DocumentCode :
720725
Title :
Power management strategy for renewable hybrid stand-alone power system
Author :
Dahmane, M. ; Bosche, J. ; El-Hajjaji, A.
Author_Institution :
MIS Lab., Univ. of Picardie Jules Verne, Amiens, France
fYear :
2015
fDate :
28-30 April 2015
Firstpage :
247
Lastpage :
254
Abstract :
Hybrid systems of energy production are considered as an interesting alternative for power supply of remote area and non connected sites. Indeed, this paper is focused on the design of an intelligent algorithm and optimized strategy for power management of a renewable hybrid system. This system which includes wind generator (WG), photovoltaic panel (PV), battery storage (BS) and diesel engine (DE) aims to ensure power supply of an individual isolated house. Indeed, the proposed optimal power management strategy aims to regulate the power flow between the energy sources and the battery storage in order to ensure permanent energy supply of the load. The chosen strategy considers the WG and the PV as the main energy sources and the battery bank as storage system. The DE is considered as an additional source, so it is used like power source emergency. In order to validate the proposed strategy under real conditions; measurements of real weather conditions and power consumption of an individual house are considered. Simulation results are highlighted to demonstrate the feasibility of our proposed approach.
Keywords :
battery storage plants; diesel engines; hybrid power systems; load flow; photovoltaic power systems; power system management; renewable energy sources; wind power plants; battery bank; battery storage; diesel engine; energy production; energy sources; intelligent algorithm; optimal power management strategy; optimized strategy; permanent energy supply; photovoltaic panel; power flow; power source emergency; power supply; real weather conditions; remote area; renewable hybrid stand-alone power system; storage system; wind generator; Algorithm design and analysis; Batteries; Hybrid power systems; Mathematical model; Photovoltaic systems; Wind;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems and Control (ICSC), 2015 4th International Conference on
Conference_Location :
Sousse
Print_ISBN :
978-1-4673-7108-7
Type :
conf
DOI :
10.1109/ICoSC.2015.7153275
Filename :
7153275
Link To Document :
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