INVESTIGADORES
MOLINA Marcelo Gustavo
congresos y reuniones científicas
Título:
Dynamic Model of Sodium Sulfur Battery for Application in Microgrids
Autor/es:
SARARSUA, ANTONIO ERNESTO; MOLINA, MARCELO GUSTAVO; MERCADO, PEDRO ENRIQUE
Lugar:
Mar del Plata
Reunión:
Congreso; Congreso Iberoamericano de Hidrógeno y Fuentes Sustentables de Energía: HYFUSEN 2011; 2011
Institución organizadora:
Instituto de Energía y Desarrollo Sustentable - Comisión Nacional de Energía Atómica
Resumen:
Nowadays, in addition to be a tendency to use renewable energy sources, there is a tendency to operate these units in a decentralized manner so that they are able, if necessary, to work independently or in isolation from the rest of the power system. These systems are called microgrids (MGs). When using renewable energy sources, mainly based on solar radiation or wind, the problem is mainly the fluctuating and the intermittent nature of these resources. In the case of MGs this problem is particularly critical given the ability to be having to work in isolation. To operate MGs safely they should normally use a combination of several types of generators and also use energy storage to maintain the balance of active power.Among the new storage systems, sodium sulfur batteries (NAS) are considered suitable to perform various security tasks in MG. NAS batteries have a high energy and power density per unit volume and also they can provide energy in both the short and long range. However, the disadvantage that these batteries have is that there are few models that faithfully represent its dynamic behavior. For a proper study of the security of MGs using NAS battery, it is necessary to identify the dynamic performance of these batteries with an accurate model. This paper presents the detailed modeling and dynamic simulation of a NAS battery storage for use in MGs. Also describes the power conditioning system (DSTATCOM) used to connect the NAS battery with the MG and the control strategy. Finally, a NAS battery model is implemented in the environment of MATLAB/Simulink, and then tested in a microgrid system.