Title :
Generation reliability evaluation of wind energy penetrated power system
Author :
Lalitha, M. Padma ; Reddy, P. Harshavardhan ; Naidu, P. Janardhana
Author_Institution :
A.I.T.S., Rajampeta, India
Abstract :
This paper presents the generation adequacy evaluation of a power system with high wind energy penetration. First, the wind turbine generator unit models are developed by considering the component failure rates and uncertain nature of wind energy. The Data Synthesizer Software is used to extract the hourly wind speed values from the average seasonal data. The Fuzzy C-means Clustering Method is used to obtain the required number of generation states from the hourly data. Then the Markov process is used to obtain the probability of each generation state. Then, these wind energy models are added to the Roy Billinton Test System (RBTS) by Recursive Algorithm approach and different reliability indices are calculated.
Keywords :
Markov processes; failure analysis; fuzzy set theory; power engineering computing; power generation reliability; recursive estimation; statistical analysis; turbogenerators; wind power plants; wind turbines; Markov process; RBTS; Roy Billinton test system; average seasonal data; component failure rates; data synthesizer software; fuzzy c-means clustering method; generation adequacy reliability evaluation; generation state probability; high wind energy penetration; hourly data; power system; recursive algorithm approach; uncertain nature; wind speed values; wind turbine generator unit models; Computational modeling; Generators; Markov processes; Power system reliability; Reliability; Synthesizers; Data Synthesizer Software; Fuzzy C-means Clustering; Generation Reliability Evaluation; Markov models; Recursive Algorithm; Wind farm;
Conference_Titel :
High Performance Computing and Applications (ICHPCA), 2014 International Conference on
Print_ISBN :
978-1-4799-5957-0
DOI :
10.1109/ICHPCA.2014.7045371
