The invention relates to the technical field of power distribution networks, in particular to a distributed power supply scheduling control method based on edge calculation. The method comprises the following steps: A) obtaining a topological structure and scheduling data of a target distribution network, and listing a transformer, energy storage equipment and a wind-solar power station in the target distribution network; B) reading an active power prediction value and a reactive power prediction value of the load in the next time period, and predicting the output of the wind-solar power station; C) calculating a characteristic value, and if the characteristic value is smaller than a set threshold value, entering a step E); D) only outputting active power by the wind-solar power station, and returning to the step B); E) calculating the ratio of active power to reactive power output by the wind-solar power station; and F) respectively outputting the real-time output of the wind-solar power station as active power and reactive power according to the ratio, and returning to the step B. The method has the substantive effects of reducing the influence on the power distribution network when the renewable energy power station with unstable output is accessed to the power distribution network, being beneficial to expanding the access of renewable energy, and being suitable for the power distribution network with high permeability.

Distributed power supply scheduling control method based on edge calculation

The application provides a distributed photovoltaic power station fault monitoring method and device based on edge computing, which are applied to an edge computing device. The method comprises the steps of: obtaining meteorological and environmental parameters of an area where a target distributed photovoltaic power station is located, cloud block image data and field equipment image data above the target distributed photovoltaic power station; predicting the power generation power of the target distributed photovoltaic power station in a set time period by using the meteorological and environmental parameters, the cloud block image data above and the field equipment image data to serve as predicted power generation power; acquiring actual power generation power of the target distributedphotovoltaic power station within the set time period; and monitoring whether the target distributed photovoltaic power station has abnormity or faults or not by comparing the predicted power generation power with the actual power generation power. In the application, the abnormity or fault monitoring of the target distributed photovoltaic power station can be achieved through the mode, and the monitoring reliability is improved.

Niu Rui

Papers

Distributed photovoltaic power station fault monitoring method and device based on edge computing