DocumentCode :
170042
Title :
Optimization of an off-grid hybrid power supply system based on battery aging models for different battery technologies
Author :
Merei, Ghada ; Magnor, Dirk ; Leuthold, Matthias ; Sauer, Dirk Uwe
Author_Institution :
Electrochem. Energy Conversion & Storage Syst. Group, RWTH Aachen Univ., Aachen, Germany
fYear :
2014
fDate :
Sept. 28 2014-Oct. 2 2014
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents an advanced simulation tool for optimizing an off-grid hybrid PV-wind-diesel system to supply the required electricity to a telecommunication base station. The suggested system investigates a combination of three different battery technologies: Lead-acid, Lithium-ion and Vanadium Redox-Flow batteries. An adequate strategy has been developed to control the energy flow among the system components and to decide which battery has to be charged or discharged according to the actual system state (e.g. power generated from the renewables, states of charge of the different batteries). Additionally, it controls the operation of the diesel generator. The management strategy operates each battery under consideration of the respective aging characteristics in order to increase the overall economics of the system. For each battery technology an aging model has been developed to consider the calendric and cyclic aging. This has a big effect on the total system costs through the replacement costs of the batteries. It correspondingly affects the choice of the suitable combination of battery technologies made by the optimization algorithm (Genetic Algorithm) to find the best solution with the minimal costs. In this work a comparison between the optimization results in two different countries is done (Aachen-Germany and Quneitra-Syria with an annual solar radiation of 950 kWh/kWp and 1850 kWh/kWp respectively). Moreover, a sensitivity analysis for different battery prices is done and the results are demonstrated.
Keywords :
ageing; battery management systems; diesel-electric generators; genetic algorithms; hybrid power systems; lead acid batteries; load flow control; power grids; sensitivity analysis; solar power stations; solar radiation; Aachen-Germany; Quneitra-Syria; battery aging model; battery management strategy; battery replacement cost; diesel generator; energy 1850 kWh; energy 950 kWh; energy flow control; genetic algorithm; lead-acid battery discharging; lithium-ion battery charging; off-grid hybrid PV-wind-diesel system optimization; off-grid hybrid power supply system optimization; sensitivity analysis; solar radiation; telecommunication base station; vanadium redox-flow battery; Aging; Base stations; Batteries; Generators; Lead; Optimization; System-on-chip;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Telecommunications Energy Conference (INTELEC), 2014 IEEE 36th International
Conference_Location :
Vancouver, BC
Type :
conf
DOI :
10.1109/INTLEC.2014.6972127
Filename :
6972127
Link To Document :
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