Optimized rule-based energy management for a polymer electrolyte membrane fuel cell/battery hybrid power system using a genetic algorithm

2022 ◽  
Author(s):  
Hai-Bo Yuan ◽  
Wen-Jiang Zou ◽  
Seunghun Jung ◽  
Young-Bae Kim
Keyword(s):  
Genetic Algorithm ◽  
Fuel Cell ◽  
Power System ◽  
Polymer Electrolyte ◽  
Energy Management ◽  
Polymer Electrolyte Membrane ◽  
Rule Based ◽  
Hybrid Power System ◽  
Electrolyte Membrane ◽  
Hybrid Power

A Multi-Agent Control for Energy Management in PV/Wind/Fuel Cell/Battery Hybrid Power System

2014 ◽  
Vol 573 ◽  
pp. 235-241
Author(s):  
T. Bogaraj ◽  
J. Kanakaraj ◽  
C. Maria Jenisha
Keyword(s):  
Renewable Energy ◽  
Fuel Cell ◽  
Power System ◽  
Energy Management ◽  
Renewable Energy Sources ◽  
Multi Agent System ◽  
Agent System ◽  
Hybrid Power System ◽  
Hybrid Power ◽  
Multi Agent

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.

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