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Algorithm to control power production from solar photovoltaic panels

机译:控制太阳能光伏板发电的算法

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End consumer of energy is getting more cautious of their environmental footprint and with the cost of renewable energy sources like photo-voltaic solar progressively declining, it is expected that the percentage contribution from these new and renewable sources in overall power generation will increase. However, the renewable energy sources carry their own set of drawbacks which is slowing their widespread acceptance. First and foremost is the variability in generation, then controlling the power output from solar is also not trivial since the generation is highly dependent on the external factors such as solar irradiance. Furthermore, there is a mismatch between the demand profile from the consumer and the supply profile of solar. This increased integration of renewable sources in the present grid creates a set of problems such as over voltage, power back flow and instability. In this paper we propose a curtailment based solution to the problem of over production. We provide an algorithm which controls the power output from solar panels. It delivers maximum possible power during the times of low irradiance and curtails the power output during the times of peak generation. With real-data on solar panel output across multiple prosumers, we are able to demonstrate the effectiveness of the proposed algorithm.
机译:能源的最终用户对环境足迹越来越谨慎,并且随着光伏太阳能等可再生能源成本的不断下降,预计这些新能源和可再生能源在整体发电中所占的百分比将会增加。然而,可再生能源具有其自身的缺点,这减慢了其广泛接受的速度。首先是发电的可变性,然后控制太阳能的输出功率也不是一件容易的事,因为发电高度依赖于外部因素,例如太阳辐照度。此外,来自消费者的需求状况和太阳能的供应状况之间不匹配。当前电网中可再生资源的这种增加的集成产生了一系列问题,例如过电压,电源回流和不稳定。在本文中,我们针对生产过剩问题提出了一种基于缩减的解决方案。我们提供了一种算法,用于控制太阳能电池板的功率输出。它在低辐照度时提供最大可能的功率,并在产生峰值时降低功率输出。利用跨多个生产者的太阳能电池板输出的真实数据,我们能够证明所提出算法的有效性。

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