Aging-aware NaS battery model in a stochastic wind-storage simulation framework

2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013

Volumn , Issue , 2013, Pages

  Haessig, Pierre ^a,b   Multon, Bernard ^a   Ben Ahmed, Hamid ^a   Lascaud, Stephane ^b   Jamy, Lionel ^b  

^a CNRS   (France)

^b EDF R AND D   (France)

Author keywords

Autoregressive processes; energy storage sizing; power generation planning; production commitment; sodium sulfur battery; wind energy; wind power forecasting

Indexed keywords

AUTO REGRESSIVE MODELS; AUTO REGRESSIVE PROCESS; ENERGY STORAGE SYSTEMS; INTERNAL TEMPERATURE; POWER GENERATION PLANNING; SODIUM SULFUR BATTERY; STOCHASTIC FRAMEWORK; WIND POWER FORECASTING;

DIGITAL STORAGE; ELECTRIC UTILITIES; ENERGY DISSIPATION; ENERGY STORAGE; SODIUM; STOCHASTIC SYSTEMS; SULFUR; WEATHER FORECASTING; WIND POWER;

STOCHASTIC MODELS;

EID: 84890888308     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PTC.2013.6652505     Document Type: Conference Paper

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