Load modelling of an interconnected power system for short term prediction
作者： A. K. MAHALANABIS , M. HANMANDLU , R. S. RANA
DOI: 10.1080/00207728008967029
关键词: Kalman filtering algorithm 、 Time series modelling 、 Term (time) 、 Control theory 、 Electricity grid 、 Control engineering 、 Electric power system 、 Dynamic models 、 Engineering
摘要: Abstract The paper presents some results of the application linear and non-linear vector time series modelling techniques Kalman filtering algorithm to problem fitting dynamic models observed load data an interconnected power system. It is found that identified model can then be usefully employed for on-line prediction future demand. A case study involving a part northern India regional electricity grid presented in order illustrate results.
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