Optimization method for microgrid operation control and relay settings considering harsh environmental conditions

By establishing a disturbance model that correlates typical harsh environmental factors with key electrical parameters of the microgrid, the underlying mechanisms driving deviations in microgrid fault characteristics and protection response mismatches are elucidated. A robust optimization model based on a bounded uncertainty set is developed, and the column-and-constraint generation algorithm is employed to determine protection settings under the most adverse environmental conditions. Building on this, an adaptive setting strategy incorporating environmental awareness and online assessment is proposed, enabling dynamic tracking and real-time adjustment of protection settings. Simulation results demonstrate that this method effectively enhances the sensitivity and responsiveness of the protection system in typical "high/low temperature, windy, sandy" scenarios, significantly reducing the risk of failure and refusal to operate, thereby improving the operational reliability of microgrids in harsh environments.