摘要
对配电网状态估计的研究是建立起符合配电网特点的数学模型,本文尝试用神经网络方法对系统确定性部分进行状态估计,将网络不确定部分进行简化计算,从而得出全局的结果。通过并对量测数据进行检测,尽可能的提高数据精度。充分应用了配电网自身的特性生成行之有效的计算方法,从而为电力调度管理提供依据。
The aim of state estimation of distribution network is to make a normative mathematical model, to enhance the computation precision in limited steps, to find an effective computation method by making full use of the characteristic of distribution network and to provide foundation for the management of power system distribution. This article attempts to do state estimation of the deterministic part of power system based on neural network, to simplify the nondeterministic part computation, to get the result as a whole and also to examine the measured dates to enhance the computation precision as much as possible.
出处
《河北建筑科技学院学报》
2006年第3期83-86,共4页
Journal of Hebei Institute of Architectural Science & Technology
关键词
神经网络
配电网
状态估计
neural network
distribution network
state estimation
