International Journal of Engineering and Technology

As conventional energy sources are depleting, renewable energy sources play a vital role. The renewable energy sources such as solar and wind based power production is the appropriate solution due to its surplus availability. However, the uncertainty in the availability of these resources due to environmental factors results in uncertainty in power production which ought to be dealt seriously. The power produced from these resources is connected through grid to the loads. If the produced power exceeds the total demand by the loads, then excess power can be sold to utility. Hence, it is mandate to produce maximum possible power from these renewable resources irrespective of the environment influencing factors. To achieve this, a novel two level fuzzy based energy prediction system is proposed. The proposal considers the influencing parameters for both solar and wind energy based power production. Accordingly, the first level fuzzy based controller which is designed to produce maximum power is tuned to obtain maximum power from these resources. The total power generated from the integrated system is compared with that of the total demand. If the demand is lesser, then excess power is used to charge the battery and hence, the State of Charge of the battery can be increased up to 95%. Using second level fuzzy logic controller, the excess power will be predicted which will be sold to the utility. The algorithm is implemented in Matlab. The proposed methodology exhibit the efficacy of the proposal.