Battery Energy Storage Systems in Microgrids: Modeling and Design Criteria
TL;DR: Two modeling approaches (analytical and electrical) are developed based on experimental measurements and the derived models have been integrated in a methodology for the robust design of off-grid electric power systems which has been implemented in a MATLAB-based computational tool named Poli.NRG.
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Abstract: Off-grid power systems based on photovoltaic and battery energy storage systems are becoming a solution of great interest for rural electrification. The storage system is one of the most crucial components since inappropriate design can affect reliability and final costs. Therefore, it is necessary to adopt reliable models able to realistically reproduce the working condition of the application. In this paper, different models of lithium-ion battery are considered in the design process of a microgrid. Two modeling approaches (analytical and electrical) are developed based on experimental measurements. The derived models have been integrated in a methodology for the robust design of off-grid electric power systems which has been implemented in a MATLAB-based computational tool named Poli.NRG (POLItecnico di Milano—Network Robust desiGn). The procedure has been applied to a real-life case study to compare the different battery energy storage system models and to show how they impact on the microgrid design.
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References
Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition
Esmaeil Atashpaz-Gargari,Caro Lucas +1 more
- 01 Sep 2007
TL;DR: Applying the proposed algorithm for optimization inspired by the imperialistic competition to some of benchmark cost functions shows its ability in dealing with different types of optimization problems.
2.8K
World Energy Outlook 2014
Aie
- 01 Jan 2014
TL;DR: The 2014 edition of the World Energy Outlook (WEO) will incorporate all the latest data and developments to produce a comprehensive and authoritative analysis of medium and longer-term energy trends as discussed by the authors.
1.7K
Long-term patterns of European PV output using 30 years of validated hourly reanalysis and satellite data
Stefan Pfenninger,Iain Staffell +1 more
TL;DR: In this paper, the authors demonstrate how the MERRA and MERRA-2 global meteorological reanalyses as well as the Meteosat-based CM-SAF SARAH satellite dataset can be used to produce hourly PV simulations across Europe.
1.3K
A Generic Battery Model for the Dynamic Simulation of Hybrid Electric Vehicles
Olivier Tremblay,Louis-A. Dessaint,A.-I. Dekkiche +2 more
- 01 Sep 2007
TL;DR: In this paper, an easy-to-use battery model applied to dynamic simulation software is presented, which uses only the battery State-Of-Charge (SOC) as a state variable in order to avoid the algebraic loop problem.
1.3K
Degradation diagnostics for lithium ion cells
TL;DR: In this paper, the authors present experimental evidence supporting the widely reported degradation modes by means of tests conducted on coin cells, engineered to include different, known amounts of lithium inventory and active electrode material.
1.3K