Abstract: Disclosed in the present application are a power grid real-time scheduling optimization method and system, a computer device and a storage medium. The method comprises: acquiring power grid model parameters and power grid operation data; and according to the power grid model parameters and the power grid operation data, obtaining a power grid real-time scheduling adjustment strategy by means of a preset power grid real-time scheduling reinforcement learning training model. Massive operation data of a power grid and load flow calculation simulation technologies can be fused by means of reinforcement learning, and unlike a conventional algorithm, a complex and difficult-to-solve calculation model does not need to be established, so that rapid optimization adjustment of power grid real-time scheduling is achieved, the optimization adjustment cost is reduced, and the matching degree of power grid real-time scheduling and actual operation is improved.

Abstract: A support structure for supporting objects of different weights includes a bracket, an elastic member, and an adjustment assembly. The bracket is configured to support different supported objects of different weights. The elastic member is arranged on the bracket and configured to deform elastically to provide torques for the supported objects. The adjustment assembly is connected between the bracket and the supported object. The adjustment assembly compresses the elastic member by the weights of the supported objects to produce torsional deformations of different degrees and enables the bracket to support the supported objects.

Abstract: A support structure for supporting objects of different weights includes a bracket, an elastic member, and an adjustment assembly. The bracket is configured to support different supported objects of different weights. The elastic member is arranged on the bracket and configured to deform elastically to provide torques for the supported objects. The adjustment assembly is connected between the bracket and the supported object. The adjustment assembly compresses the elastic member by the weights of the supported objects to produce torsional deformations of different degrees and enables the bracket to support the supported objects.

Abstract: Embodiments of the present disclosure provide a sliding door unit and an electronic device thereof. The sliding door unit includes a sliding door, setting on a base through a sliding component, and configured to slide relative to the base when receiving an external force; a first movement mechanism group placed at a first end of the sliding door; and a second movement mechanism group placed at a second end of the sliding door, and the first and second ends being two opposite ends. The first movement mechanism group and the second movement mechanism group move at a matching pace relative to the sliding door on the base when the sliding door is moved by the external force.

Abstract: Embodiments of the present disclosure provide a sliding door unit and an electronic device thereof. The sliding door unit includes a sliding door, setting on a base through a sliding component, and configured to slide relative to the base when receiving an external force; a first movement mechanism group placed at a first end of the sliding door; and a second movement mechanism group placed at a second end of the sliding door, and the first and second ends being two opposite ends. The first movement mechanism group and the second movement mechanism group move at a matching pace relative to the sliding door on the base when the sliding door is moved by the external force.