摘要
配电网重构的目标是在允许的操作条件和电气约束下,通过网络重构尽可能多地将停电区域的负荷转供到正常的馈线上。我国配电网结构普遍比较薄弱,不但备用切换能力差,达不到"N-1"的安全准则,供电可靠性差,而且网损率高。现状使得配电网的数学模型更加复杂,因此需寻求配电网络重构的优化算法。人工智能技术的发展为配电网络大量问题提供了新的有力工具。结合配电网结构特点,本文对BP神经网络进行改进,使之很好的适用于配电网重构问题。并用算例初步的对论文算法进行验证分析。
Under applicable condition of operation and electrical restriction, the purpose of reconfiguration of distribution network is from which more load is transferred from power supply interrupted area to the normal feeder line. Generally Structure of distribution network in our country is weak, not only for the poor capability of standby switching, unreachable safe standard of N -1, and poor reliability of power supply but also for the high rate of loss energy in network. We should use optimizing algorithm of switch network because the teaching model of switch network in present time is more complex. The development of artificial intelligence supply new method for plenty troubles caused by switch network. This article further describe the improvement of BP Neural Network, connecting with switch network, which can better solve problems caused by switch network , then through examples preliminarily analyze and check the paper algorithm.
出处
《微计算机信息》
2011年第4期154-155,184,共3页
Control & Automation
关键词
配电网重构
BP神经网络
图论
Reconfiguration of Distribution Network
BP Neural Network
Graph Theory
