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应用模糊集理论识别电力系统振荡中不对称故障的新方法 被引量:13

A NEW APPROACH TO IDENTIFY UNSYMMETRICAL FAULT OCCURRED DURING POWER SYSTEM OSCILLATION BY USE OF FUZZY SET THEORY
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摘要 根据电力系统振荡和短路所呈现出的不同特征,以模分量、三相及零序电流大小为依据,提出了一种基于模糊集理论的识别振荡中发生不对称故障的新方法,并给出了相应的模糊数学模型。动模实验和Matlab仿真计算结果验证了该方法的有效性和可靠性。 In the light of the features revealed themselves during the oscillation and short circuit faults within power system and according to the modulus components, three phase currents and zero sequence current, a new fuzzy set theory based method to identify the unsymmetrical fault which occurs during the power system oscillation is put forward and corresponding fuzzy mathematical model is given. The effectiveness and reliability of the presented method are verified by the results of dynamic simulation and calculation with Matlab for a practical regional power network.
作者 鲍小鹏 张举
出处 《电网技术》 EI CSCD 北大核心 2004年第12期25-29,共5页 Power System Technology
关键词 电力系统 振荡 故障 模糊集理论 数学模型 继电保护装置 Computer simulation Electric fault currents Electric power systems Fuzzy sets Mathematical models Networks (circuits) Reliability
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