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Interline fuel cell (I-FC) system with dual-functional control capability
(Pergamon-Elsevier Science Ltd, 2020)
In this paper, a new system concept is presented for the grid connection of fuel cells. In conventional grid-connected systems, fuel cells ensure the generated power into a single electrical feeder and control the ...
Zero-sequence current injection based power flow control strategy for grid inverter interfaced renewable energy systems
(Taylor & Francis, 2020)
This paper deals with an energy management issue for the grid-connected
renewable energy sources connected with unbalanced loads. In the gridconnected energy systems, conventional energy management methods are
used to ...
Performance enhancement of energy extraction capability for fuel cell implementations with improved Cuckoo search algorithm
(Pergamon-Elsevier Science, 2020)
This paper addresses an improved optimization method to enhance the energy extraction capability of fuel cell implementations. In this study, the proposed method called Dynamic Cuckoo Search Algorithm (DCSA) is tested in ...
Active/reactive energy control scheme for grid-connected fuel cell system with local inductive loads
(Pergamon-Elsevier Science, 2020)
In the grid interconnection of fuel cells, local reactive loads connected to the electrical systems generate reactive power which deteriorates the power factor in the utility-grids. This situation causes energy losses, ...
Overview of the next quarter century vision of hydrogen fuel cell electric vehicles
(Elsevier, 2019)
Last three decades, costumers and manufacturers of automotive sector have been influenced positively by Hydrogen and fuel cells (FCs). The main goal of automakers can be pointed as minimizing the fuel consumption and exhaust ...
Performance & emission analysis of HHO enriched dual-fuelled diesel engine with artificial neural network prediction approaches
(Elsevier, 2020)
Most of the studies on conventional fuel types that can be used in internal combustion engines have been made in order to improve performance values. Nowadays environmental problems have shown that emission values are more ...
Adaptive neuro-fuzzy inference system combined with genetic algorithm to improve power extraction capability in fuel cell applications
(Elsevier, 2021)
This study introduces an improved ANFIS based MPPT method to maximize the power extraction capability of the FC-connected system. The proposed method is tested in a stand-alone system that consists of an FC in the power ...
Output voltage control of double chambers microbial fuel cell using intelligence-based optimized adaptive neuro fuzzy inference controller
(Elsevier, 2022)
Microbial fuel cell (MFC) has become a very important biotechnological tool to produce clean energy in recent years. It is very important to adjust the output voltage and power density in order to obtain the desired energy ...
Design of intelligence-based optimized adaptive fuzzy PID controllers for a two chamber microbial fuel cell
(Wiley, 2022)
The output voltage of microbial fuel cells (MFCs) needs to be controlled effectively to improve the operating efficiency of MFC system against the load variations, disturbances, and uncertainties. The output voltage control ...
Analysis and modeling of wireless power transfer supported by quadratic boost converter interfaced fuel cell power source
(Wiley, 2022)
This study presents a novel wireless power transfer (WPT) system structure that transmits electrical energy from a fuel cell (FC) stack integrated with a quadratic boost converter (QBC). The main objective of the proposed ...
