李涵深, 鲁宇, 刘文霞. 考虑短时波动的分布式光伏逆变器鲁棒集中−就地控制策略[J]. 现代电力, 2024, 41(1): 191-200. DOI: 10.19725/j.cnki.1007-2322.2022.0294
引用本文: 李涵深, 鲁宇, 刘文霞. 考虑短时波动的分布式光伏逆变器鲁棒集中−就地控制策略[J]. 现代电力, 2024, 41(1): 191-200. DOI: 10.19725/j.cnki.1007-2322.2022.0294
LI Hanshen, LU Yu, LIU Wenxia. Robust Centralized-local Control Strategy of Distributed Photovoltaic Inverter Considering Short-time Fluctuation[J]. Modern Electric Power, 2024, 41(1): 191-200. DOI: 10.19725/j.cnki.1007-2322.2022.0294
Citation: LI Hanshen, LU Yu, LIU Wenxia. Robust Centralized-local Control Strategy of Distributed Photovoltaic Inverter Considering Short-time Fluctuation[J]. Modern Electric Power, 2024, 41(1): 191-200. DOI: 10.19725/j.cnki.1007-2322.2022.0294

考虑短时波动的分布式光伏逆变器鲁棒集中−就地控制策略

Robust Centralized-local Control Strategy of Distributed Photovoltaic Inverter Considering Short-time Fluctuation

  • 摘要: 针对光伏逆变器集中控制对源、荷短时波动考虑不足的问题,提出一种鲁棒集中–就地控制策略。首先,以网损和弃光量加权最小为目标,建立逆变器有功、无功集中控制模型;针对控制间隔内短时波动导致的电压越限和潮流波动,以集中控制结果为参考,通过动态参数就地控制策略平抑波动,提出无功出力–有功削减–斜率参数的三参数集中–就地控制模型。其次,采用区间模型建模短时波动,以极端波动场景的电压偏差最小为目标,建立就地控制策略鲁棒优化模型。最后,基于二阶锥规划和灵敏度分析,提出控制策略的求解方法,通过算例验证模型的有效性,并分析波动性、渗透率、逆变器容量对控制的影响,提升主动配电系统的运行安全性和经济性。

     

    Abstract: In allusion to the problem that the centralized control of photovoltaic inverter takes into account the short-term fluctuations of source and load deficiently, a robust centralized-local control strategy was proposed. Firstly, taking minimizing network loss and light rejection as an object, centralized active and reactive power control model was established; In view of the voltage out of limit and power flow fluctuation caused by the short-term fluctuation in the control interval, a three parameter centralized-local control model of reactive power output-active power reduction-slope parameter was proposed based on the centralized control results. Secondly, the interval model was used to model short-term fluctuations, and the robust optimization model of local control strategy was established to minimize the voltage deviation in extreme fluctuation scenarios. Finally, solution method of control strategy based on second-order cone programming and sensitivity analysis was proposed. The validity of proposed model was verified by a numerical example, and the influence of fluctuation, permeability and inverter capacity on the control was analyzed to improve the operation safety and economy of the active distribution system.

     

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