This paper presents a fast power-setpoint tracking algorithm to enable utility-scale photovoltaic (PV) systems to provide high quality grid services such as power reserves and fast frequency response. The algorithm unites maximum power-point estimation (MPPE) with flexible power-point tracking (FPPT) control to improve the performance of both algorithms, achieving fast and accurate PV power-setpoint tracking even under rapid solar irradiance changes. The MPPE is developed using a real-time, nonlinear curve-fitting approach based on the Levenberg-Marquardt algorithm. A modified adaptive FPPT based on the Perturb and Observe technique is developed for the power-setpoint tracking. By using MPPE to decouple the impact of irradiance changes on the measured PV output power, we develop a fast convergence technique for tracking power-reference changes within three FPPT iterations. Furthermore, to limit the maximum output power ripple, a new design is introduced for the steady-state voltage step size of the adaptive FPPT. The proposed algorithm is implemented on a testbed consisting of a 500 kVA three-phase, single-stage, utility-scale PV system on the OPAL-RT eMEGASIM platform. Results show that the proposed method outperforms the state-of-the-art.

中文翻译：

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具有功率储备和快速频率响应功能的公用事业规模光伏系统的统一功率设定点跟踪算法


本文提出了一种快速功率设定点跟踪算法，使公用事业规模的光伏（PV）系统能够提供高质量的电网服务，例如电力储备和快速频率响应。该算法将最大功率点估计（MPPE）与灵活的功率点跟踪（FPPT）控制相结合，以提高两种算法的性能，即使在太阳辐照度快速变化的情况下也能实现快速准确的光伏功率设定点跟踪。 MPPE 是使用基于 Levenberg-Marquardt 算法的实时非线性曲线拟合方法开发的。开发了一种基于扰动和观察技术的改进自适应 FPPT，用于功率设定点跟踪。通过使用 MPPE 来解耦辐照度变化对测量的 PV 输出功率的影响，我们开发了一种快速收敛技术，用于跟踪三个 FPPT 迭代内的功率参考变化。此外，为了限制最大输出功率纹波，自适应FPPT的稳态电压步长引入了新的设计。所提出的算法在由 OPAL-RT eMEGASIM 平台上的 500 kVA 三相单级公用事业规模光伏系统组成的测试台上实施。结果表明，所提出的方法优于最先进的方法。