含多个风电机组的配电网无功优化

Reactive Power Optimization in Distribution System with Multiple Wind Power Generators

风电机组出力的随机性使传统无功优化模型难以胜任。提出了含多个风电机组的配电网无功优化的模型和算法。基于场景分析法探讨了单台和多台不同参数风电机组的随机出力描述方法,并针对不同参数的风电机组同时接入系统时的情况,提出了系统场景的划分规则,继而建立了含多个风电机组的配电网无功优化的场景模型。针对多场景潮流计算的复杂性,提出一种高效算法,该算法先利用场景功率的相似性确定场景的分析次序,再将前一场景的潮流计算结果作为后一场景的初始条件,以加速潮流收敛。仿真结果验证了该模型和算法的有效性。

A new model and algorithm for reactive power optimization of distribution networks embedded with multiple wind power generators （WPGs） are presented to overcome the defects of conventional methods. The scenario analysis method is applied to describe the random outputs of single and multiple WPGs of different parameters. A scenario partition rule is established for the distribution networks embedded with multiple WPGs of different parameters, and a scenario model is built for reactive power optimization of these distribution networks. An efficient algorithm is presented to solve the newly built scenario model. In this algorithm, the order of disposal of system scenarios are determined by their similarity, and the load flow results of a former scenario are used as the initial iteration point of the next one. This greatly reduces the computation efforts in load flow solutions of the sequential scenarios. Simulation results show the effectiveness of the model and algorithm proposed.