人工神经元网络在电力系统中应用的新进展(一)

THE NEW DEVELOPMENT OF ARTIFICIAL NEURAL NETWORKS APPLICATION TO POWER SYSTEMS

1 人工神经元网络概论 人工神经元网络(Artificial Ncural Nctwork—ANN),又称连接机制模型(Conncctionism Model)或并行分布处理模型(Parallcl Distributcd Proccssing Modcl),是由大量简单元件广泛连接而成的、用以模拟人脑行为的复杂网络系统。研究这一系统的根本目的是探索人脑信息处理、储存和搜索的机制,从而为解决客观世界中所存在的一些极其复杂的问题开辟一条新路。

This paper presents survey of the new development of artificial neural networks (ANN) application to power systems. The following nine application fields are included.1. Steady and Dynamic Security Assessment;2.Alarm Processing and Fault Diagnosis;3.Short-term Load Forecasting;4.The Calculation of Energy Losses in Distribution Systems;5.Unit Commitment, Generation Planning and Topological Observability Analysis;6.Economic Operation;7.The Electronic Circuit Implementation of ANN;8.Power System Control;9.The Other Fields of Power Systems.