Medium- and long-term implicit random dispatching method for cascade hydropower stations of combined wind power and photovoltaic power stations

Abstract

The invention relates to a medium- and long-term implicit random scheduling method for a cascade hydropower station combined with a wind power photovoltaic power station, and belongs to the technical field of hybrid energy system scheduling. The method considers the uncertainty of monthly runoff, and uses the radial basis neural network to fit the scheduling model through the implicit random scheduling method. The model of the present invention reasonably considers the uncertainty of wind power and photovoltaics and the impact of the reverse peak regulation phenomenon on the power grid, and considers the short-term wind and wind uncertainty in the medium and long-term dispatching to reserve sufficient reserves, and allocates enough daily electricity to deal with reverse regulation The pressure brought by the peak phenomenon to the peak regulation of the power grid. The model results of the present invention are very different from the results when short-term backup of wind power and photovoltaic power is not considered. The present invention can effectively utilize wind power photovoltaic output and cascade hydropower station optimization scheduling information, and provide scientific decision-making for cascade hydropower stations under the condition of large-scale new energy grid connection. An operable reference basis.

Description

technical field [0001] The invention belongs to the technical field of dispatching of hybrid energy systems, and in particular relates to a medium- and long-term implicit random dispatching method for cascade hydropower stations of combined wind power and photovoltaic power stations. Background technique [0002] In order to achieve sustainable development goals, the proportion of renewable new energy such as wind power and photovoltaic power in the power system is getting higher and higher. Compared with traditional energy sources, the uncertainty of the output of wind farms and photovoltaic power plants makes it difficult to predict the time and size of the peak and trough of new energy output, and the intermittent nature of new energy leads to fluctuations in output. To accommodate more intermittent energy sources, the power system needs to provide more system flexibility, and how to use traditional dispatchable energy sources to provide flexible resources for the power s...

AI Technical Summary

Problems solved by technology

In cascade reservoir scheduling, there is often a non-linear relationship between decision variables and decision factors, and due to the influence of hydraulic connections between reservoirs, each reservoir has many decision factors to choose from. brings difficulties

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