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Machine Learning Based Dynamic Power Dispatching And Smoothing Using Hybrid Energy Storage System For Renewable Energy Systems, Bhuvaneshwarr Ramalingam
Machine Learning Based Dynamic Power Dispatching And Smoothing Using Hybrid Energy Storage System For Renewable Energy Systems, Bhuvaneshwarr Ramalingam
Electrical and Computer Engineering ETDs
The stochastic fluctuations from Renewable Energy Resources (RER) have a great influence on power quality and off-grid communities. A combination of the different storage systems is accessible for RER generation intermittency and to bring about finest smoothing operating cycle compared to sole Energy Storage System (ESS). Additionally, energy management in Hybrid Energy Storage System (HESS) creates an uncertainty during power smoothing operation. This research materializes, an intelligent mechanism for power smoothing and dispatch with the introduction of hybridized storage that can accommodate the unpredictable behavior of RER under dynamic load. A feed-forward neural network is proposed as a power smoothing …