基于BP神经网络的电网调度系统安全评价

Safety Evaluation of the Dispatching System of Power Grid Based on the BP Neural Network

随着电网调度自动化程度的不断提高,我国电网已形成互联格局,这对电网调度系统的安全运行提出了更高的要求,对电网系统进行及时、准确的安全评价亦显得越来越重要。本文基于BP神经网络的非线性和自学习能力,利用Matlab建立了BP神经网络模型,通过对某电网调度系统以往数据的训练学习,总结出了一般规律,并通过网络再现,对新的数据作出了准确的评价,达到了预想的效果。这种基于BP神经网络对电网调度系统的安全评价,由于避免了人的主观因素的影响,因此节省了人力、财力和时间,比较适用于企业内部的自评价。

With the continuous improvement of the dispatching automation of power grid,the interconnection pattern is formed for the national power grid,so higher requirements are raised to the safety evaluation of the dispatching system of power grid,and a timely and accurate safety assessment is becoming more and more important.Based on the nonlinear and self-learning ability of the BP neural network,this paper uses Matlab to establish a BP network model and summarizes the general law by learning and training the previous evaluation data of a dispatching system.The paper also accurately evaluates the new data and obtains desired results.This method not only avoids the influence of human factors,but also saves the human and financial resources and time,so it is suitable to the interior self-evaluation of enterprises.