摘要
随着电网规模的不断扩大,电力调度业务规模也在不断增长,为电力调度带来了挑战。为保证电力系统的稳定运行,必须提高电力调度系统的自动化程度。为此,针对配电网故障识别难题,基于小波变换理论和人工神经网络提出了一套故障识别方法;针对传统电力调度系统技术灵活性和智能性不足的问题,设计了一套操作票智能生成系统,该系统在分析电力系统特点的基础上,对构成操作票专家系统的知识库和推理机进行了分析和设计。最后通过案例分析验证了所提出的故障识别方法和操作票生成系统。研究结果表明所提出的故障识别方法可有效识别故障的发生、故障类型以及故障位置,采用Rete算法设计的推理机能够有效针对故障自动生成操作票。
With the continuous expansion of power grid scale,the scale of power dispatching business is also growing,which brings challenges to power dispatching.In order to ensure the stable operation of power system,it is necessary to improve the degree of automation of power dispatching system.Aiming at the problem of fault identification of distribution network,a set of fault identification method based on wavelet transform theory and artificial neural network is proposed.Aiming at the problem of insufficient technical flexibility and intelligence of traditional power dispatching system,an intelligent generation system of operation order is designed.Based on the analysis of the characteristics of power system,the knowledge base and reasoning machine composing the operation order expert system are analyzed and designed.Finally,the fault identification method and operation order generation system proposed are verified by case analysis.The results show that the proposed fault identification method can effectively identify the fault occurrence,fault type and fault location,and the reasoning machine designed by Rete algorithm can effectively generate operation order for fault.
作者
朱炳铨
吴华华
童存智
谷炜
马翔
吕磊炎
ZHU Bingquan;WU Huahua;TONG Cunzhi;GU Wei;MA Xiang;Lü Leiyan(State Grid Zhejiang Electric Power Company Ltd.,Hangzhou Zhejiang 310007,China;State Grid Jinhua Power Supply Company,Jinhua Zhejiang,China,321000)
出处
《电子器件》
CAS
北大核心
2022年第4期925-930,共6页
Chinese Journal of Electron Devices
基金
国网浙江省电力有限公司科技项目(5211JH180081)。
关键词
人工智能
操作票
专家系统
神经网络
小波分析
artificial intelligence
operation ticket
expert system
neural network
wavelet analysis
