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A multiobjective approach for reactive power planning in networks with wind power generation

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  • Alonso, Monica
  • Amaris, Hortensia
  • Alvarez-Ortega, Carlos

Abstract

The increase in wind energy penetration is creating a wide range of technical problems in power networks. Reactive Power Planning is one of these crucial issues which entails all the necessary planning actions to improve the voltage profile as well as the voltage stability in power networks. On the whole, the ultimate aim in reactive power planning could be addressed as the resolution of an optimization problem, in which multiobjective optimization techniques emerge as good alternatives to fulfil several goals simultaneously.

Suggested Citation

  • Alonso, Monica & Amaris, Hortensia & Alvarez-Ortega, Carlos, 2012. "A multiobjective approach for reactive power planning in networks with wind power generation," Renewable Energy, Elsevier, vol. 37(1), pages 180-191.
  • Handle: RePEc:eee:renene:v:37:y:2012:i:1:p:180-191
    DOI: 10.1016/j.renene.2011.06.021
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    References listed on IDEAS

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    1. Lahaçani, N.A. & Aouzellag, D. & Mendil, B., 2010. "Contribution to the improvement of voltage profile in electrical network with wind generator using SVC device," Renewable Energy, Elsevier, vol. 35(1), pages 243-248.
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    Citations

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    Cited by:

    1. Roy, N.K. & Pota, H.R. & Hossain, M.J., 2013. "Reactive power management of distribution networks with wind generation for improving voltage stability," Renewable Energy, Elsevier, vol. 58(C), pages 85-94.
    2. Antipova, Ekaterina & Boer, Dieter & Cabeza, Luisa F. & Guillén-Gosálbez, Gonzalo & Jiménez, Laureano, 2013. "Uncovering relationships between environmental metrics in the multi-objective optimization of energy systems: A case study of a thermal solar Rankine reverse osmosis desalination plant," Energy, Elsevier, vol. 51(C), pages 50-60.
    3. Raza, Muhammad & Collados, Carlos & Gomis-Bellmunt, Oriol, 2017. "Reactive power management in an offshore AC network having multiple voltage source converters," Applied Energy, Elsevier, vol. 206(C), pages 793-803.
    4. Dylan F. Jones & Graham Wall, 2016. "An extended goal programming model for site selection in the offshore wind farm sector," Annals of Operations Research, Springer, vol. 245(1), pages 121-135, October.
    5. Panda, Ambarish & Tripathy, M., 2015. "Security constrained optimal power flow solution of wind-thermal generation system using modified bacteria foraging algorithm," Energy, Elsevier, vol. 93(P1), pages 816-827.
    6. Shojaei, Amir Hossein & Ghadimi, Ali Asghar & Miveh, Mohammad Reza & Gandoman, Foad H. & Ahmadi, Abdollah, 2021. "Multiobjective reactive power planning considering the uncertainties of wind farms and loads using Information Gap Decision Theory," Renewable Energy, Elsevier, vol. 163(C), pages 1427-1443.
    7. Zhang, Guozhou & Hu, Weihao & Cao, Di & Zhou, Dao & Huang, Qi & Chen, Zhe & Blaabjerg, Frede, 2023. "Coordinated active and reactive power dynamic dispatch strategy for wind farms to minimize levelized production cost considering system uncertainty: A soft actor-critic approach," Renewable Energy, Elsevier, vol. 218(C).
    8. Kayakutlu, Gulgun & Daim, Tugrul & Kunt, Meltem & Altay, Ayca & Suharto, Yulianto, 2017. "Scenarios for regional waste management," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 1323-1335.

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