Electric vehicle load aggregation method based on wind power curve continuous tracking

Abstract

The invention relates to a wind power curve continuous tracking-based electric vehicle load aggregation method, which comprises the following steps of: constructing an electric vehicle load consumption wind power curve aggregation model to obtain an electric vehicle calling result, and calculating a wind curtailment power quantity according to the electric vehicle calling result; optimizing the wind curtailment electric quantity by utilizing energy storage equipment to obtain the wind curtailment electric quantity after energy storage adjustment and optimization, setting energy storage power and capacity configuration, and constructing a wind power curve continuous tracking model after energy storage adjustment and optimization; and on the basis of the wind power curve continuous tracking model after energy storage adjustment and optimization, the charging and discharging power of the energy storage equipment in each time period is solved, the cost of output aggregation is calculated, and a final output cost and deviation-optimized electric vehicle aggregation continuous tracking wind power curve scheme is obtained. According to the method, the aggregation model and the tracking model are constructed, and the cost of each output is calculated, so that the curve continuous tracking of renewable energy sources such as wind power and the like with higher precision is realized, and meanwhile, the economic cost of aggregation is reduced.

Description

technical field [0001] The invention relates to the technical field of load aggregation regulation, in particular to an electric vehicle aggregation method based on continuous tracing of wind power curves. Background technique [0002] Under the dual background of the gradual scarcity of traditional fossil energy and increasingly severe environmental problems, the advantages of renewable and clean energy led by wind power and photovoltaics have gradually become prominent. However, due to the randomness and volatility of their power generation output, energy consumption faces huge challenges. challenge. Fully regulating demand-side flexible and controllable resources to participate in new energy curve tracking can reduce the negative impact of intermittent clean energy output fluctuations and build a clean and efficient energy system. [0003] Electric vehicles have great potential in new energy consumption due to their flexible and controllable load characteristics. At pres...

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Problems solved by technology

[0003] Due to its flexible and controllable load characteristics, electric vehicles have great potential in the consumption of new energy. At present, there have been a lot of researches on the aggregation of electric vehicle loads to participate in market dispatching, so as to realize the tracking of new energy curves. There is still a lack of optimization means for large-scale clean energy, and the continuous tracking of the curve requires finer time granularity. Therefore, it is necessary to formulate an optimal aggregation method for the continuous tracking of new energy curves for electric vehicle loads, so as to fully utilize demand-side resources to absorb new energy. potential to help build a new power system with a high proportion of renewable energy

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