Research on Collaborative Planning of Source-Grid-Load-Storage Systems in an Industrial Park Considering Source-Load Uncertainties

In order to improve the economy and security of power system planning, an optimal allocation method for integrated source-grid-load-storage systems considering the joint sequential characteristic of source-load output is proposed. First, based on historical data, similar daily source-load output data are screened and similar daily output scenarios are optimally clustered; Second, a data-driven bilayer stochastic-robust hybrid optimization model is built to reduce the influence of renewable energy and load uncertainties on power system operation; Then, an iterative model solving algorithm is designed to reduce the complexity of model solving and improve the efficiency of model solving. Finally, the effectiveness of the method in this paper is verified by taking the actual industrial park as an example.