Hierarchical scheduling algorithm design of active distribution network based on multi-microgrid system.

In recent years, the high penetration of renewable energy into the power grid is facing an obvious phenomenon of abandoning wind and light. Microgrid provides a good platform for the full utilization of renewable energy. The coordinated scheduling among multiple microgrids under active distribution network will further improve the utilization rate of renewable energy. Aiming at the problems of reduced distribution reliability, long scheduling time, and poor load balance in the current multi-microgrid access distribution network scheduling methods, an active distribution network hierarchical scheduling algorithm based on multi-microgrid system is designed. Construct a multi-microgrid active distribution network two-level planning model, optimize the energy storage configuration of the microgrid system, and control the battery capacity, charge and discharge performance and the equivalent voltage state of the grid at the same time, to provide support for the distribution network load balancing dispatch. Cross-source scheduling method combined with big data technology is used to preprocess active distribution network load. The improved ant colony optimization algorithm is used to construct the analytical model of the corresponding user type of the hierarchical dispatching terminal of the active distribution network to complete the dispatching optimization. According to the expected adjusted hierarchical load proportion distribution, combined with the ant colony optimization results, the hierarchical scheduling of active distribution network is realized. The IEEE 14-bus distribution network system is taken as an example to verify the algorithm. The experimental results show that under the proposed algorithm, the daily average deviation between the pre-measurement and the actual quantity of distribution power transmission in multi-microgrid is less than 2%, the maximum load balancing degree after scheduling is 99.8%, and the scheduling overhead is less than 0.95 s. It can realize the accurate prediction of electric energy transmission in active distribution network, the effect of load hierarchical scheduling is good, the load balance is ideal, and the scheduling time overhead is small. [ABSTRACT FROM AUTHOR]