This paper presents an approach that is useful for the identification of a fuzzy model in SISO system. The initial values of cluster centers are identified by the Hough transformation, which considers the linearity an...This paper presents an approach that is useful for the identification of a fuzzy model in SISO system. The initial values of cluster centers are identified by the Hough transformation, which considers the linearity and continuity of given input-output data, respectively. For the premise parts parameters identification, we use fuzzy-C-means clustering method. The consequent parameters are identified based on recursive least square. This method not only makes approximation more accurate, but also let computation be simpler and the procedure is realized more easily. Finally, it is shown that this method is useful for the identification of a fuzzy model by simulation.展开更多
分布式光伏、电动汽车的大规模接入加剧了低压配电网(low-voltage distribution network,LVDN)的三相不平衡,这种三相不平衡会产生中性线电流并导致电压波动等问题,造成三相线路的阻抗辨识问题无法简化至潮流统一的3个相同单相网络中进...分布式光伏、电动汽车的大规模接入加剧了低压配电网(low-voltage distribution network,LVDN)的三相不平衡,这种三相不平衡会产生中性线电流并导致电压波动等问题,造成三相线路的阻抗辨识问题无法简化至潮流统一的3个相同单相网络中进行独立求解。针对中性线不平衡电流的存在,根据子节点电压相关性原理,提出一套基于层级解构与分相递归策略的线路阻抗辨识方法。首先,通过层级解构划分配变层、分支层和用户层,建立层内节点关联子网络;其次,构建相线电压匹配模型,回溯分支层各相线阻抗,利用节点功率校验模型,实现配变层节点相位角估计;再次,根据电气矢量关系递推中性线参数,通过消除递推误差得到线路阻抗辨识结果;最后,通过实际系统与负荷数据验证该方法的有效性和准确性。展开更多
基金This project was supported by the Natural Science Foundation of Heilongjiang province and Doctor Foundation of Yanshan U-niversity.
文摘This paper presents an approach that is useful for the identification of a fuzzy model in SISO system. The initial values of cluster centers are identified by the Hough transformation, which considers the linearity and continuity of given input-output data, respectively. For the premise parts parameters identification, we use fuzzy-C-means clustering method. The consequent parameters are identified based on recursive least square. This method not only makes approximation more accurate, but also let computation be simpler and the procedure is realized more easily. Finally, it is shown that this method is useful for the identification of a fuzzy model by simulation.
文摘分布式光伏、电动汽车的大规模接入加剧了低压配电网(low-voltage distribution network,LVDN)的三相不平衡,这种三相不平衡会产生中性线电流并导致电压波动等问题,造成三相线路的阻抗辨识问题无法简化至潮流统一的3个相同单相网络中进行独立求解。针对中性线不平衡电流的存在,根据子节点电压相关性原理,提出一套基于层级解构与分相递归策略的线路阻抗辨识方法。首先,通过层级解构划分配变层、分支层和用户层,建立层内节点关联子网络;其次,构建相线电压匹配模型,回溯分支层各相线阻抗,利用节点功率校验模型,实现配变层节点相位角估计;再次,根据电气矢量关系递推中性线参数,通过消除递推误差得到线路阻抗辨识结果;最后,通过实际系统与负荷数据验证该方法的有效性和准确性。
