配电系统模糊故障判别理论研究

Study on the theory of fuzzy fault diagnosis for power distribution system

在分析含分布式电源配电系统故障信息来源及特点的基础上,针对不确定信息下的故障识别问题,利用模糊集合理论适用于求解具有不确定信息或具有不确定关系问题的优势,提出了基于模糊逻辑的故障诊断方法。实例分析结果表明,所构建的利用RBF神经网络优化的模糊隶属度函数方法不仅能正确识别系统的故障类型,而且还不受系统模型结构的限制,具有较强的通用性和实用性,为今后配电系统故障诊断提供有力的参考价值。

On the basis of analyzing the distribution system with distributed generation fault information sources and characteristics,for the uncertain information of fault identification problem,this paper has taken the advantage of the superiority that fuzzy set theory is suitable for solving the problem with uncertainty information or uncertainty relationship,presents a fault diagnosis method based on fuzzy logic. The example analysis results have shown that the proposed method,constructing fuzzy membership function method based on RBF neural network optimization,can not only recognize fault types correctly,but also is not limited by the structure of the system model. Therefore,it has the generality and practicability providing a useful reference value for the fault diagnosis of power distribution system in the future.