Coordinated peak-regulating optimization of source-load-storage system considering the uncertainty, pricing and compensation

In order to solve the problems of system peaking and consumption caused by the integration of large-scale new energy sources into the grid, this paper analyzes the source-load-storage peaking capacity and its complementarities, so as to tap the system's peaking capacity and promote new energy consumption. Firstly, taking into account the peaking pricing and compensation for ancillary services for thermal power, energy storage and electric vehicles, the peaking cost sharing and compensation mechanism is analyzed and a deep peaking model is established. Secondly, considering the uncertainty and correlation of wind power, a typical wind power sequence based on kernel density estimation and Frank Copula function is generated and a step-type demand response model is established to realize the graded compensation of the response amount. Then, it is possible to improve the response enthusiasm of demand-side users. Finally, with the objective of minimizing the total operating cost, a joint source-load-storage peak-peaking optimization model considering uncertainty and pricing compensation is constructed, and the improved IEEE 30-node system is used as an example for analysis. The results show that the proposed model can increase the system's peak-shaving capability and renewable energy consumption level by utilizing the flexible peak-shaving potential of resources on the three sides of source, load, and storage.