基于SFLA-BPSO算法的含DG配网故障定位方法

FAULT LOCATION OF DISTRIBUTION NETWORK WITH DG BASED ON SFLA-BPSO

对于在含DG的配网故障定位中,标准BPSO易陷入局部最优,以致寻优性能下降,影响算法故障定位性能的问题。通过引入SFLA中的分组算子和模因组得到SFLA-BPSO,并建立含DG的9节点故障定位模型和IEEE33节点模型,将其与标准BPSO进行了数据对比分析。结果表明,在9节点配网故障定位中,SFLA-BPSO较之于标准BPSO准确度平均提高22.7%,寻优快速性平均提高62.1%;在IEEE33节点配网故障定位中,SFLA-BPSO较之于标准BPSO准确度平均提高393.1%,寻优快速性平均提高60.3%。使用MATLAB及其App Designer搭建软件平台对含DG的IEEE33节点配网进行测试。测试结果表明,SFLA-BPSO能够在该软件平台准确定位。

Aiming at the problem that standard BPSO is easy to fall into local optimum in the fault location of distribution network with DG, so that the performance of optimization performance will be reduced and the performance of fault location of algorithm will be affected. SFLA-BPSO was obtained by introducing the grouping operator and the meme group in SFLA, and 9-node fault location model and IEEE33 node model with DG were established. The results show that in fault location of 9-node distribution network, the accuracy of SFLA-BPSO is 22.7% higher than that of the standard BPSO, and the speed of optimization is 62.1% higher than that of the standard BPSO;the accuracy of SFLA-BPSO is 393.1% higher than that of the standard BPSO, and the speed of optimization is 60.3% higher than that of the standard BPSO. MATLAB and App designer were used to build a software platform to test IEEE33 node distribution network with DG, the test results show that SFLA-BPSO can accurately locate in the software platform.