Power-system scheduling that takes into account electric-vehicle energy storage and its flexibility analysis

doi:10.19799/j.cnki.2095-4239.2024.1174

Abstract

Abstract:

As the proportion of new forms of energy in the power grid and the usage of electric vehicles increase, the energy fluctuations and the uncertain charging loads die to electric vehicles have brought challenges to the flexible operation of power system. To meet users' travel needs, electric vehicles are parked most of the day, and with the development of vehicle-network interaction technology, electric vehicles have certain energy storage characteristics. In this paper, a charging-and-discharging strategy for power-system scheduling is proposed that takes into account the uncertainty of electric vehicle users' willingness to participate, and the flexibility of this strategy is analyzed. First, in order to solve the problem that the scheduling of charging-and-discharging existing electric vehicles does not consider a user's willingness to participate, an optimistic and a pessimistic strategy for the orderly charging-and-discharging of electric vehicles is proposed based on the logistic function, which reflects the uncertainty of a user's willingness to participate in orderly scheduling of charging-and-discharging. The influence of different charging-and-discharging modes for electric vehicles on the multi-timescale dispatching of the power system is then compared and analyzed, with intra-day dispatching carried out on the basis of the previous day, with the minimum comprehensive cost of power system dispatching as the objective function. Finally, the simulation results show that considering the energy-storage characteristics of electric vehicles, the charging-and-discharging strategy for electric vehicles proposed in this paper, which takes into account users' willingness to participate, not only cuts off peaks and fills valleys effectively but also promotes the flexible operation of the power system at less cost.

Key words: electric vehicles, vehicle-to-grid, willingness to participate, flexibility

CLC Number:

TM 73

Hao XIONG, Danzhen GU, Changsheng CHENG, Wenhao SHI. Power-system scheduling that takes into account electric-vehicle energy storage and its flexibility analysis[J]. Energy Storage Science and Technology, 2025, 14(6): 2416-2430.

Figures/Tables 38

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Table 1

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Table 2

Distribution of commuting time of EV"

时段	参数
上班离网时间 $t l 1$	$N (7,0 . 52)$
上班入网时间 $t r 1$	$N (8,0 . 52)$
下班离网时间 $t l 2$	$N (16.5,0 . 52)$
下班入网时间 $t r 2$	$N (17.5,0 . 52)$

Table 2

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Table 3

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Table 4

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Fig. G5

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时段	电价/(元/kWh)
22：00—3：00，9：00—16：00	0.305
3：00—9：00，21：00—22：00	0.615
16：00—21：00	1.025

调度方式	充电费用/元
无序充电	1246
有序充电	589
V2G	315

充放电方式	火电/元	抽蓄/元	储能/元	风电/元	光电/元	惩罚/元	合计/元
无序充电	11308	549	1383	861	817	5725	20643
有序充电	11724	663	1585	866	811	2551	18200
V2G	12009	494	1778	866	807	1918	17872

充放电方式	火电/元	抽蓄/元	储能/元	风电/元	光电/元	惩罚/元	合计/元
无序充电	12130	1163	1947	866	812	2223	19143
有序充电	12025	813	1747	868	817	718	16988
V2G	12085	700	1695	868	817	185	16350

充放电方式	火电/元	抽蓄/元	储能/元	风电/元	光电/元	惩罚/元	合计/元
无序充电	11308	549	1383	861	817	5725	20645
有序充电	11724	663	1585	866	811	2551	18204
V2G	12009	494	1778	866	807	1918	17876