Electric vehicle energy storage aggregation modeling method based on Markov process

Abstract

The invention discloses an electric vehicle energy storage aggregation modeling method based on a Markov process. According to the technical scheme, the method comprises the following steps: firstly, providing an electric vehicle charge state division method, discretizing continuously changing charge states in a charging process of an electric vehicle, and converting the discretized charge states into a double-layer interval nested discrete structure; then, considering the probability distribution of the battery capacity of the electric vehicle, solving a one-step transition probability of a small interval (an interval obtained by second-layer division) based on a Markov theory, and further obtaining an expected one-step transition probability between large intervals (an interval obtained by first-layer division); and finally, discussing the dynamic change process of the electric vehicle load in the interval according to conditions, deducing a transition probability matrix and a state space expression of an electric vehicle cluster, namely an electric vehicle aggregation model, and verifying the accuracy of the model by using a Monte Carlo simulation method. The method can be used for establishing a state space model of large-scale electric vehicle charge state discretization, thousands of electric vehicles are converted into linear state space expressions with few dimensions, and the dimensions of the expressions are irrelevant to the number of the electric vehicles. Therefore, the dimension reduction of the electric vehicle cluster control variable can be realized, so that the time and space pressure calculated by the control algorithm can be relieved to a great extent.

Description

technical field [0001] The invention relates to the field of power system demand response, and relates to an aggregation modeling method for electric vehicles, in particular to an energy storage aggregation modeling method for electric vehicles based on a Markov process. [0002] technical background [0003] In order to cope with the energy crisis and environmental problems, new energy represented by wind power and photovoltaics has been connected to the power grid on a large scale, which puts forward higher requirements for the regulation ability of the power grid. The traditional method of adding spare capacity on the source side to achieve supply and demand balance is difficult to cope with the high fluctuation and randomness of system load, and the operating cost is relatively high. With the improvement of Internet of Things and smart grid technology, load-side demand response technology has been developed, and the introduction of dispatchable load into power system regu...

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Problems solved by technology

[0005] The purpose of the present invention is to establish a control-oriented aggregated electric vehicle model to solve the pro

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