量子计算与蚁群算法相结合的配电网故障定位

Fault Location of Distribution Networks Based on Combination of Quantum Computing and Ant Colony Algorithm

针对智能优化算法在处理配电网故障定位问题时存在后期收敛速度慢、成功率低的缺点,提出基于量子计算与蚁群算法相结合的量子蚁群算法进行配电网故障定位。首先,鉴于馈线终端单元(feeder terminal unit,FTU)上传信息会发生畸变与缺失的情况,提出计及FTU漏报误报信息的分级定位数学模型;其次,介绍量子蚁群算法的基本原理及应用方案;最后,在MATLAB上进行仿真,验证量子蚁群算法及计及FTU漏报误报信息的分级定位数学模型的有效性。

Aiming at the drawbacks of slow convergence speed and low success rate of intelligent optimization algorithms in dealing with fault location problems in distribution networks,a quantum ant colony algorithm based on the combination of quantum computing and ant colony algorithm is proposed for fault location in distribution networks.Firstly,considering the distortion and loss of information uploaded by the feeder terminal unit(FTU),a hierarchical positioning mathematical model is proposed that takes into account the false alarm information of FTU.Secondly,the basic principles and application schemes of quantum ant colony algorithm are introduced.Finally,simulation is conducted on MATLAB to verify the effectiveness of the quantum ant colony algorithm and the hierarchical localization mathematical model that takes into account FTU false alarm information.