Research on Source-Load Cooperative Scheduling Strategy Based on Probabilistic Distance Fast Reduction Method

With the increase of the proportion of renewable energy connected to the grid and the deepening of the coupling relationship of the energy system, the effect of the uncertainty of renewable energy and load prediction on the dispatching plan is becoming more and more prominent. To maximize the flexibility of renewable energy to the system, this article proposes a source-load-energy storage system cooperative scheduling strategy based on probabilistic distance rapid reduction method. First, the uncertain of photovoltaic power generation and wind power generation is processed by using scenario sampling generation and reduction technology, forming a classical scenario containing probabilistic information. Based on these scenarios, a joint scheduling model of power station with storing up energy and power system is established, and the nonlinear terms are processed equally by using big-M method. As can be obtained from the illustration that the subscriber daily operation prime cost will be greatly decreased after the participation of power station with storing up energy, and the accommodation rate of renewable energy will be significantly improved under a prerequisite to ensure the safe work of the electrified wire netting.