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考虑双时间尺度调度周期的储能最优容量配置
引用本文:吴雅仪,陈红坤,徐坤领,姜欣,林春.考虑双时间尺度调度周期的储能最优容量配置[J].电力系统保护与控制,2018,46(5):106-113.
作者姓名:吴雅仪  陈红坤  徐坤领  姜欣  林春
作者单位:武汉大学电气工程学院,湖北 武汉 430072,武汉大学电气工程学院,湖北 武汉 430072,国网湖北省电力公司黄石供电公司,湖北 黄石 435000,武汉大学电气工程学院,湖北 武汉 430072,武汉大学电气工程学院,湖北 武汉 430072
摘    要:储能系统可以通过缓冲净负荷的波动性和不确定性,增加含风电电力系统的灵活性。为了考虑小时内系统爬坡需求,提出小时级和小时内的双时间尺度调度周期储能最优容量配置模型。在小时级时间尺度,该模型确定的储能容量能保证系统电量的供需平衡。在小时内时段,该模型确定的储能容量和功率能确保系统有足够的爬坡能力满足小时内的负荷跟随并且响应短期净负荷波动。该方法可以有效提高风电接入系统的可靠性,并为风电场储能容量配置与现有电网调度运行方式衔接提供参考。最后采用实际风电场数据,通过仿真分析验证了该方法的有效性。

关 键 词:双时间尺度  储能容量  爬坡能力  负荷跟随  短期波动
收稿时间:2017/2/27 0:00:00
修稿时间:2017/7/11 0:00:00

Optimal capacity allocation of energy storage system considering two time scale scheduling cycles
WU Yayi,CHEN Hongkun,XU Kunling,JIANG Xin and LIN Chun.Optimal capacity allocation of energy storage system considering two time scale scheduling cycles[J].Power System Protection and Control,2018,46(5):106-113.
Authors:WU Yayi  CHEN Hongkun  XU Kunling  JIANG Xin and LIN Chun
Affiliation:School of Electrical Engineering, Wuhan University, Wuhan 430072, China,School of Electrical Engineering, Wuhan University, Wuhan 430072, China,Huangshi Power Supply Company, State Grid Hubei Electric Power Company, Huangshi 435000, China,School of Electrical Engineering, Wuhan University, Wuhan 430072, China and School of Electrical Engineering, Wuhan University, Wuhan 430072, China
Abstract:Energy storage system can enhance the flexibility of power system containing wind power through buffering the fluctuation and uncertainty of the net load. In order to taking into account the intra hourly ramping needs, this paper proposes an optimal capacity allocation model of energy storage considering the two time scale scheduling cycles:hourly scale and intra-hour scale. In the hourly time scale, the energy storage capacity determined by the model can provide sufficient power to support the load demand. In the intra-hour time scale, the energy storage capacity and power of the model ensures that the system has sufficient ramping capability to meet the intra-hour load following and response to short-term net load fluctuation. This model can effectively improve the reliability of wind power connected to the system, and supply reference the connection between energy storage capacity configuration with the existing system scheduling operation mode. Finally, the actual wind farm data is used in simulation, and the results verify the method is effective.
Keywords:two time scale  energy storage system capacity  ramping capability  load following  short-term fluctuation
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