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

• Published in: Energies (Basel) 2018-12, Vol.11 (12), p.3537
• Main Authors: Bizon, Nicu, Oproescu, Mihai
• Format: Article
• Language: English
• Subjects: Adaptive algorithms; Air flow; Algorithms; Alternative energy sources; Consumption; Control algorithms; control loops switching strategy; Control theory; Controllers; Converters; Electric vehicles; Electrical loads; Energy conversion efficiency; Energy efficiency; Energy management; Energy storage; Feedforward control; fuel cell system; Fuel cells; Fuel consumption; Fuel economy; Fuel systems; Fuel technology; Fuzzy logic; Fuzzy systems; Global optimization; hybrid power systems; International conferences; Loads (forces); Optimal control; Optimization; real-time optimization; Stability; Stoichiometry; Strategy; unknown load demand; Variation; Voltage converters (DC to DC)
• ISSN: 1996-1073; 1996-1073
• DOI: 10.3390/en11123537

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.