Abstract: A method for judging aging degree of insulation of a cable T-connector based on a dynamic heat source is provided. Specifically, a temperature rise verification test platform of the cable T-connector is constructed, and heating of a cable core is simulated by using a controllable heat source. Influence of different thermal conductivity of an insulation layer on internal and external temperature responses of the cable T-connector is studied, and the temperature rise test platform is constructed to simulate the temperature response of the outer skin of the cable T-connector under the same temperature change of the internal heat source and compare the temperature response of the outer skin of the cable T-connector in different states through experiments, so as to obtain the corresponding relationship between aging degree and heat transfer capacity.

Abstract: Disclosed is a method and system for grid connection management of renewable energy generation, the method comprises: obtaining operating condition data of a first power supply, a second power supply, a power grid, and a load in a preset period; establishing a first optimal control model according to the first condition data, and establishing a second optimal control model; monitoring grid connection management status of the first optimal control model and the second optimal control model; analyzing stability when the first optimal control model is switched to the second optimal control model. The beneficial effects of this disclosure are: completing the switch from the first optimal control model to the second optimal control model in the renewable energy generation grid connection management, which improves the smoothness of control model switching under different load conditions in the renewable energy generation process.

Abstract: Disclosed is a method and system for grid connection management of renewable energy generation, the method comprises: obtaining operating condition data of a first power supply, a second power supply, a power grid, and a load in a preset period; establishing a first optimal control model according to the first condition data, and establishing a second optimal control model; monitoring grid connection management status of the first optimal control model and the second optimal control model; analyzing stability when the first optimal control model is switched to the second optimal control model. The beneficial effects of this disclosure are: completing the switch from the first optimal control model to the second optimal control model in the renewable energy generation grid connection management, which improves the smoothness of control model switching under different load conditions in the renewable energy generation process.