大尺度风电消纳下电力系统发电机组两阶段鲁棒优化运行

Two stage robust optimal operation of power system generator units under large-scale wind power consumption

为了实现可再生能源应并尽并、能发多发目标要求,解决风电大尺度消纳时网侧火力机组存在的安全运行隐患和使用寿命损耗问题,提出一种发电机组总体运行经济、安全的三层两阶段鲁棒优化模型。外层模型解决了发电机组的安全启停问题,中间层解决风电发电预测不确定性影响,内层解决电力系统安全容量问题。利用嵌套列约束生成算法(nested column and constraint generation,NC&CG)以及KKT条件(Karush Kuhn Tucker Conditions)对所建非凸性模型进行寻优。在改进的IEEE6节点系统上进行仿真测试,结果验证了模型的有效性。

In order to achieve the integration of renewable energy,the goal of generating multiple generations,and solving the problems of safe operation and service life loss of grid-side thermal units when large-scale wind power is consumed.A three-layer and two-stage robust optimization model for the overall operation of the generator set is proposed,which is economical and safe.The outer layer model solves the problem of safe start and stop of the generator set,the middle layer solves the influence of the uncertainty of wind power generation forecasting,and the inner layer solves the problem of the safe capacity of the power system.Use NC&CG(Nested Column and Constraint Generation)algorithm and KKT conditions(Karush Kuhn Tucker Conditions)to optimize the built non-convexity model.The simulation test is carried out on the improved IEEE 6-node system,and the result verifies the validity of the model.