Fast screening techniques and process for grid interconnection of wind-storage systems

This paper presents fast screening techniques and process for grid interconnection of wind-storage systems. In a smart grid, the wind turbines are likely installed accompanying with battery energy storage systems, called “wind-storage system”, to largely increase the penetration of renewable energy. A fast screening approach based on a genetic algorithm with self-adaptive evolution provided from a commercial software, OPTIMUS, is applied to predetermine the maximum power output of a wind farm. The total power generation of a wind farm can be greatly increased without violating these limitations through the assistant of a battery energy storage system. Time-varying distribution system operating status make the operation problem of a wind-energy system further complicated. The results show that the maximum power output of a wind farm and the required capacity of the battery energy storage systems in a wind-storage system mainly depend on the system short-circuit capacity at the interconnection point of the wind-storage system. This paper confirms the effectiveness of the proposed algorithm using actual wind farm data and a physical distribution system of Taiwan. The outcomes of this paper are of value to fast screening the grid-interconnection applications of wind-storage systems.