Dual incentive optimal scheduling of microgrid considering flexible energy storage of electric vehicles

doi:10.19799/j.cnki.2095-4239.2023.0077

Abstract

Abstract:

A dual incentive adjustment strategy is proposed based on flexible energy storage of electric vehicles to address the problem of peak valley differences caused by the difficulty in orderly charging of electric vehicles under a single incentive, such as time-of-use electricity pricing, within the power system, which is difficult to cope with the supply and demand fluctuations caused by wind power generation and daily load patterns. To address this issue, our strategy incorporates several key elements. Firstly, the charging load of electric vehicles is predicted based on Monte Carlo simulations, and a battery loss model is established. On this basis, the optimization objectives are defined by considering the output of different power supply equipment in different periods, the proportion of carbon emissions, carbon quotas in the daily forecast, the cost of microgrid power generation, and the expected state of charge of users to minimize the mean square deviation of microgrid connected to power while maximizing user benefits. By dynamically adjusting the time-of-use electricity price and implementing a tiered carbon price, the optimized Grey Wolf algorithm is used to solve the model and formulate a reasonable charging and discharging plan to fully utilize the characteristics of electric vehicles as flexible loads, thereby suppressing the fluctuations in the load curve of the microgrid. Finally, simulation analysis is conducted to compare the proposed strategy with both non-incentive and single-incentive strategies, and the results showed that the peak-to-valley load difference decreases by 30.1% and 18.6%, respectively, verifying the effectiveness and superiority of our approach. Furthermore, the improvement of the owner-user benefits and the reduction of carbon emissions have verified that the environmental characteristics of electric vehicles require coordinated development with clean energy.

Key words: electric vehicle, dual incentive, microgrid, carbon quota, ladder carbon valence

CLC Number:

TM 73

Xiang ZHANG, Jundong DUAN, Boyang KANG. Dual incentive optimal scheduling of microgrid considering flexible energy storage of electric vehicles[J]. Energy Storage Science and Technology, 2023, 12(8): 2556-2564.

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碳配额相关参数	数值
微燃机单位电量的碳配额/(kg/kW)	0.6112
微燃机单位电量的碳排放/(kg/kW)	0.7109
燃油车每公里的碳排放量/(kg/km)	0.197
电网购电单位电量的碳配额/(kg/kW)	0.7201
电网购电单位电量的碳排放/(kg/kW)	0.8891
碳排放区间/kg	40
电网购电价格/(元/kWh)	0.8

具体时段	电价/(元/kWh)
1，2，3，4，5，6，7，24	0.25
8，9，10，11，14，15，16，17	0.5
12，13，18，19，20，21，22，23	0.8

具体时段	碳价/(元/kWh)
1，2，3，4，5，6，7，8，22，23，24	0.20
21	0.24
10，12，13，17，19	0.26
9，11，14，15，16，18，20	0.28

场景	考虑分时电价	考虑碳交易
1	×	×
2	√	×
3	√	√

场景	负荷峰谷差/kW	用户收益/元	微电网运行费用/元
场景1	2655.6	—	54353
场景2	2280.2	1549.3	57262
场景3	1856.2	3683.2	54390