Energy storage based optimal dispatch scheme for financial improvement and fluctuation mitigation on wind power generation

Wind as the one of typical renewable energy are widely used in the world. Traditional energy storage system (ESS) involved wind power dispatch plan is merely focus on the wind power fluctuation suppression. However, with wind generation participate in the deregulated electricity power market, the way to improve the wind farm financial income is became another major task, which is as crucial as the fluctuation mitigation. To find the equilibrium of financial improvement and fluctuation mitigation, this paper proposed a two-stages of ESS based optimal wind power dispatch scheme. The primary stage ESS is implemented to improve the financial benefits on wind farm through day-ahead operation; the second stage ESS operates in real-time market to balances the forecast errors and smooth the wind power output. Additionally, the risk analysis, “Value at Risk”, is introduced in wind power forecasting process to determine the reliable wind capacity. A case study has been provided in the end of the paper. With the simulation results, the proposed dispatch scheme is not only effective to improve the financial benefits of the wind farm, but also with the strong ability to eliminate the wind power fluctuations.