与其它算法相比,在保证系统安全运行的前提下,可以有效降低系统的运行费用。

英文摘要：

Taking the economy as evaluation index,considering the condition of comprehensive power balancing system considering unit ramp,active constraints,bus voltage constraints,line thermal stability limit of total demand and spinning reserve,a stochastic optimal model with wind power is set up.Through the scene generation and reduction,the random model of wind power is set up,and 10 kinds of wind power output range are eventually got within the prediction error.In the algorithm,the improved niche genetic algorithm is introduced based on fuzzy clustering,and the simulation calculation is carried out in IEEE10 machine 39 node system,the output curves of the system is got in a number of scenarios and the spinning reserve capacity requirements.The results show that the improved niche genetic algorithm can effectively reduce the operation cost of the system in the premise of ensuring the safe operation of the system.