scholarly journals Energy Efficiency and Fuel Economy of a Fuel Cell/Renewable Energy Sources Hybrid Power System with the Load-Following Control of the Fueling Regulators

Mathematics ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 151 ◽  
Author(s):  
Nicu Bizon ◽  
Phatiphat Thounthong

Two Hybrid Power System (HPS) topologies are proposed in this paper based on the Renewable Energy Sources (RESs) and a Fuel Cell (FC) system-based backup energy source. Photovoltaic arrays and wind turbines are modeled as RESs power flow. Hydrogen and air needed for FC stack to generate the power requested by the load are achieved through the Load-Following control loop. This control loop will regulate the fueling flow rate to load level. A real-time optimization strategy for RES/FC HPS based on Extremum Seeking Control will find the Maximum Efficiency Point or best fuel economy point by control of the boost converter. Therefore, two HPS configurations and associated strategies based on Load-Following and optimization loops of the fueling regulators were studied here and compared using the following performance indicators: the FC net power generated on the DC bus, the FC energy efficiency, the fuel consumption efficiency, and the total fuel consumption. An increase in the FC system’s electrical efficiency and fuel economy of up to 2% and 12% respectively has been obtained using the proposed optimization strategies compared with a baseline strategy.

Energies ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 6111
Author(s):  
Nicu Bizon ◽  
Mircea Raceanu ◽  
Emmanouel Koudoumas ◽  
Adriana Marinoiu ◽  
Emmanuel Karapidakis ◽  
...  

In this paper, the optimal and safe operation of a hybrid power system based on a fuel cell system and renewable energy sources is analyzed. The needed DC power resulting from the power flow balance on the DC bus is ensured by the FC system via the air regulator or the fuel regulator controlled by the power-tracking control reference or both regulators using a switched mode of the above-mentioned reference. The optimal operation of a fuel cell system is ensured by a search for the maximum of multicriteria-based optimization functions focused on fuel economy under perturbation, such as variable renewable energy and dynamic load on the DC bus. Two search controllers based on the global extremum seeking scheme are involved in this search via the remaining fueling regulator and the boost DC–DC converter. Thus, the fuel economy strategies based on the control of the air regulator and the fuel regulator, respectively, on the control of both fueling regulators are analyzed in this study. The fuel savings compared to fuel consumed using the static feed-forward control are 6.63%, 4.36% and 13.72%, respectively, under dynamic load but without renewable power. With renewable power, the needed fuel cell power on the DC bus is lower, so the fuel cell system operates more efficiently. These percentages are increased to 7.28%, 4.94% and 14.97%.


2012 ◽  
Vol 3 (4) ◽  
pp. 2174-2187 ◽  
Author(s):  
Y. Jaganmohan Reddy ◽  
Y. V. Pavan Kumar ◽  
K. Padma Raju ◽  
Anilkumar Ramsesh

2014 ◽  
Vol 573 ◽  
pp. 235-241
Author(s):  
T. Bogaraj ◽  
J. Kanakaraj ◽  
C. Maria Jenisha

The usage of renewable energy systems increases worldwide due to extinction of conventional sources and also the absence of some serious environmental effects such as global warming, ozone layer depletion etc. These renewable power systems are not able to satisfy the load continuously due to seasonal availability of the resources. A Hybrid Power System (HPS) formed with renewable energy sources are a solution to provide power for stand-alone electrical loads. However, the energy management in HPS is quite complex as it relies on a central controller. This paper proposes a distributed Energy Management System (EMS) to control the energy flow in the PV/Wind/Fuel Cell/Battery HPS based on multi-agent system (MAS) technology. With this concept, a HPS is seen as a collection of different elements called agents, collaborates to reach a global coordination to satisfy the demand in the system. The Algorithm of the Multi-Agent System technique for HPS has been implemented using MATLAB/Simulink environment. The results show that the algorithm is effectively working for a HPS to provide power to the load and control power flow between various elements of the system.


2018 ◽  
Vol 7 (7) ◽  
pp. 19-25
Author(s):  
Boris M. ANTONOV ◽  
◽  
Nikolai N. BARANOV ◽  
Konstantin V. KRYUKOV ◽  
Yurii K. ROZANOV ROZANOV ◽  
...  

2019 ◽  
Vol 68 (3) ◽  
pp. 133-146
Author(s):  
Stanisław Duer

The article presents the problem of building a diagnostic base of knowledge for a hybrid power system for the needs of the organization of the diagnosis process. The basis for obtaining the diagnostic in-formation, regarding devices of the hybrid power system, is functional and diagnostic analysis of the tested object. The effect of the diagnostic development’s process is a model of functional and diagnostic structure, determined sets of basic elements, and diagnostic signals along with assigned standard signals. Keywords: technical diagnostics, diagnostic reasoning, multivalent logic, artificial intelligence


Sign in / Sign up

Export Citation Format

Share Document