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A new method for smoothing output power fluctuations of PV system connected to small power utility

机译:一种平滑PV系统输出功率波动的新方法,其连接小功耗

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A Photovoltaic (PV) system’s power output is not constant and fluctuates depending on weather conditions. Fluctuating power causes frequency deviations in the power utilities when PV power penetration is large. Using a battery is one feasible measure to stabilize a PV system’s power output, but it requires additional costs and results in additional waste of used batteries. In this paper, to overcome these problems, we propose a new method for leveling the fluctuations in a PV system’s power output. By means of the proposed method, output power control of PV system considering the conditions of power utilities becomes possible and the conflicting objective of output power leveling and maximizing energy capture are achieved. Here, fuzzy reasoning is used to generate the output leveling power command. This fuzzy reasoning has three inputs of average insolation, variance of insolation, and absolute average of frequency deviation. Power converter is used to achieve output power same as command power employing PI control law. The proposed method is compared with the method where extracted maximum power is given to the utility without leveling. The simulation results show that proposed method is effective for leveling output fluctuations and feasible to reduce the frequency deviation of the small power utility.
机译:光伏(PV)系统的电源输出不是恒定的并且根据天气条件而波动。当PV功率渗透大时,波动功率导致电源实用程序中的频率偏差。使用电池是一种可行的尺寸,可以稳定光伏系统的功率输出,但它需要额外的成本并导致额外的用电池浪费。在本文中,为了克服这些问题,我们提出了一种利用PV系统功率输出中波动的新方法。借助于所提出的方法,考虑到电力实用程序条件的PV系统的输出功率控制成为可能,并且实现了输出功率升级和最大化能量捕获的冲突目标。这里,模糊推理用于生成输出调平功率命令。这种模糊推理有三个平均呈现,缺失方差的输入,频率偏差的绝对平均值。功率转换器用于实现与采用PI控制法的命令功率相同的输出功率。将所提出的方法与在没有升级的情况下提取的最大功率的方法进行比较。仿真结果表明,提出的方法对于降低输出波动和可行性来减少小型电力公用事业的频率偏差是有效的。

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