Schedulable capacity prediction method and device based on mobile energy storage electric vehicle

Abstract

The invention relates to a schedulable capacity prediction method and device based on a mobile energy storage electric vehicle. The method comprises the following steps: determining response power of each electric vehicle accessed to a power grid at a scheduling moment according to a charge state of each electric vehicle accessed to the power grid at the scheduling moment and a preset driving distance interval to which a preset driving distance belongs; and determining schedulable capacities of all the electric vehicles accessed to the power grid at the scheduling moment according to the response power of each electric vehicle accessed to the power grid at the scheduling moment. According to the technical scheme provided by the invention, the scheduling time and the SOC margin are comprehensively considered, the economy of power grid operation is improved, orderly charging and discharging of an electric vehicle access power grid are ensured, the peak-valley difference of a microgrid system is reduced, an approach is provided for scattered and small-capacity electric vehicles to participate in power grid optimization scheduling, and the device and the method are of great significance to engineering practice.

Description

technical field [0001] The invention relates to the technical field of electric vehicle dispatching, in particular to a dispatchable capacity prediction method and device based on mobile energy storage electric vehicles. Background technique [0002] Due to its increasingly prominent advantages such as energy saving and emission reduction, electric vehicles have attracted the attention and attention of governments all over the world. In the context of the global energy revolution, electric vehicles have become an inevitable trend in the development of the automobile industry due to their advantages of "replacing oil with electricity". In recent years, with the gradual large-scale promotion and application of electric vehicles, their random and disorderly charging and discharging will inevitably increase the load volatility of the power system during special periods, and will also aggravate the problems of voltage drop and branch capacity mismatch in local power grids. It wi...

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Problems solved by technology

[0004] The main problem with the research on the dispatchable capacity of electric vehicles is that the probabilistic model is usually used at present, and the accuracy of the dispatchable capacity prediction model established is not high, ignoring the impact of the timing state of the corresponding system of electric vehicles on the change response capability; and the vehicle The charging load has great randomness, resulting in an increase in the daily load fluctuation in the region; only considering the dispatchable capacity of the electric vehicle in the stopped state, ignoring the role of the mobile energy storage of the electric vehicle

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