Integrated predictive control and fault diagnosis algorithm for single inductor-based DC-DC converters for photovoltaic systems

Venkateswaran M.; Govindaraju C.; Santhosh T. K.

摘要

PurposePower converters are an integral part of the energy conversion process in solar photovoltaic (PV) systems which is used to match the solar PV generation with the load requirements. The increased penetration of renewable invokes intermittency in the generated power affecting the reliability and continuous energy supply of such converters. DC-DC converters deployed in solar PV systems impose stringent restrictions on supplied power, continuous operation and fault prediction scenarios by continuously observing state variables to ensure continuous operation of the converter.Design/methodology/approachA converter deployed for a mission-critical application has to ensure continuous regulated output for which the converter has to ensure fault-free operation. The fault diagnostic algorithm relies on the measurement of a state variable to assess the type of fault. In the same line, a predictive controller depends on the measurement of a state variable to predict the control variable of a converter system to regulate the converter output around a fixed or a variable reference. Consequently, both the fault diagnosis and the predictive control algorithms depend on the measurement of a state variable. Once measured, the available data can be used for both algorithms interchangeably.FindingsThe objective of this work is to integrate the fault diagnostic and the predictive control algorithms while sharing the measurement requirements of both these control algorithms. The integrated algorithms thus proposed could be applied to any converter with a single inductor in its energy buffer stage.Originality/valuelaboratory prototype is created to verify the feasibility of the integrated predictive control and fault diagnosis algorithm. As the proposed method combine the fault detection algorithm along with predictive control, a load step variation and manual fault creation methods are used to verify the feasibility of the converter as with the simulation analysis. The value for the capacitors and inductors were chosen based on the charge-second and volt-second balance equations obtained from the steady-state analysis of boost converter.

机译：Purpospower转换器是太阳能光伏（PV）系统中的能量转换过程的一体部分，用于将太阳能光伏生发电与负载要求匹配。可再生能力的渗透率提高，在产生这种转换器的可靠性和连续能量供应的产生功率中的间歇性。在Solar PV系统中部署的DC-DC转换器通过持续观察状态变量来确保转换器的连续运行，对任务关键申请部署的连续操作进行严格，以确保转换器的连续运行，对所提供的电源，连续操作和故障预测方案进行严格的限制。确保转换器必须确保无故障运行的连续调节输出。故障诊断算法依赖于测量状态变量以评估故障类型。在同一行中，预测控制器取决于状态变量的测量，以预测转换器系统的控制变量，以调节周围的转换器输出或可变参考。因此，故障诊断和预测控制算法都取决于状态变量的测量。一旦测量，可用数据可以用于两种算法互换。这项工作的目的是集成故障诊断和预测控制算法，同时共享这些控制算法的测量要求。如此提出的集成算法可以应用于其能量缓冲阶段中的单个电感器的任何转换器。创建了识别集成预测控制和故障诊断算法的可行性。由于所提出的方法将故障检测算法与预测控制结合，因此使用负载步骤变化和手动故障创建方法来验证转换器的可行性与模拟分析一样。基于从升压转换器的稳态分析获得的电荷 - 第二和伏第二平衡方程，选择电容器和电感器的值。

Integrated predictive control and fault diagnosis algorithm for single inductor-based DC-DC converters for photovoltaic systems

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