Energy storage configuration method of electric vehicle quick charging station
A fast charging and electric vehicle technology, applied in the direction of genetic law, combustion engine, internal combustion piston engine, etc., can solve the problems of lack of energy storage configuration, peak load on the grid, etc., to reduce energy storage investment and reduce load power Sudden changes, the effect of reducing volatility
Active Publication Date: 2019-11-19
SHANGHAI UNIVERSITY OF ELECTRIC POWER
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Problems solved by technology
However, the energy storage configuration of existing charging stations lacks reasonable planning. Most of the existing charging stations configure energy storage based on low energy storage and high energy storage to obtain price arbitrage, which is likely to cause the phenomenon of peak-on-peak load on the grid
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[0047] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.
[0048] Such as figure 1 As shown, this embodiment provides an energy storage configuration method for an electric vehicle fast charging station, which optimizes the random charging load of the charging station by using the energy storage sequential power control, and at the same time makes the price arbitrage of the unit energy storage single charge and discharge optimal, In order to obtain certain economic benefits, by establishing a multi-objective optimization model and using the NSGA-II algorithm to determine the non-dominant relationship of the target, calculate the energy storag...
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The invention relates to an energy storage configuration method for an electric vehicle rapid charging station, and the method specifically comprises the following steps: obtaining the historical dataof a vehicle entering the station, and employing a Monte Carlo method to simulate and obtain the daily random charging load power; discretizing the daily random charging load power into a time sequence electric energy demand; establishing a multi-objective optimization model of the energy storage price arbitrage and the load fluctuation variance according to the time sequence electric energy demand; optimizing the plurality of optimization indexes by adopting an NSGA-II algorithm to obtain an energy storage time sequence charging and discharging plan; and calculating to obtain the energy storage capacity according to the energy storage time sequence charging and discharging plan, and configuring the storage equipment. Compared with the prior art, the method can effectively improve the commercial operation value of energy storage and reduce the sudden change of the load power of the grid-connected point.
Description
technical field [0001] The invention relates to the field of configuration of charging stations for electric vehicles, in particular to an energy storage configuration method for fast charging stations for electric vehicles. Background technique [0002] The rapid and disorderly charging of electric vehicles will bring overload and uncertain peak loads to the power grid. The deployment of a certain capacity of energy storage at the charging station can play a role in load shaping, or play a role in peak shaving and valley filling for the distribution network. However, the energy storage configuration of existing charging stations lacks reasonable planning. Most of the energy storage configurations of existing charging stations are based on low energy storage and high energy storage to obtain price arbitrage, which is likely to cause the phenomenon of peak load on the grid. Therefore, realizing energy storage sequential energy configuration under multi-objective optimization ...
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IPC IPC(8): G06Q10/06G06Q50/06G06N3/12
CPCG06Q10/06315G06Q10/06312G06Q50/06G06N3/126Y02T10/40Y02T10/70
Inventor 王育飞薛花何阳张宇华
Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER