Weather Adaptive Renewable Energy Based Self Correctional Dynamic Power System for 2020 and Beyond

This paper presents a modified model of a power grid which consists of renewable power systems and other types of traditional power systems. The rising demand of the electricity makes the ordinary fossil sources may not be adequate to accommodate this growth and the expansion of the power grid. On the other hand, these types of sources may not be interested due to their environmental impacts and economical issues. Instead, renewable sources are dramatically gained more focus due to their characteristics for providing clean and economic power. Regardless to these characteristics, since the renewable power systems depend on the weather, they suffer from irregular, intermittence, and unpredictable power that they produce. However, with adapting accurate weather forecast data to the control system, the performance, efficiency and reliability of the renewable power system are potentially improved. The implementation of the advanced forecast technology in the power systems makes the ability to predict the amount of the available power on the grid both instantaneously and for the future real. This reality can be taken as a basis for designing and developing a comprehensive future power smart grid.