Use of "Intelligent Control‟ and "Optimization‟ in Micro-grid System

Soumyendu Bhattacharjee, Madhabi Ganguly, Saptadipa Das, Devmalya Banerjee, Jinia Datta
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Abstract

The use of non-renewable energy is decreasing day by day or in an exponential way to save our earth. Thus, research related to the renewable energy is increasing rapidly. In case of micro-grid, 'EED' mechanism fails to generate high efficiency or is unable to predict the external noise coming into the system. As an alternative, in this research work we proposed a 'Model predictive Controller' using 'Intelligent Control Analogy' that helps to track the output of the micro-grid system. Not only that, both the variability and unpredictability of the renewable energy source can be controlled using the above proposed method. In this scheme, the data are taken from the load and output of the solar energy. Then, using optimizing technique, it has been optimized subjected to the different constraint.
“智能控制”与“优化”在微电网系统中的应用
为了拯救我们的地球,不可再生能源的使用正在日益减少或以指数方式减少。因此,与可再生能源相关的研究正在迅速增加。在微电网的情况下,“EED”机制不能产生高效率或无法预测进入系统的外部噪声。作为替代方案,在这项研究工作中,我们提出了一种“模型预测控制器”,使用“智能控制类比”来帮助跟踪微电网系统的输出。不仅如此,可再生能源的可变性和不可预测性都可以通过上述方法进行控制。在该方案中,数据取自太阳能的负荷和输出。然后利用优化技术,在不同约束条件下对其进行优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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