A new merit function to accommodate high wind power penetration of WGRs (wind generating resources)

Energy

Volumn 108, Issue , 2016, Pages 34-40

  Hur, J ^a   Baldick, R ^b  

^a Sangmyung University   (South Korea)

^b The University of Texas at Austin   (United States)

Author keywords

Kriged Wind Farm SMES hybrid model; Kriging techniques; Merit function; Spatial analysis; Wind farm output prediction; Wind farm sites

Indexed keywords

DIGITAL STORAGE; ELECTRIC ENERGY STORAGE; ELECTRIC UTILITIES; ENERGY STORAGE; FORECASTING; INTERPOLATION; MAGNETIC STORAGE; SUPERCONDUCTING MAGNETS; WIND POWER;

HYBRID MODEL; KRIGING TECHNIQUE; MERIT FUNCTION; SPATIAL ANALYSIS; WIND FARM;

ELECTRIC POWER SYSTEM INTERCONNECTION;

ENERGY CONSERVATION; FUNCTIONAL RESPONSE; FUNCTIONAL ROLE; KRIGING; PENETRATION TEST; POWER GENERATION; PREDICTION; RENEWABLE RESOURCE; RESOURCE ASSESSMENT; SPATIAL ANALYSIS; WIND FARM; WIND POWER;

TEXAS; UNITED STATES;

EID: 84953438908     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2015.11.058     Document Type: Article

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