考虑风电机组旋转备用的风电场多目标优化

随着新型风电场的容量在并网系统中所占比例不断增加，对传统含风电场电力系统的经济调度问题提出了新的要求。传统的电力系统经济调度还应考虑到风电场功率波动对系统旋转备用和发电成本等方面的影响。因此，针对考虑风电机组旋转备用的风电场优化调度方法，并综合发电成本及购电费用目标，建立了含风电场的经济调度模型；釆用目标加权法和距离函数法相结合以将目标优化问题单一化以及利用实值编码遗传算法，来高效搜索优化方程最优解。仿真结果表明，所提出的方法是有效的。

Multi-objective optimization of wind power station on account of wind turbine spinning reserve

As the proportion of new-type wind power station in on-grid system increases continuously, it poses a new challenge to the economic dispatching of traditional power system. It is noted that the economic dispatching of traditional power system should take account of the influences of wind power fluctuation on the spinning reserve and the cost of power generation. To optimize the dispatching of wind power station on account of turbine spinning reserve, an economic dispatching model that takes account of the overall cost of power generation and power price is established. The objective weighted method and distance function approach are combined to individualize the optimization objectives, while a genetic algorithm with real-value coding is adopted to efficiently work out an optimal solution to the model. The simulation results show that the methods proposed are effective. 