Wind Farm Energy Storage Configuration Methods For Day-Ahead And Intra-Day Markets

Wind resources have the characteristics of large storage capacity and non-pollution,but they also have the problems of instability and inability to store.Energy storage,as a common renewable energy side aid.can effectively solve the above problems.Therefore.more and more research on wind farm-side energy storage capacity allocation methods are starting to appear.On the other hand,the spot market of electricity market will gradually be fully rolled out.and renewable energy.mainly scenery,occupies an increasingly high proportion of total power generation.In this context,there are problems such as rough calculation of energy storage cost and single research scenario in the current related research.In response to the above problems,a storage allocation method is proposed for wind farms to participate in the day-ahead market and intraday market considering energy storage costs and multiple scenarios.A storage capacity allocation model for wind farms in the day-ahead and intra-day markets is established,and the calculation results verify that the method can improve wind farm returns.The main research elements include:(1)A method for dividing daily trading scenarios in the electricity market based on silhouette density distance clustering verification is constructed.Firstly,the correlation between intraday electricity prices in the power market and historical data of multiple power markets is determined based on Pearson correlation coefficients.and the rationality of electricity prices as the basis for scenario classification is determined;secondly.multiple clustering algorithms are used to cluster intraday electricity price scenarios separately,and the evaluation index of clustering results based on silhouette density distance clustering verification is used as the evaluation index of clustering results with high separation and low overlap.(2)The wind farm participation in day-ahead market and intraday market trading strategies and energy storage charging and discharging optimization methods are proposed.The proposed method converts the initial cost and maintenance cost of energy storage into the single charge/discharge action of energy storage,which can calculate the cost of energy storage more accurately.The results show that the proposed optimization method can improve the wind farm revenue,and it is found that the energy storage allocation and revenue do not show the same increasing effect,reflecting the necessity of subsequent research on the energy storage capacity allocation method.(3)Based on the above research,an optimization model of energy storage capacity allocation for wind farms participating in the day-ahead market and intraday market was established.The optimization results show that the energy storage capacity is negatively correlated with the rated power and wind farm revenue,and the reduction of energy storage cost and the improvement of energy storage charging and discharging efficiency can increase the wind farm revenue,but with the increase of energy storage capacity and maximum charging and discharging power,the increase of wind farm revenue decreases.