Abstract：Disturbance direction misjudgments happen due to the network structure, the Gauss noise and monitoring errors. However, the existing power quality disturbance source locating methods have low positioning accuracy. A power quality disturbance location algorithm of particle swarm optimization with monitoring reliability is presented. A new method of monitoring reliability function is also presented, to characterize the accuracy of disturbance direction judgment. Then the particle swarm optimization model is established, as well as the evaluation function is proposed, where the particle swarm iteration is used to search the global optimal solution. The simulations in Matlab show that, the new algorithm can locate the disturbance with parts of disturbance direction misjudgments, and has the advantages of accurate positioning, good convergence and good fault tolerance.
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2016, Vol. 31 
