Optimal model predictive control for LFC of multi-interconnected plants comprising renewable energy sources based on recent sooty terns approach

2020 ◽  
Vol 42 ◽  
pp. 100844
Author(s):  
Hossam Hassan Ali ◽  
Ahmed Fathy ◽  
Ahmed M. Kassem
Keyword(s):  
Renewable Energy ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Optimal Model

scholarly journals Fuzzy Model Predictive Control for Grid Tied Inverter with Multiport Renewable Energy Systems

2019 ◽  
Vol 8 (11) ◽  
pp. 3044-3049
Keyword(s):  
Renewable Energy ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Renewable Energy Sources ◽  
Harmonic Distortion ◽  
Fuzzy Model ◽  
Two Phase ◽  
Grid Voltage ◽  
Three Phase ◽  
Control Schemes

The paper presence a Fuzzy Model Predictive Control (FMPC) for grid tied inverter with multiport DC-DC converter. Three phase grid tied inverter with multiple renewable energy sources are widely used to connect the distributive generating systems to the utility grid. Compare with the conventional control schemes, FMPC scheme is suitable for distributed generation system for its unique advantages likes reliable, fast and more accurate. In this proposed system, different sources having nonlinear parameters and it’s controlled by Fuzzy system. All linear states of three phase grid connected inverters are tested to attain the control objectives. FMPC is proposed to reduce the Total Harmonic Distortion (THD) of the output power. In the proposed system, the inverter control algorithm is developed using some essential vectors. The aim is to monitor the three phase grid current stability and improve the constancy function of the grid-tied inverter during variation of grid voltage. The grid tied converter is designed in two phase standing vector (αβ)model, and the FMPC of grid tied inverter is realized during variation of grid voltage. The simulation results show the superiority of the FMPC in control strategy

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