梅书凡, 檀勤良, 代美. 考虑风光出力季节性波动的储能容量配置[J]. 电力工程技术, 2022, 41(4): 51-57. DOI: 10.12158/j.2096-3203.2022.04.007
引用本文: 梅书凡, 檀勤良, 代美. 考虑风光出力季节性波动的储能容量配置[J]. 电力工程技术, 2022, 41(4): 51-57. DOI: 10.12158/j.2096-3203.2022.04.007
MEI Shufan, TAN Qinliang, DAI Mei. Energy storage capacity configuration considering seasonal fluctuation of wind and photovoltaic output[J]. Electric Power Engineering Technology, 2022, 41(4): 51-57. DOI: 10.12158/j.2096-3203.2022.04.007
Citation: MEI Shufan, TAN Qinliang, DAI Mei. Energy storage capacity configuration considering seasonal fluctuation of wind and photovoltaic output[J]. Electric Power Engineering Technology, 2022, 41(4): 51-57. DOI: 10.12158/j.2096-3203.2022.04.007

考虑风光出力季节性波动的储能容量配置

Energy storage capacity configuration considering seasonal fluctuation of wind and photovoltaic output

  • 摘要: 通过配置储能可解决高比例可再生能源并网时的弃电和功率波动问题,但现阶段储能成本较高,难以大规模推广应用,且现有研究在进行储能规划时,多聚焦于单一季节下的储能最优容量,忽略了风电、光伏出力季节性波动对储能规模的影响。为解决上述问题,文中提出一种考虑可再生能源出力和负荷需求季节性波动的储能优化配置方法。采用等效循环次数核算储能投资运行成本,并利用期望持续放电时间处理容量和功率的相关性,从储能全生命周期收益和风光综合利用率角度对储能的容量和功率进行配置。仿真结果表明,与追求储能收益最大化或采用单一典型日进行储能配置相比,文中所提方法不仅可保障储能经济性,还可进一步提升可再生能源利用率。

     

    Abstract: The problem of power abandonment and fluctuation with a high proportion of renewable energy connected to the grid can be solved by configuring energy storage. However, the cost of energy storage currently is high and it is difficult to promote and apply on a large scale. In addition, existing research focuses on planning for energy storage. The optimal capacity of energy storage in a single season ignores the impact of seasonal fluctuation in wind power and photovoltaic output on the scale of energy storage. In order to solve the above problems, an optimal allocation method for energy storage considering seasonal fluctuation of renewable energy output and load demand is proposed. The investment and operation cost of energy storage is calculated by the equivalent number of cycles. And the expected continuous discharge time is used to deal with the correlation of capacity and power. The capacity and power of energy storage are configured from the perspective of the full life cycle benefits of energy storage and the comprehensive utilization rate of wind and photovoltaic. The simulation results show that, compared with the pursuit of maximizing energy storage revenue or using a single typical day for energy storage configuration, the method proposed can not only ensure the economy of energy storage, but also further improve the utilization rate of renewable energy.

     

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