冯春生, 杨秀媛, 陈小波. 考虑储能荷电状态平抑风电功率的抛物线规则变滤波时间常数方法[J]. 现代电力, 2020, 37(5): 518-525. DOI: 10.19725/j.cnki.1007-2322.2020.0133
引用本文: 冯春生, 杨秀媛, 陈小波. 考虑储能荷电状态平抑风电功率的抛物线规则变滤波时间常数方法[J]. 现代电力, 2020, 37(5): 518-525. DOI: 10.19725/j.cnki.1007-2322.2020.0133
FENG Chunsheng, YANG Xiuyuan, CHEN Xiaobo. Parabola Regular Variable Filtering Time Constant Method Considering Energy Storage SOC State to Smooth Wind Power[J]. Modern Electric Power, 2020, 37(5): 518-525. DOI: 10.19725/j.cnki.1007-2322.2020.0133
Citation: FENG Chunsheng, YANG Xiuyuan, CHEN Xiaobo. Parabola Regular Variable Filtering Time Constant Method Considering Energy Storage SOC State to Smooth Wind Power[J]. Modern Electric Power, 2020, 37(5): 518-525. DOI: 10.19725/j.cnki.1007-2322.2020.0133

考虑储能荷电状态平抑风电功率的抛物线规则变滤波时间常数方法

Parabola Regular Variable Filtering Time Constant Method Considering Energy Storage SOC State to Smooth Wind Power

  • 摘要: 利用电池储能系统平滑风电功率波动提高风力发电并网的可靠性,考虑储能系统荷电状态的调节问题,提出一种抛物线规则变滤波时间常数的电池储能系统平滑风电功率控制策略。通过抛物线规则变滤波时间常数算法获得风储系统有功功率并网目标值,经过变化率限制、荷电状态功率修正、功率限幅等环节获得电池储能系统实际出力,下达给储能变流器进行对电池的充放电动作,平滑风电功率,保证SOC维持在安全范围。通过MATLAB仿真验证该策略的可行性和有效性。。

     

    Abstract: It is feasible to enhance the grid-connecting reliability of wind power generation by smoothing the wind power fluctuation with the help of battery energy storage system. Considering the adjustment of state of charge (SOC) in energy storage system, a control strategy of smoothing wind power fluctuation based on parabola regular variable filtering time constant was proposed. Through parabola regular variable filtering time constant algorithm the target value of grid-connected active power of energy storage system was obtained, and through such links as restriction of change rate, correction SOC and power amplitude limiting the actual power output of battery energy storage system was determined and issued to stored energy converter to perform charging and discharging of the battery. Thus, the wind power fluctuation could be smoothed and the SOC could be maintained within the safe range. Simulation results show that the proposed control strategy is feasible and effective.

     

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