Multi-time scale coordinated optimal control method for ADN considering source load prediction error

With the transition from traditional distribution networks to active distribution networks, renewable energy sources represented by wind and photovoltaics are connected to the system on a large scale. However, due to the randomness and intermittentness of their output, the peak shaving of the distribution network Competence presents a huge challenge. In this paper, considering the forecast errors on both sides of the source and load and the limited power purchase of the grid and the output of distributed power sources, through flexible scheduling of interruptible loads on the demand side and distributed power sources, an optimization scenario suitable for each typical operation is proposed. The multi-time scale coordinated optimization strategy with multiple time scales and multiple optimization objectives is used to coordinate and optimize the dispatch of distributed power sources and interruptible loads in the distribution network from three time scales: day-ahead, intra-day rolling, and real-time. After simulation verification, the multi-time scale coordinated and optimized dispatching method of active distribution network proposed in this paper can effectively suppress the impact of the uncertainty of renewable energy output on the distribution network, and alleviate the voltage over-limit, Problems such as line overload.