摘要
随着电力系统的发展和对安全运行要求的提高,常规的继电保护和故障诊断技术已经不能适应不断发展的系统要求,因此自适应继电保护越来越受到重视,并已有广泛研究.运用人工神经网络所具有的自适应能力,提出了一种自适应距离保护的神经网络模型.该模型不仅能够随着系统运行和故障类型的变化自动改变故障判别的最佳条件,还能在发生任何故障时准确判别故障相和故障方向,测定故障距离和过渡电阻.对模型进行仿真,验证了所提出模型的可行性和优越性.
Conventional relay protection and fault diagnosis technology cannot satisfy the development of power system and the demand of operation safety. In this ease, adaptive relay protection is drawing growing attention and has been extensively studied. This paper proposes a neural network model of adaptive distance protection by making use of the adaptability of artificial neural network. The model is able to modify the optimum conditions of fault diagnosis according to the change of system operation and fault type, and detect fault phase, fault direction, fault distance and transient resistance when any fault occurs. The model is then simulated, the result of which proves its feasibility and superiority.
出处
《南京工程学院学报（自然科学版）》
2013年第2期37-42,共6页
Journal of Nanjing Institute of Technology(Natural Science Edition)
关键词
继电保护
自适应性
人工神经网络
relay protection
adaptability
artificial neural network
