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Study on collaborative optimization strategy of "wind-grid-EV charging and swapping station" considering wind power consumption
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Shuaiqiang WANG1, Jundong DUAN1, Zhiyuan DUAN2
Thermal Power Generation | 2023, 52(3) : 112 - 120
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Thermal Power Generation | 2023, 52(3): 112-120
Operation control and optimal scheduling technologies of wind power system
Study on collaborative optimization strategy of "wind-grid-EV charging and swapping station" considering wind power consumption
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Shuaiqiang WANG1, Jundong DUAN1, Zhiyuan DUAN2
Affiliations
  • 1.College of Electrical Engineering, Henan Polytechnic University, Jiaozuo 454000, China
  • 2.State Grid Henan Electric Power Company Jiyuan Power Supply Company, Jiyuan 454650, China
Published: 2023-03-25 doi: 10.19666/j.rlfd.202210256
Outline
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In order to reduce the adverse impact of wind power fluctuation and anti-peak shaving on power grid operation, a coordinated optimal dispatching strategy of "wind-grid-EV charging and swapping station" considering wind power consumption is proposed. Firstly, thermal power is used as an adjustable power supply to assist wind power grid, and through the carbon trading mechanism, the thermal power system is encouraged to actively reduce output and reduce carbon during periods of low grid load and high wind abandonment rate, so as to effectively improve the wind power grid space. Then, on the basis of meeting the power demand of the power grid, the load of the charging and changing power station is connected to further restrain the fluctuation of wind power, and at the same time, the wind power consumption is increased. The objective function is to minimize the peak valley difference of power grid load and optimize the comprehensive operation cost of the system. The low-carbon economic operation model of the joint system is constructed. Finally, the NSGA-Ⅱ algorithm is used to solve and analyze different scenarios. The results show that, this strategy can effectively reduce the system operation cost and the peak valley difference of grid load, and improve the wind power consumption rate of the grid.

wind power consumption  /  carbon trading mechanism  /  peak valley difference of distribution network load  /  EV charging and swapping station  /  NSGA-Ⅱ algorithm
Shuaiqiang WANG, Jundong DUAN, Zhiyuan DUAN. Study on collaborative optimization strategy of "wind-grid-EV charging and swapping station" considering wind power consumption[J]. Thermal Power Generation, 2023 , 52 (3) : 112 -120 . DOI: 10.19666/j.rlfd.202210256
  • National Natural Science Foundation of China(61703144)
Year 2023 volume 52 Issue 3
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Article Info
doi: 10.19666/j.rlfd.202210256
  • Receive Date:2022-10-10
  • Online Date:2026-01-23
  • Published:2023-03-25
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  • Received:2022-10-10
Funding
National Natural Science Foundation of China(61703144)
Affiliations
    1.College of Electrical Engineering, Henan Polytechnic University, Jiaozuo 454000, China
    2.State Grid Henan Electric Power Company Jiyuan Power Supply Company, Jiyuan 454650, China
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表12种不同金属材料的力学参数

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Number of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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