Power grid peak regulation control system and method based on multi-energy complementation

Abstract

The invention relates to a power grid peak regulation control system based on multi-energy complementation, and belongs to the technical field of renewable energy comprehensive utilization. The system comprises M groups of photovoltaic generator sets, a combined heat and power generation unit, N edge computing servers, a cloud computing server, a comprehensive regulation and control device, a user side comprehensive measurement and control terminal, a remote controller, a first data collector and a second data collector. According to the invention, the control system of a 5G + distributed photovoltaic power generation system + an edge computing server is adopted to acquire behavior data of a terminal user, wherein the edge computing server is utilized to predict the productivity information of the photovoltaic generator sets and the power consumption of user power consumption equipment in the next time period at the edge end; then the energy is sent to the cloud to predict the cogeneration unit energy supply required by the user power consumption equipment in a future period of time, so that the peak regulation of the power grid is realized, and the maximum consumption of photovoltaic power generation is realized; as a result, the calculation amount of the cloud computing server is greatly reduced, and the calculation speed of the system is improved, so that the peak regulation response speed of the system is guaranteed.

Description

technical field [0001] The invention belongs to the technical field of comprehensive utilization of renewable energy, and relates to a power grid peak regulation control system and method based on multi-energy complementarity. Background technique [0002] As a renewable energy source, solar energy has developed rapidly in recent years and has been better applied in some sunny areas. Taking solar power generation as an example, after the photovoltaic power plant is connected to the grid, it will be used for cooling supply in some areas. However, the fluctuation of photovoltaic power output and the difference and fluctuation of cooling load required by users have brought adverse effects such as potential safety hazards to the operation of the power grid. The existing refrigeration scheduling system uniformly handles the cooling load required by each user, and based on a fixed control cycle, predicts the total cooling load required by users in the future by analyzing historic...

AI Technical Summary

Problems solved by technology

Because this control method cannot accurately know the user's behavior and even the load, it leads to large errors and increases the difficulty of power grid dispatching. and waste of social resources

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