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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.

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为降低风电功率波动性、反调峰性对电网运行的不利影响,提出一种考虑风电消纳的“风-网-EV充换电站”协同优化调度策略。首先将火电作为可调节电源辅助风电上网,并通过碳交易机制促使火电系统在电网负荷低、弃风率高的时段,主动降低出力减碳运行,等效提升风电上网空间;然后在满足电网用电需求基础上,接入充换电站负荷进一步抑制风电功率波动,同时提升风电消纳量,以电网负荷峰谷差最小以及系统综合运行成本最优为目标函数,构建联合系统低碳经济运行模型;最后通过NSGA-Ⅱ算法对不同情景求解分析。结果表明:该策略能够有效降低系统运行成本、电网负荷峰谷差,提高电网风电消纳率。

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王帅强(1996),男,硕士研究生,主要研究方向为电力系统及其自动化,

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王帅强(1996),男,硕士研究生,主要研究方向为电力系统及其自动化,

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王帅强(1996),男,硕士研究生,主要研究方向为电力系统及其自动化,

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考虑风电消纳的“风-网-EV充换电站”协同优化策略研究
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王帅强 1 , 段俊东 1 , 段志远 2
热力发电 | 风电系统运行控制及优化调度技术 2023,52(3): 112-120
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热力发电 | 风电系统运行控制及优化调度技术 2023, 52(3): 112-120
考虑风电消纳的“风-网-EV充换电站”协同优化策略研究
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王帅强1 , 段俊东1, 段志远2
作者信息
  • 1.河南理工大学电气学院,河南 焦作 454000
  • 2.国网河南省电力公司济源供电公司,河南 济源 454650
  • 王帅强(1996),男,硕士研究生,主要研究方向为电力系统及其自动化,

Study on collaborative optimization strategy of "wind-grid-EV charging and swapping station" considering wind power consumption
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
出版时间: 2023-03-25 doi: 10.19666/j.rlfd.202210256
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为降低风电功率波动性、反调峰性对电网运行的不利影响,提出一种考虑风电消纳的“风-网-EV充换电站”协同优化调度策略。首先将火电作为可调节电源辅助风电上网,并通过碳交易机制促使火电系统在电网负荷低、弃风率高的时段,主动降低出力减碳运行,等效提升风电上网空间;然后在满足电网用电需求基础上,接入充换电站负荷进一步抑制风电功率波动,同时提升风电消纳量,以电网负荷峰谷差最小以及系统综合运行成本最优为目标函数,构建联合系统低碳经济运行模型;最后通过NSGA-Ⅱ算法对不同情景求解分析。结果表明:该策略能够有效降低系统运行成本、电网负荷峰谷差,提高电网风电消纳率。

风电消纳  /  碳交易机制  /  配网负荷峰谷差  /  EV充换电站  /  NSGA-Ⅱ算法

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
王帅强, 段俊东, 段志远. 考虑风电消纳的“风-网-EV充换电站”协同优化策略研究. 热力发电, 2023 , 52 (3) : 112 -120 . DOI: 10.19666/j.rlfd.202210256
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
  • 国家自然科学基金项目(61703144)
2023年第52卷第3期
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doi: 10.19666/j.rlfd.202210256
  • 接收时间:2022-10-10
  • 首发时间:2026-01-23
  • 出版时间:2023-03-25
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  • 收稿日期:2022-10-10
基金
National Natural Science Foundation of China(61703144)
国家自然科学基金项目(61703144)
作者信息
    1.河南理工大学电气学院,河南 焦作 454000
    2.国网河南省电力公司济源供电公司,河南 济源 454650
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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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