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A review and technical assessment integrating wind energy into an island power system

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  • Ally, Clint
  • Bahadoorsingh, Sanjay
  • Singh, Arvind
  • Sharma, Chandrabhan

Abstract

Integrating wind power into an existing power system poses technical challenges including optimal wind turbine selection, determining an adequate penetration level and maintaining power system stability. This study addresses these challenges for proposed sites in Trinidad and Tobago. Two wind regimes were considered, their average wind speeds extrapolated to 75m were respectively 5.3ms−1 and 9.1ms−1. A wind turbine based on computed Capacity Factors (CF) of respectively 28.09% and 73.29% was selected for the sites. Appropriate wind power penetration levels were determined by applying the Monte Carlo Simulation (MCS) technique to generate probabilistic indices. Wind power penetration levels of 1% (15MW) and 2% (30MW) of total generation capacity were considered appropriate. Transient simulations were conducted in CYMSTAB to evaluate the impact of the Wind Turbine Generator (WTG) on the power system stability. Frequency, voltage and rotor angle stability were assessed. Frequency deviations from nominal increased proportionally with the number of WTGs connected. The sites׳ wind speed characteristics significantly influenced the active and reactive power generation capabilities of the WTGs, impacting the voltage profile and angular separation. In all simulation cases, the power system remained stable.

Suggested Citation

  • Ally, Clint & Bahadoorsingh, Sanjay & Singh, Arvind & Sharma, Chandrabhan, 2015. "A review and technical assessment integrating wind energy into an island power system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 863-874.
    • Handle: RePEc:eee:rensus:v:51:y:2015:i:c:p:863-874
    DOI: 10.1016/j.rser.2015.06.046
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    1. Arcos-Aviles, Diego & Pascual, Julio & Guinjoan, Francesc & Marroyo, Luis & Sanchis, Pablo & Marietta, Martin P., 2017. "Low complexity energy management strategy for grid profile smoothing of a residential grid-connected microgrid using generation and demand forecasting," Applied Energy, Elsevier, vol. 205(C), pages 69-84.
    2. Chadee, Xsitaaz T. & Clarke, Ricardo M., 2018. "Wind resources and the levelized cost of wind generated electricity in the Caribbean islands of Trinidad and Tobago," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2526-2540.

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