Title :
Power distribution system reliability evaluation by D-S evidence inference and Bayesian network method
Author :
Zhao, Shuqiang ; Wang, Haiwei ; Cheng, Decai
Author_Institution :
Dept. of Electr. Eng., North China Electr. Power Univ., Baoding, China
Abstract :
The uncertain inference of D-S evidence theory can deal with the ambiguity and uncertainty of information issues. This paper aims for the effect of incomplete of the original parameters or the effect of subjective parameters in the reliability evaluation of distribution system. A D-S evidence inference method contacted with Bayesian network for Reliability Evaluation of Distribution System is presented. It constructs improved Bayesian network model by means of belief functions? plausibility functions and multimode node models. This method satisfactorily resolves the influence of informative inadequacy and uncertainty, and makes a more rational evaluation result. It is proved to be applicability and validity through an example.
Keywords :
belief networks; power distribution reliability; power system analysis computing; Bayesian network method; D-S evidence inference method; belief functions; power distribution system reliability evaluation; Algorithm design and analysis; Bayesian methods; Failure analysis; Frequency conversion; Inference algorithms; Power distribution; Power system modeling; Power system reliability; Probability distribution; Uncertainty; Bayesian network; D-S evidence inference; distribution system; reliability;
Conference_Titel :
Probabilistic Methods Applied to Power Systems (PMAPS), 2010 IEEE 11th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5720-5
DOI :
10.1109/PMAPS.2010.5528319