Power systems adaptability evaluation using neural network

W.H. Chen

COMPUTER MODELLING & NEW TECHNOLOGIES 2013 17(5C) 167-172

Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China

This paper proposes a new strategy at the system level to evaluate and mitigate power system cascading outages adaptability considering protection system hidden failure. An explicit probability model of protection system hidden failures is established to demonstrate its effects on power system adaptability. The event tree is used to analyse the cascading outages sequences. Some adaptability indices are used to evaluate cascading outages adaptability. The neural network is used to obtain the adaptability indices and to propose a solution that can decrease the system cascading outage adaptability under limited budget. The IEEE system is used to illustrate the methodology and present the results.