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Microgrid is an important and necessary component of smart grid development. It is a small-scale power system with distributed energy resources. To realize the distributed generation potential, adopting a system where the associated loads and generation are considered as a subsystem or a microgrid is essential. In this article, a literature review is made on microgrid technology.The studies run on microgrid are classified in the two topics of feasibility and economic studies and control and optimization. The applications and types of microgrid are introduced first, and next, the objective of microgrid control is explained. Microgrid control is of the coordinated control and local control categories. The small signal stability and methods in improving it are discussed.The load frequency control in microgrids is assessed.

This paper presents a tracking control problem for fractional order multi‐agent systems in the presence of uncertainties. The study takes into account the problems of error constraints, saturated inputs and transient response suitability. Because of the existing challenges, a neural adaptive control approach is used in this study. Fractional order multi‐agent systems are investigated with uncertainty in the presence of error constraints. A controller is designed on the basis of adaptive control and dynamic surface control. As a result, the control objective of pursuing the desired output is achieved in the presence of required constraints. The effective performance of the proposed controller is demonstrated by simulation using MATLAB software.

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