Microgrid is a new era in the power system and it has more scope of investigation on research. Due to an increase in demand and future expansion of the power system, analyzing the complexities of the network becomes a challenging task. Artificial intelligence plays a vital role in resolving such issues in a microgrid in various aspects. Owing to the rapid growth of periodical update in computational cost reduction, enhanced data analysis‐based algorithm artificial intelligence enters into new epoch Artificial Intelligence AI 2.0. Based on such approach, machine learning has been evolved as AI 2.0 initially. Now, it develops branches like deep learning, reinforcement learning, and a combination of both deep reinforcement learning algorithms. These algorithms are precise to attain higher priority in decision‐making under a complex network. This paper deals with numerous challenges of the above algorithm to state the significance of AI 2.0 and summarization of their application toward microgrid is useful to analyze the power system.

中文翻译：

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微电网的深度学习和强化学习方法

微电网是电力系统的一个新时代，它的研究范围更大。由于需求增加和电力系统的未来扩展，分析网络的复杂性成为一项艰巨的任务。人工智能在解决微电网中各个方面的此类问题方面发挥着至关重要的作用。由于减少计算成本的定期更新的迅速发展，基于增强数据分析的算法人工智能进入了新的时代AI 2.0。基于这种方法，机器学习最初已演变为AI 2.0。现在，它开发了深度学习，强化学习以及这两种深度强化学习算法的组合等分支。这些算法非常精确，可以在复杂网络下的决策中获得更高的优先级。