混合不同数据采样密度的配电网线损连续算法研究

Research on Continuous Method of Distribution Line Loss with Mixed Different Data Sampling Density

文章针对分布式电源接入配电网的理论线损计算问题,提出了一种结合不同数据采样密度的混合计算方法。该方法通过利用分布式电源的高密度实时数据采集,计算配电网各节点负荷的实时输出功率,有效弥补了传统线损算法只依赖负荷电量信息的不足,提高了线损计算的精度。在IEEE 17节点配电网系统中的算例分析结果表明,该算法具有较高的准确性。仿真结果显示,该方法在多种场景下都能有效减小误差,充分利用了配电网中的高密度采集数据,具备较强的实用性。通过该方法,电网公司可以更精确地进行线损管理,提高电网运行的经济效益,并为电网的精益化管理提供了可靠的技术支持。

A hybrid calculation method combining different data sampling densities is proposed for the theoretical line loss calculation problem of distributed power sources connected to distribution networks.This method utilizes high-density real-time data collection from distributed power sources to calculate the real-time output power of each node load in the distribution network,effectively compensating for the shortcomings of traditional line loss algorithms that only rely on load electricity information and improving the accuracy of line loss calculation.The numerical analysis results in the IEEE 17 node distribution network system show that the algorithm has high accuracy.The simulation results show that this method can effectively reduce errors in various scenarios,fully utilizing the high-density data collection in the distribution network,and has strong practicality.Through this method,power grid companies can more accurately manage line losses,improve the economic efficiency of power grid operation,and provide reliable technical support for lean management of the power grid.