Optimal allocation of energy storage in distribution network considering aggregate regulation of electric vehicles

doi:10.19799/j.cnki.2095-4239.2023.0310

Abstract

Abstract:

The regulation of flexible loads, such as electric vehicles, is an emerging means of enhancing the power grid operation flexibility; however, it is often overlooked in the energy storage planning stage. Therefore, this article proposes an optimized configuration method for energy storage in distribution networks that considers the aggregation regulation of electric vehicles. First, the operation domain of a single electric vehicle was characterized by taking into account the arrival time, departure time, expected electricity, and other characteristic parameters. Then, a second-order approximate practical model of the charging station was obtained based on the Hermann-Minkowski sum of electric vehicles, which was used to characterize the aggregation regulation characteristics of electric vehicles. An energy storage operation model that used branch virtual resistors to characterize charging and discharging losses was established. Furthermore, a two-stage stochastic optimization method for energy storage planning operation was proposed based on the K-Medoids scene generation and Bender's decomposition algorithms. The results based on the improved IEEE-33 node distribution system showed that as the controllable proportion of electric vehicles increased, the total capacity of energy storage configuration would increase, carbon emissions be significantly reduced, and photovoltaic utilization efficiency be significantly improved.

Key words: energy storage configuration, electric vehicles, aggregation control, two-stage stochastic optimization

CLC Number:

TM 73

Shigang LUO, Jie TENG, Zhuangxi TAN. Optimal allocation of energy storage in distribution network considering aggregate regulation of electric vehicles[J]. Energy Storage Science and Technology, 2023, 12(11): 3395-3405.

Figures/Tables 14

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Table 1

CO2 equivalent value for each energy type"

电源类型	$t C O 2 e q / M W h$
光伏	0.01
上级主网(视为火电)	0.82

Table 1

Fig. 8

Table 2

Fig. 9

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储能建设位置	变流器容量/MW	电池容量/MWh
16	0.56	2.25
21	0.83	3.32
31	0	0

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