基于机会约束目标规划的风火储系统滚动调度

发布时间：2018-05-10 22:38

本文选题：误差分布 + 多时间尺度　；参考：《电网技术》2017年01期

【摘要】：为有效降低风电预测误差随机性对电力系统调度的影响,优化含风电电力系统运行的安全性与经济性,提出了基于机会约束目标规划的滚动调度模型。首先,研究了误差分布与预测超前时间的关系,并指出预测远端可信度下降对电力系统调度的影响。然后,基于机会约束目标规划建立了可直接利用多时间尺度预测信息的滚动调度模型。其中,调度计划的制定能够有效利用全局预测信息,有侧重地兼顾运行安全性与经济性;调度计划的更新能够通过分时逐次调节降低系统调节难度,同时调整计划更具预见性。最后,利用算例对所提滚动调度模型的有效性进行验证分析。结果表明:模型能够结合误差分布变化,利用多时间尺度风电预测信息优化含大规模风电系统运行。
[Abstract]:In order to effectively reduce the impact of wind power prediction error randomness on power system scheduling and optimize the safety and economy of wind power system operation, a rolling scheduling model based on opportunistic constrained objective programming is proposed. Firstly, the relationship between the error distribution and the prediction lead time is studied, and the influence of the decline of the prediction distance credibility on the power system dispatching is pointed out. Then, a rolling scheduling model based on opportunistic constrained objective programming is established, which can directly utilize the prediction information of multiple time scales. The scheduling plan can make use of the global prediction information effectively, and pay attention to the operation security and economy. The update of the scheduling plan can reduce the difficulty of system regulation by time-sharing and successive adjustment, and the adjustment plan is more predictable at the same time. Finally, an example is used to verify the effectiveness of the proposed rolling scheduling model. The results show that the model can optimize the operation of large-scale wind power system with multi-time scale wind power prediction information combined with the variation of error distribution.
【作者单位】：新能源电力系统国家重点实验室(华北电力大学);
【分类号】：TM73

【相似文献】