A peak-shaving method for energy storage in distribution network considering the v2g capacity of electric vehicles under peak-valley electricity prices
A technology of electric vehicles and peak-to-valley electricity prices, which is applied in the field of distribution network, can solve the problem of peak-on-peak distribution network, and achieve the effect of reducing errors
Active Publication Date: 2022-07-01
SOUTHEAST UNIV
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Problems solved by technology
[0004] The problem existing in the existing technology is: a large number of distributed power sources in the distribution network and the disorderly access of electric vehicles cause the peak-on-peak problem of the distribution network
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[0067] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.
[0068] The construction process of the single electric vehicle V2G capability prediction model is as follows:
[0069] The parameters of the electric vehicle are shown in Table 1.
[0070]
[0071]
[0072] Table 1
[0073] Electric vehicle model reference table 2:
[0074] type parameter Rated battery capacity / kW h 64 Battery SOC upper limit / 100% 95％ Battery SOC lower limit / 100% 20％ Rated charging power / kW 7 Rated discharge power / kW 7 Rated charge and discharge efficiency / 100% 90％
[0075] Table 2
[0076] The basic parameters of electric vehicles include: time to arrive at the office area t b1 , obey the normal distribution N(8.5,0.5 2 ), leaving office time t b2 , obey the norma...
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The invention proposes a peak-shaving method for energy storage and peak regulation in a distribution network that considers the V2G capability of an electric vehicle under the peak-valley electricity price. According to the basic parameters and operation constraints of the electric vehicle, a V2G capability boundary is formed for the electric vehicle and a fixed-duration V2G capability prediction model is established; Considering the total number of electric vehicles in the distribution network, establish a large-scale electric vehicle response to a fixed-time V2G strategy under peak and valley electricity prices; according to the daily load curve of the distribution network, obtain the distribution network's daily dispatch power curve; The optimal peak and valley filling effect is the objective function, and the dual-time-scale optimization of electric vehicles with energy storage V2G is carried out on a smaller time scale, and the intraday dispatch power curve of the distribution network is obtained. The scheduling method of the present invention fully considers the V2G willingness of electric vehicle owners to maximize their benefits, and at the same time fully considers the V2G capability of electric vehicles under the dual time scale, assisting energy storage to achieve the function of shaving peaks and filling valleys for the load of the distribution network, and reducing The error of the previous plan was reduced.
Description
technical field [0001] The invention relates to the technical field of distribution networks, in particular to a method for energy storage and peak regulation in distribution networks that considers the V2G capability of electric vehicles under peak-valley electricity prices. Background technique [0002] As a dynamic load, electric vehicle (EV) has strong randomness in its charging behavior, and its impact on the power grid cannot be ignored. Disorderly charging of large-scale electric vehicles will reduce the economy, stability and reliability of power grid operation, and endanger the safe operation of the power grid. Therefore, it is necessary to adopt appropriate control strategies to guide electric vehicle users to charge in an orderly manner to improve the target regional power grid. load characteristics. [0003] In order to give full play to the characteristics of two-way flow of energy in the on-board energy storage battery of electric vehicles, the interaction bet...
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IPC IPC(8): H02J3/32
CPCH02J3/32
Inventor 高山厉国舜刘宇
Owner SOUTHEAST UNIV