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Strategic Energy Management Of A Hybridized Wind-Solar Smart Grid

Conventional power systems are transitioning to smart grids for remote control, reduced losses and auto correction of system faults. An energy management system for smart grids based on renewable sources is critical due to the intermittent nature of output power from these sources and variability of the load demands, which yield voltage and frequency fluctuations. This study analyses the superiority of smart grids based on power electronic transformers. P-F droop control method and Q-V droop method have been used for frequency and voltage rectification respectively. MATLAB simulations were run and the results show the hybridized smart grid has better stability as compared to stand-alone systems. The optimization method used is hybrid particle swarm and grey wolf due to its faster convergence performance and fast implementation process. The study finds that implementation of the management strategy modeled would result in 100% load supply and hence stability of the power system.