A multi-scenario smart planning approach for distribution grids considering alternative energy storage

Conventional intelligent planning methods for distribution networks focus on the optimization of distribution network structure without considering load demand, which increases the cost of distribution network planning. Therefore, a multi-scenario distribution network intelligent planning method considering alternative energy storage is designed. The power characteristics of alternative energy storage are extracted to accurately describe the behavior of alternative energy storage system under multi-scenario distribution network operating conditions. A multi-scenario distribution network intelligent planning model is constructed based on alternative energy storage. The model coordinates and optimizes the charging and discharging power of the energy storage system, selects the charging and discharging time of the energy storage system, and allocates the charging and discharging power. Simulation experiments are used to verify that the method has better planning performance and can be applied in real life.