基于随机响应面法的主动配电网无功优化

发布时间：2018-12-19 12:49

【摘要】：考虑分布式电源(DG)的无功主动调控能力,计及状态变量的机会约束,建立主动配电网随机无功优化模型。通过非参数核密度估计对随机因素进行建模,进一步借助随机响应面法,研究适应于多种概率模型的概率潮流计算方法,用以判断状态变量是否满足机会约束,并利用Nataf变换处理随机变量的相关性。结合基于粒子群的无功优化方法,对所建立模型进行求解。最后,基于修改过的IEEE 33节点和美国PGE 69节点配电系统测试所提方法的正确性和有效性。算例表明所提概率潮流计算方法所得累积分布函数具有较高的精度,同时设计不同的场景,进一步表明所提模型和算法适应不同DG无功控制策略、可发现确定性优化方案的概率越界风险并调整解决。
[Abstract]:Considering the reactive power active control ability of (DG) and the chance constraint of state variables, the stochastic reactive power optimization model of active distribution network is established. The stochastic factors are modeled by nonparametric kernel density estimation, and the probabilistic power flow calculation method suitable for various probabilistic models is studied with the help of random response surface method, which is used to judge whether the state variables satisfy the chance constraint or not. Nataf transform is used to deal with the correlation of random variables. Based on the particle swarm optimization method, the model is solved. Finally, the correctness and validity of the proposed method based on the modified IEEE 33 bus and the United States PGE 69 bus distribution system test are presented. Numerical examples show that the cumulative distribution function obtained by the proposed probabilistic power flow calculation method has high accuracy, and different scenarios are designed. It is further shown that the proposed model and algorithm are suitable for different DG reactive power control strategies. The probabilistic overstepping risk of deterministic optimization scheme can be found and adjusted.
【作者单位】：河海大学能源与电气学院;国电南瑞科技股份有限公司;
【基金】：国家自然科学基金资助项目(61673161) 江苏省自然科学基金资助项目(BK20161510) 国家电网公司科技项目“分布式新能源规模接入下的配电网运检安全防护技术研究与关键设备研制”~~
【分类号】：TM714.3

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