Using the visual technology of GIS and combining the geographical information of power network, the system gives the real-time distributing information of power quality.
运用可视化GIS信息技术，结合电网或输电线路的地理分布信息实时反映电能质量情况。
A new approach combining S-transform and Extension Neural Network (ENN) to classify power quality disturbances is proposed in this paper.
提出了一种基于S变换和扩张神经网络的电能质量扰动分类方法。
Meanwhile, combining the actual running situation of the power network of Zhejiang province, the validity of various projects restricting the short-circuit current was analyzed by this system.
同时，结合浙江电网的实际运行情况，利用该系统分析各种限制短路电流方案的有效性。
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