This paper studied the economic dispatching of a small-scale microgrid which contains the wind turbine (WT), photovoltaic cell (PV), microturbine (MT), diesel engine (DE), fuel cells (FC)
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This article proposes a novel scalable fuzzy voltage control scheme for nonlinear direct current microgrids (DCmGs) composed of DGUs and constant power loads (CPLs) interconnected via power
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Abstract: This article presents the fuzzy-based charging-discharging control technique of lithium-ion battery storage in microgrid application. Considering available power, load demand, and
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Abstract The increasing penetration of renewable energy sources (RES) in microgrids introduces complex stability challenges due to their intermittent and nonlinear behavior. This paper
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Therefore, this study introduces a novel Deep-Fuzzy Logic Control (Deep-FLC) framework that combines the predictive power of LSTM models
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In this paper, a multi-input singe-output (MISO) fuzzy neural network controller is proposed for controlling frequency and managing power distribution. The fuzzy neural network
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This paper presents an advanced frequency control solution for multi-microgrid systems (MMGS) with high renewable energy penetration,
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Microgrid (MG) is effective to absorb the distributed renewable energy source (RES). Considering the uncertainty of RES and load, this paper proposes a fuzzy rule of energy storage
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A sophisticated energy management approach that achieves long-term optimization under operating uncertainties is imperative. In this paper, a two-stage IES real-time dispatching method
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