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Sensorless Integral Sliding Mode Control of Single-Phase Grid-Connected PV System

机译：单相网连接光伏系统的无传感器整体滑动模式控制

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This paper presents a grid-connected photovoltaic (PV) system. The conversion scheme consists of a three-level boost converter (TLBC), a half-bridge inverter (HBI), and an LCL filter to adapt the PV energy and inject it into the grid with low total harmonic distortion (THD) and unity power factor (PF). This study aims to achieve four main objectives: i) Ensure maximum available PV power with high robustness against environmental variations, ii) Guarantee PF correction (PFC) where the output current must have a sinusoidal waveform in phase with the grid voltage, iii) Regulate the DC link voltage to follow a defined reference, iv) Ensure balance between TLBC output voltages. To achieve the mentioned objectives, a nonlinear controller based on the integral sliding mode approach (ISM) is developed. In addition, a Kalman observer is designed to estimate the PV voltage and current in order to reduce the number of physical sensors and thus the cost and space of the studied system. Then, based on the PV current and voltage estimated by the designed observer, a sensorless maximum power point tracker (MPPT) based on the INC & COND algorithm is implemented to extract the maximum PV power despite changing weather conditions. Simulation results were performed in the Matlab/Simulink/SimPowerSystems environment to evaluate the proposed control strategy and observer. These results demonstrate that the proposed controller and observer achieve the set objectives under standard and changing climate conditions.
机译：本文介绍了一个电网连接的光伏（PV）系统。转换方案由三级升压转换器（TLBC），半桥逆变器（HBI）和LCL滤波器组成，以使PV能量适应，并以低总谐波失真（THD）和Unity Power将其注入网格中因子（PF）。本研究旨在实现四个主要目标：i）确保具有高稳健性的最大可用光伏电源，II）保证PF校正（PFC），输出电流必须与网格电压，iii）调节相位的正弦波形。 DC链路电压遵循定义的参考，IV）确保TLBC输出电压之间的平衡。为了实现提到的目的，开发了基于整体滑动模式方法（ISM）的非线性控制器。此外，卡尔曼观察者设计用于估计光伏电压和电流，以减少物理传感器的数量，从而减少研究的系统的成本和空间。然后，基于由设计的观察者估计的PV电流和电压，基于INC＆amp的无传感器最大功率点跟踪器（MPPT）; COND算法实施以提取最大PV电源，尽管天气变化。仿真结果是在Matlab / Simulink / SimPowersystems环境中进行的，以评估所提出的控制策略和观察者。这些结果表明，所提出的控制器和观察者在标准和变化的气候条件下实现了设定的目标。

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