FPGA implementation of a real-time model predictive controller for hybrid power systems

2017 ◽  
Author(s):  
Sayed Ata Raziei ◽  
Zhenhua Jiang
Keyword(s):  
Power Systems ◽  
Real Time ◽  
Fpga Implementation ◽  
Hybrid Power Systems ◽  
Time Model ◽  
Model Predictive Controller ◽  
Hybrid Power ◽  
Predictive Controller

scholarly journals Experimental Comparison of Three Real-Time Optimization Strategies Applied to Renewable/ FC-Based Hybrid Power Systems Based on Load-Following Control

Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3537 ◽  
Author(s):  
Nicu Bizon ◽  
Mihai Oproescu
Keyword(s):  
Power Systems ◽  
Real Time ◽  
Fuel Consumption ◽  
Fuel Economy ◽  
Experimental Comparison ◽  
Hybrid Power Systems ◽  
Hybrid Power ◽  
Load Following ◽  
Time Optimization ◽  
Real Time Optimization

Besides three different real-time optimization strategies analyzed for the Renewable/ Fuel Cell Hybrid Power Systems (REW/FC-HPS) based on load-following (LFW) control, a short but critical assessment of the Real-Time Optimization (RTO) strategies is presented in this paper. The advantage of power flow balance on the DC bus through the FC net power generated using the LFW control instead of using the batteries’ stack is highlighted in this study. As LFW control consequence, the battery operates in charge-sustained mode and many advantages can be exploited in practice such as: reducing the size of the battery and maintenance cost, canceling the monitoring condition of the battery state-of-charge etc. The optimization of three FC-HPSs topologies based on appropriate RTO strategy is performed here using indicators such as fuel economy, fuel consumption efficiency, and FC electrical efficiency. The challenging task to optimize operation of the FC-HPS under unknown profile of the load demand is approached using an optimization function based on linear mix of the FC net power and the fuel consumption through the weighting coefficients knet and kfuel. If optimum values are chosen, then a RTO switching strategy can improve even further the fuel economy over the entire range of load.

Impact of forecasting error characteristics on battery sizing in hybrid power systems

2021 ◽  
Vol 39 ◽  
pp. 102567
Author(s):  
Yuqing Yang ◽  
Stephen Bremner ◽  
Chris Menictas ◽  
Merlinde Kay
Keyword(s):  
Power Systems ◽  
Hybrid Power Systems ◽  
Hybrid Power ◽  
Error Characteristics ◽  
Forecasting Error

Source diagram: A new approach for hybrid power systems design

2021 ◽  
Vol 47 ◽  
pp. 101429
Author(s):  
Ana Carolina de Lira Quaresma ◽  
Flávio S. Francisco ◽  
Fernando L.P. Pessoa ◽  
Eduardo M. Queiroz
Keyword(s):  
Power Systems ◽  
Systems Design ◽  
Hybrid Power Systems ◽  
New Approach ◽  
Hybrid Power
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