Cognitive fuzzy logic-integrated energy management for self-sustaining hybrid renewable microgrids

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To initiate the study, the research area was selected on the geographical location of Sanasi Hostel Block in SRM Institute of Science and Technology Subsequently, data about wind velocity and solar radiation was obtained. Upon completion, a load profile was developed. The variability and intermittency of green energy sources, such as solar and wind, pose significant difficulties in forecasting and balancing energy generation with consumption. Subsequently, the optimal result was determined by conducting a simulation of the input data utilizing HOMER before further action. Solar and wind profile of the site is depicted in Fig. 5.

Fig. 5

Solar and wind profile for one year.

Finally, FLC was utilized as the fundamental basis for the creation of an Energy Management Strategy. In Fig. 6 shown result of convergence curve of Firefly, PSO, GA Algorithm.

Fig. 6
figure 6

Convergence curve of firefly, PSO, GA algorithm.

A comprehensive economic analysis is…

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