多随机参数下的配电网多目标无功优化

Multi-Objective Reactive Power Optimization with Multiple-Random Parameters for Distribution Network

针对实际中时序性负荷模型难以直接运用于无功优化的问题,提出基于枢轴量法的负荷建模新方法。由于配电网中多随机参数是并行的,提出基于贝叶斯公式时空解耦的配电网系统场景划分策略,建立多随机参数下的配电网多目标无功优化场景概率模型。最后运用改进的IEEE33标准节点测试系统验证上述模型的有效性,结果证明了此文方法是高效和灵活的。

In the light of the problem that chronological load model could not be directly used in reactive power optimization, a new load modeling method was proposed based on the pivotal quantity. Because the multiple random parameters in distribution network were in parallel, a temporal and spatial decoupling scenario partition strategy was proposed based on the Bayes formula, and then the multi-objective reactive power optimization model was established with multiple random parameters for distribution network. At last, the improved IEEE33 standard node test system was used to verify the effectiveness of the proposed model, and the results proved that this method was efficient and flexible.