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

机译:一种平滑连接小功率光伏系统的输出功率波动的新方法

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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)系统的功率输出不是恒定的,并且会根据天气情况而波动。当PV功率穿透大时,功率波动会导致电力公司的频率偏差。使用电池是稳定光伏系统功率输出的一种可行措施,但它需要额外的成本,并且会导致废旧电池的浪费。在本文中,为了克服这些问题,我们提出了一种新的方法来均衡光伏系统功率输出的波动。通过提出的方法,可以实现考虑到电力公司条件的光伏系统的输出功率控制,达到了输出功率均衡和能量捕获最大化的矛盾目标。此处,模糊推理用于生成输出均衡功率命令。这种模糊推理有三个输入,分别是平均日照,日照方差和频率偏差的绝对平均值。功率转换器用于通过PI控制法获得与命令功率相同的输出功率。将所提出的方法与在不进行调平的情况下将提取的最大功率提供给公用事业的方法进行了比较。仿真结果表明,所提出的方法对于平抑输出波动是有效的,并且对于减小小电力公司的频率偏差是可行的。

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