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Embedded wind generation in weak grids—economic optimisation and power quality simulation

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  • Ackermann, Thomas
  • Garner, Karen
  • Gardiner, Alister

Abstract

A methodology which integrates different software tools for the assessment of distributed renewable energy generation, particularly wind energy, within a 11 kV distribution network is described in detail and is being used in a case study to study power quality issues. The methodology is based on an economic optimisation tool, which evaluates a range of different options for distributed generation. This output is used as a framework within which to apply technical software tools to consider the effects on energy utilisation and power quality. The simulation results provide further evidence that embedded wind generation, capable of supplying active and reactive power when properly sized and sited can significantly improve power quality. This improvement of power quality can add important economic value to the embedded wind generation system.

Suggested Citation

  • Ackermann, Thomas & Garner, Karen & Gardiner, Alister, 1999. "Embedded wind generation in weak grids—economic optimisation and power quality simulation," Renewable Energy, Elsevier, vol. 18(2), pages 205-221.
    • Handle: RePEc:eee:renene:v:18:y:1999:i:2:p:205-221
    DOI: 10.1016/S0960-1481(98)00794-0
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    Cited by:

    1. Kaundinya, Deepak Paramashivan & Balachandra, P. & Ravindranath, N.H., 2009. "Grid-connected versus stand-alone energy systems for decentralized power--A review of literature," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 2041-2050, October.
    2. Khalid, M. & Savkin, A.V., 2014. "Minimization and control of battery energy storage for wind power smoothing: Aggregated, distributed and semi-distributed storage," Renewable Energy, Elsevier, vol. 64(C), pages 105-112.
    3. Alarcon-Rodriguez, Arturo & Ault, Graham & Galloway, Stuart, 2010. "Multi-objective planning of distributed energy resources: A review of the state-of-the-art," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(5), pages 1353-1366, June.
    4. Grimm, Veronika & Grübel, Julia & Rückel, Bastian & Sölch, Christian & Zöttl, Gregor, 2020. "Storage investment and network expansion in distribution networks: The impact of regulatory frameworks," Applied Energy, Elsevier, vol. 262(C).
    5. Bazmi, Aqeel Ahmed & Zahedi, Gholamreza & Hashim, Haslenda, 2011. "Progress and challenges in utilization of palm oil biomass as fuel for decentralized electricity generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 574-583, January.
    6. Ackermann, Thomas & Söder, Lennart, 2002. "An overview of wind energy-status 2002," Renewable and Sustainable Energy Reviews, Elsevier, vol. 6(1-2), pages 67-127.
    7. Thompson, Shirley & Duggirala, Bhanu, 2009. "The feasibility of renewable energies at an off-grid community in Canada," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(9), pages 2740-2745, December.
    8. Bazmi, Aqeel Ahmed & Zahedi, Gholamreza, 2011. "Sustainable energy systems: Role of optimization modeling techniques in power generation and supply—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 3480-3500.

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