摘要
针对传统电网中,如果电网的区域过大,会造成用电负荷异常不够明显,漏电检测定位的准确性不高等问题,提出了一种基于改进贝叶斯分类器的电网中漏电区域定位方法。通过优化聚类漏电区域的数据集合,进一步迭代计算优化,使得结果结合中的数据达到最优,快速准确的计算出漏电位置。实验结果表明,改进后的方法定位提高了漏电区域定位的准确性。
In traditional power grid,if the grid area is too big,can cause abnormal electrical load not obvious,leakage detection positioning accuracy of the problem,this paper proposes an improved genetic algorithm based on the power of the electromagnetic compatibility equipment leakage regional orientation method.Through the optimization of clustering leakage area collection of data,further iterative calculation optimization and the result of the combined with data to achieve optimal,quickly and accurately calculated leakage location,the experimental results show that the improved method positioning improve the accuracy of the leakage regional orientation
出处
《科技通报》
北大核心
2012年第10期113-115,共3页
Bulletin of Science and Technology
关键词
贝叶斯算法
漏电定
优化聚类
bayesian algorithm
Leakage set
optimization clustering
