数据校核与校正算法实现电网线损监测研究

Data checking and correction algorithm for realize power line loss monitoring

针对目前配电网系统中出现的电网线损问题,提出了新型的线损监测方法,构建出具有底层设备层、数据传输层、数据计算层和数据应用层的监测系统。文中还提出了基于随机矩阵理论的数学模型,通过使用该算法能够反映影响电网正常运行数据之间的关系,对电网数据进行深入分析,及时、准确地从影响电网正常运行的数据中发现问题,进而实现电网线损监测。在该方案的基础上,又融入了蚁群算法,通过反复不断地迭代运算,使用户不断寻找影响电网运行数据输出的最优解,通过搜索最优解,有针对性地优化电网线路的损耗问题。试验表明,文中提出的方案误差率较低,具有较好的应用价值,为下一步电网线损的研究奠定理论基础。

Aiming at the problem of line loss in the current distribution network system,a new line loss monitoring method is proposed,and a monitoring system with a bottom equipment layer,a data transmission layer,a data calculation layer,and a data application layer is constructed.And a mathematical model is proposed based on the random matrix theory.By using this algorithm,it can reflect the relationship between the data affecting the normal operation of the power grid,conduct in-depth analysis of the power grid data,and timely and accurately find problems from the data affecting the normal power grid operation,then realize grid line loss monitoring.On the basis of this scheme,an ant colony algorithm is also integrated.Through repeated iterative calculations,users can continuously find the optimal solution that affects the output of the power grid operation data.By searching for the optimal solution,the grid line losses are targeted and optimized.The experiments show that the proposed scheme has a low error rate and good application value,and lays a theoretical foundation for the further study of grid line loss.