Electrical Energy Storage on the Hybrid Grid of Renewable Energy System Using Fuzzy Controller Optimization Algorithm

The main risks of arising from the using fossil fuels can be referred to environmental pollution, the effects of greenhouse gases, climate change and acid rain. For this reason, efficient use of energy in economic development has always been considered as an important goal of sustainable development. In this study, the effects of time-varying electricity prices in the energy storage components performance is examined for a HRES in network by settings FLC based on optimization. The modeling results indicate that the performance of energy storage devices on the network HRES strongly affected by the price of the electricity grid as well as applying the capacity of the FLC is essential for this kind of data. Optimized FLC results have shown better performance compared to non-optimized counterpart have with applied settings for both daily and weekly operating period. The findings of this study indicate that the FLC optimize is better when is used on the HRES network according to the forecast periods shorter, in other words, prediction short-term results will conducive to the best performance on more accurate prediction of the data and settings of FLC for more than one day.