Multi-Load Condition Grid Energy Storage Multi-Temporal and Spatial Scale Coordinated Optimization Control Method Based on GBO Algorithm

In response to the difficulty of effectively ensuring the operational stability of the power grid under different load conditions, this paper proposes a multi-load condition power grid energy storage multi-temporal and spatial scale coordinated optimization control method based on the Gradient-based Optimizer (GBO) algorithm. Firstly, a multi-temporal and spatial scale model of power grid load and energy storage system was constructed. Then, the objective function for coordinated optimization control of energy storage in multi-load power grids at multiple time and space scales was constructed, and the constraints were determined. Finally, the GBO algorithm was used to optimize the capacity configuration, charging and discharging strategies, and scheduling of the energy storage system at different time scales, in order to achieve coordinated control of the energy storage system at multiple time scales. Through simulation verification and case analysis, the effectiveness of the proposed method in improving the flexibility, reliability, and economy of power grid operation has been demonstrated. This method provides a new approach and solution for the coordinated optimization control of multi-temporal and spatial scales in power grid energy storage systems.