… control techniques are ill-suited to handle. We build a microgrid interface to simulate microgrids
under uncertainty … reinforcement learning algorithms to control microgrids. Our algorithms…

… significant source of uncertainty in the microgrid planning problem … The last major type of
uncertainty is the microgrid islanding. … operation of the microgrid under prevailing uncertainties. …

… to parametric uncertainties. Thus, in order to control a DC islanded microgrid with uncertainties
and … in terms of LMIs and solve it for the controller gains. Our goal is to develop a dynamic …

… the literature on microgrid energy scheduling in the presence of uncertainty and positions
this article contribution. Section III describes the detailed model of the system under study. The …

… Depending on the microgrid under analysis, the uncertain parameters to account for may
have different natures and require different representations. This section analyzes the current …

… are normally designed separately in a hierarchical architecture, with the real-time control in
… control scheme for DC MG clusters under uncertainty. In each MG, the tertiary level controller …

… The normal operation of microgrid under PV power uncertainties and load changes has
been investigated in Section IV-A. However, there may be sudden load fluctuations, such as the …

… This type of island microgrid generally has three … microgrid scheduling strategies. Therefore,
the development of efficient approaches for microgrid optimal operation under uncertainties …

… and control models for microgrids under uncertainty. This paper is enhancing … uncertainty
in microgrid’s scheduling and operation. The optimization model takes into account microgrid …

… From (33), the physical meaning of the general robust energy model is to find the worst-case
amount of RG and load with maximum exchange cost under the uncertain sets while getting …