关于供电系统配电管理效率优化仿真

Simulation on the Optimization of Power Distribution Management Efficiency in Power Supply System

对供电系统配电管理效率进行优化,能够有效提高供电系统配电终端的应用效率。在优化供电系统配电管理效率的过程中,配电终端的营配数据量大、冗余度高,需要对营配数据进行同步整合。传统方法在数据平台、异构系统环境下对营配数据整合交换,完成供电系统配电管理效率的优化,但忽略了产生大量冗余营配数据的因素,导致效率优化效果差。提出基于支持向量机(SVM)和分簇理论相结合的供电系统配电管理效率优化方法,首先获取数据的最小球形边界,通过该边界对待转换的串口数据和IP数据进行分类处理,降低配点终端营配数据的冗余度;构建节点分簇模型,利用关系矩阵对簇内营配数据进行多次整合和去误差处理,实现供电系统配电终端营配数据的高效整合和转换,完成供电系统配电管理效率的优化。实验证明提出的方法具有良好的扩展性、能够节省网络内存,大幅度提高了供电系统配电管理的效率。

At present, optimization method of efficiency of power distribution management of power supply system ignores factors generating many redundant camping data, leading to poor effect of efficiency optimization. Therefore, this article proposes an optimization method based on support vector machine （SVM） and clustering theory. Our research acquired the minimum spherical boundary of the data and carried out classification process for transforming serial data and IP data of the boundary to reduce redundancy of the camping data of distribution point terminal. Then, the research built clustering model of node and used matrix of relation to carry out many integrations and remove error. Thus, out research achieved efficient integration and transformation of the camping data of power distribution terminal and completed the optimization. Simulation proves that the method has better expansibility. It can save internal storage of network and improves efficiency of the power distribution management.