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[IEEE 2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) - Singapore (2018.5.22-2018.5.25)] 2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) - Solar Plant Integration to Utility Grid with Improved Power Quality by using RNN-Hebbian-LMS Current Controller
摘要： In this paper a new topology of current control technique is proposed, to transfer the improved quality of power produced from the solar plant to the utility grid. Also, a high-gain high-efficient converter driving with Kalman MPPT is used to boost the low voltage levels of the PV array. The proposed control uses recurrent neural network RNN-Hebbian -LMS based current controller to achieve the better performance in terms of power quality. The RNN network uses feedback signals to control the current flow from solar plant to the utility grid. The Hebbian - LMS (least mean square) algorithm is used to update the weights of the RNN based current controller. The main advantage of the RNN-Hebbian-LMS current control technique is to maintain the constant voltage. Besides, it also provides system stability over wide range of parameter variations and damp out the oscillations quickly. The proposed algorithm is able to overcome the stability and sensitivity problems incurred with the conventional PI current controller. The simulation results will be compared with the conventional PI and proposed RNN-Hebbiab-LMS current controllers. Finally, the proposed current controller shows the improved power quality, quick settling time and more stable comparing with the conventional controllers.
关键词： Least Mean Square (LMS),Utility Grid,Solar Plant,High-Gain converter,PV array,Maximum Power Point Tracking (MPPT),Recurrent Neural Network (RNN)
更新于2025-09-23 15:21:21
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ANFIS Based Voltage Determination for Photovoltaic Systems According to the Specific Cell Parameters, and a Simulation for the Non-Isolated High Gain DCa??DC Boost Converter Control Regard to Voltage Fluctuations
摘要： In this study, a solar panel is modeled and parametric simulation studies are performed with Ansys-Electronics 2019 R2 software according to atmospheric and temperature coefficient parameters that affect the efficiency of electrical energy produced in photovoltaic (PV) systems. Based on parametric simulation studies, 482 data of the voltage value of the electrical energy produced were obtained. Then a certain part of this data was used for training in Adaptive Network Fuzzy Inference System (ANFIS) algorithms and the system was tested with the estimated values produced. Thus, in the generation of solar and electrical energy, the duty ratio controller performance designed with an uninsulated DC–DC converter circuit proposed to generate a 400 V constant value DC bus voltage at the output due to voltage changes at the input is reported.
关键词： Non-Isolated High Gain converter,photovoltaic (PV) systems,parametric simulation,Adaptive Network Fuzzy Inference System (ANFIS)
更新于2025-09-23 15:19:57