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Power control strategy of an integrated PV system for active power reserve under dynamic operating conditions

机译:动态操作条件下有源电力储备集成光伏系统电源控制策略

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In recent years, the increase in the amount of photovoltaic penetration in the grid has caused a serious threat to the inertia of the power system. The situation has dictated to look for methods to enable the inertial capabilities in the PV systems. One of the most explored methods to enable this capability is to generate an active power reserve by deloading the PV. The deloading methods work well for constant operating conditions, but for dynamic conditions, the monitoring of MPP and tuning of the reserve become a challenging situation. In this paper, a novel deloading based power control strategy for dc/dc converter is proposed, in which, the MPP is monitored by an artificial neural network based estimator and reserve is adjusted using a fuzzy reserve controller. The suitability of the adopted reserve control approach is justified by comparing the proposed control with the mainstream reserve approaches. The working of the developed controls is validated by the help of simulations and experimental results.
机译:近年来,电网中光伏渗透量的增加导致对电力系统惯性的严重威胁。注意寻找能够在PV系统中实现惯性功能的方法。启用此功能的最探索方法之一是通过填充PV来生成有源电源储备。额外的方法适用于恒定的操作条件,但对于动态条件,监控MPP和储备调整成为一个具有挑战性的情况。本文提出了一种用于DC / DC转换器的新型电力控制策略,其中,通过使用模糊储备控制器调整了基于人工神经网络的估计器和储备来监视MPP的基于DC / DC转换器的电力控制策略。通过将拟议的控制与主流储备方法进行比较,采用储备控制方法的适用性是合理的。通过模拟和实验结果验证了发达的控制的工作。

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