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将风电出力概率分布离散化为多个场景,选取其最具有代表性的期望场景,在基于无功源控制空间的基本思想的基础上,求得该场景对应的全维电压/无功灵敏度矩阵,采用基于传递闭包的模糊聚类方法,得到一种含风电场的电网电压控制分区方法。该方法采用概率的方法将风电场出力变化纳入分区算法中,合理地解决风机出力的随机性与系统运行要求尽量稳定的矛盾;并考虑了风电场电源与系统各节点之间的相互影响,能够一次性对整个系统各节点分区,优于以往算法或多或少需要人工介入部分节点归类的弊端,为实现在线实时分区提供了条件。
The probability distribution of wind power output is discretized into multiple scenarios, and the most representative expected scenario is selected. Based on the basic idea of reactive power source control space, the full-scale voltage / reactive sensitivity matrix , A fuzzy clustering method based on transitive closure was used to obtain a method of grid voltage control division with wind farms. This method uses the probability method to integrate the output change of the wind farm into the partitioning algorithm, reasonably resolves the conflict between the randomness of the wind turbine output and the system operation requirement as much as possible, and considers the mutual influence between the wind farm power supply and each node of the system, One-time partition of the entire system nodes, better than the previous algorithm more or less need to manually intervene part of the disadvantages of node classification, in order to achieve real-time online partition provided the conditions.