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The microgrid (MG) is described as an electrical network of small modular distributed generation, energy storage devices and controllable loads. In order to maximize the output of solar arrays, maximum power point tracking (MPPT) technique is used by artificial neural network (ANN), and also, control of turbine output power in high wind speeds is proposed using pitch angle control technic by fuzzy...
This paper presents a hybrid technique for optimal power flow management and production cost minimization of microgrid (MG)‐connected system with renewable energy sources (RES). The hybrid technique is the joint execution of both the particle swarm optimization (PSO)–aided artificial neural network (ANN) and grasshopper optimization algorithm (GOA) named as GOAPSNN technique. The proposed technique...
The climate's dependence requires a complex modelling and other optimization methods for the control of the hybrid system. Moreover, recently, and as for both the technological progression of the hardware and software, researchers may more and more optimize problems through the use of enabled platforms. The paper aims to discuss this issue. Our hybrid pumping installation contains a photovoltaic generator,...
In this manuscript, an energy management system (EMS) is proposed to the distribution system (DS) using Internet of Things (IoT) framework with a hybrid system. The proposed hybrid method is the combination of the Seagull Optimization Algorithm (SOA) and Owl Search Algorithm (OSA), hence it is called SO2SA technique. The principle objective of the SO2SA technique is to optimize managing distribution...
This manuscript proposes a hybrid approach for non‐isolated quasi Z‐source (QZS)‐novel cascaded multilevel inverter (NIQZS‐NMLI)‐based grid‐connected photovoltaic (PV) system. The proposed hybrid approach is the combined execution of both the color harmony algorithm (CHA) and woodpecker‐mating algorithm (WMA), and hence it is called CHA‐WMA method. Initially, the NIQZS‐NMLI design is developed to...
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