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Prototype large-scale renewable energy system optimisation for Victoria, Australia

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  • Huva, Robert
  • Dargaville, Roger
  • Caine, Simon

Abstract

This paper presents results from a prototype renewable energy network optimisation model, which is driven with output from a high resolution mesoscale weather model of the current climate. The network model estimates potential power output for various combinations of wind and solar farms across a large domain of several hundred kilometres and calculates the required back-up power capacity needed to meet demand. The model finds the network configuration that minimises the cost of the system, and shows that considerably less installed capacity of both renewables and back-up is required if the choice of locations for wind and solar farms takes into account the covariance in the wind and solar fields.

Suggested Citation

  • Huva, Robert & Dargaville, Roger & Caine, Simon, 2012. "Prototype large-scale renewable energy system optimisation for Victoria, Australia," Energy, Elsevier, vol. 41(1), pages 326-334.
    • Handle: RePEc:eee:energy:v:41:y:2012:i:1:p:326-334
    DOI: 10.1016/j.energy.2012.03.009
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    References listed on IDEAS

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    15. Hong, Ying-Yi & Chang, Wen-Chun & Chang, Yung-Ruei & Lee, Yih-Der & Ouyang, Der-Chuan, 2017. "Optimal sizing of renewable energy generations in a community microgrid using Markov model," Energy, Elsevier, vol. 135(C), pages 68-74.
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