【摘要】 分析了当前智能电网平台下的电网故障诊断发展趋势,拓展了对不同系统故障相关数据的使用方法,通过小波分析、模式匹配和Petri网方法分别对故障后的电流波形、节点电压相角和保护开关数据进行处理,得到不同信任度的初步故障决策。引入针对故障诊断的D-S证据理论融合来自不同信息源的初步决策,得到一个辅助决策结果,为最终的故障诊断提供决策支持。最后,通过两个实例验证了上述过程的有效性,为未来智能电网下的高级决策应用提供一种思路。更多还原

【Abstract】 This paper analyzes the development trend of smart grid fault diagnosis and expands the use of fault data from the different systems. The current waveforms,node voltage phase angles and protection switch data are processed by means of wavelet analysis,pattern matching and Petri nets,obtaining the primitive fault decision with different trust degree. The D-S evidence theory is applied to infuse the primitive decision from different systems,obtaining an assistant decision result to support the final fault diagnosis. The validity of the proposed method is illustrated with two cases,providing a train of thought for the future senior decision-making in smart grid.更多还原