气体绝缘组合电器(GIS)因其突出优势被广泛应用于电力系统中，但其绝缘的放电击穿问题一直是实际难题，特别是我国近年来出现了多起550kV和1100kV GIS重大事故。如何准确检测与诊断GIS的绝缘缺陷，是国内外关注的研究热点和难点。目前GIS状态评估技术主要针对单绝缘缺陷，而实际情况是GIS内部有时会存在多个绝缘缺陷，多个局部放电源信号之间互相耦合影响，这给状态检测与评估带来了难度。本项目针对这一问题，通过建立GIS中多局放源仿真与实验模型，探讨多局放源UHF信号传播与耦合特性，分析多局放源发展过程与UHF信号间的演化关系，优化提取基于UHF信号的GIS多局放源的分离表征参量，提出多种智能算法联合的聚类和模式识别方法，分离和识别GIS多局放源的类型和各自发展阶段，以期推进GIS多局放源的诊断分析研究与现场应用。

Gas insulated system (GIS) is widely used in power system since its unique advantages. However, the insulation breakdown in GIS is still the practical and difficult problem in power system，especially a few serious breakdown accidents of 550kV and 1100kV GIS happened in China in recent years. The detection and diagnosis of various insulation defects in GIS accurately are the hot issue and difficulty in the currently research field. The condition assessment technology of GIS is based on the precondition of single insulation defect. However, several insulation defects sometimes may exist in GIS actually. The coupling influences of signals excited by multiple partial discharge (PD) sources are formed in this condition, which brings the difficulty of detection and assessment of GIS condition. Focused on this problem, the simulation and experimental model of multiple PD sources is built in this research issue. The propagation and coupling characteristics of the UHF signals excited by multiple PD sources are discussed, and the evolution relationship between UHF signals and development of multiple PD is analyzed. The separation feature of multiple PD UHF signals is extracted optimization. By combined the multiple intelligent algorithms together, the cluster and pattern recognition methods are proposed to separate and indentify the types and each development stage of multiple PD sources. This research is hopeful to promote the multiple PD sources diagnosis and application in field.