The full utilization of solar energy is of great significance in reducing carbon emissions and alleviating environmental problems. Fast frequency regulation plays an important role in the power system with grid-connected two-stage photovoltaic (PV) plants. The presented fast frequency regulation method is composed of droop control, virtual inertia control and de-loading control. This work focuses on improving droop control and virtual inertia control for PV plants connected to grid. Due to non-Gaussian disturbance induced by solar irradiance, an adaptive control strategy is proposed by minimizing an improved performance index which combines the mean square error (MSE) and the minimum error entropy (MEE) criteria. Based on the collected frequency deviation series data, the entropy of the frequency deviation is estimated with the aid of a quantizer. The droop control coefficient and inertia gain are then solved by an improved gravitational search algorithm (IGSA). Finally, the effectiveness of the proposed strategy is testified by an illustrative power system with a two-stage grid-connected PV plant.

中文翻译：

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两级光伏电站电力系统快速调频方法


充分利用太阳能对于减少碳排放、缓解环境问题具有重要意义。快速调频在并网两级光伏电站的电力系统中发挥着重要作用。提出的快速调频方法由下垂控制、虚拟惯量控制和减载控制组成。这项工作的重点是改进并网光伏电站的下垂控制和虚拟惯性控制。由于太阳辐照度引起的非高斯扰动，通过最小化结合均方误差（MSE）和最小误差熵（MEE）准则的改进性能指标，提出了一种自适应控制策略。基于收集的频率偏差序列数据，借助量化器来估计频率偏差的熵。然后通过改进的重力搜索算法（IGSA）求解下垂控制系数和惯性增益。最后，通过具有两级并网光伏电站的示例性电力系统证明了所提出策略的有效性。