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Design of a Gain Scheduling Photovoltaic Energy Conversion System

机译:增益调度光伏能量转换系统的设计

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In this paper, a gain scheduling perturbation and observation (P&O) algorithm is proposed to realize the dynamic and rapid maximum power point tracking (MPPT) for a grid-connected photovoltaic energy conversion system (PECS). The hardware implementation of the PECS consists of a 1.5kW (at 500V) monocrystalline silicon photovoltaic (PV) array and a voltage-sourced inverter (VSI) whereby an IGBT-based intelligent power module is applied. In order to reach MPPT, the reference dc-link voltage of the VSI is generated by a command generator based on conventional P&O algorithm. To further improve the performance of the PECS under various daylight irradiations, the control gains for command generator are scheduled according to the gradient of electrical characteristic of the PV array exposed to a daylight irradiation. In contrast to the use of the MPPT algorithm in electrical power conversion, the reactive power compensation is also feasible to improve the power factor for the grid utility under low irradiation and thus increases the facility utilization significantly. The experimental results show that the proposed PECS with gain scheduling P&O algorithm is capable of tracking maximum power point and compensating the reactive power for the grid utility.
机译:在本文中,提出了增益调度扰动和观察(P&O)算法,以实现网格连接光伏能量转换系统(PEC)的动态和快速最大功率点跟踪(MPPT)。 PEC的硬件实现包括1.5kW(以500V)单晶硅光伏(PV)阵列和电压源逆变器(VSI),由此应用IGBT的智能电源模块。为了达到MPPT,基于传统P&O算法的命令发生器产生VSI的参考DC链路电压。为了进一步提高PEC在各种日光照射下的性能下,指挥发生器的控制增益根据暴露于日光照射的光伏阵列的电特性的梯度来调度。与MPPT算法在电力转换中的使用相反,无功功率补偿也是可行的,可以在低辐射下改善电网用途的功率因数,从而显着提高了设施利用率。实验结果表明,具有增益调度P&O算法的提出的PEC能够跟踪最大功率点并补偿电网实用程序的无功功率。

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