Research on energy storage allocation strategy considering smoothing the fluctuation of renewable energy

Energy storage technology can effectively solve the problems caused by large-scale grid connection of renewable energy with volatility and uncertainty. Due to high cost system, research on capacity allocation system has important theoretical application value. In this paper, an optimization method for determining smoothing power output is proposed. First, based actual data Ulanqab, characteristics wind photovoltaic generation are studied, K-means algorithm used select typical days. Then, configuration model built according objective function constraints. Finally, genetic model, obtain corresponding parameters, complete capacity. Based results spectrum analysis, minimum that meets constraint target after compensation be optimized. The simulation show at 1 10 min, flattened about 2% 5%, while penetration 20% 30%. optimized greatly reduced, which proves effectiveness proposed strategy.