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Assessing the Impact of Load and Renewable Energies’ Uncertainty on a Hybrid System

Received: 30 March 2015     Accepted: 31 March 2015     Published: 17 December 2015
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Abstract

As increasing of fossil fuels and the trend of expiring, using of alternative fuels has been on the agenda of most countries particularly in the past two decades. In the meantime, the using of wind energy and solar radiation are extremely popular as sources of green energy and high-efficiency. Hence, the prediction of wind and solar power is important. The power output of these power plants depends on wind speed, temperature and radiation. In this paper, the uncertainty of wind and solar power generation, and load forecasting are considered based on correlation analysis on wind power, solar radiation, and ambient temperature time series. Predicted values are given to the hybrid system (wind–fuel cell–photovoltaic) to provide electrical load for the 24-hours. Finally, the proposed model is applied to demonstrate its effectiveness based on actual examples information of load, wind, radiation, temperature of wind farm and solar power plants.

Published in International Journal of Energy and Power Engineering (Volume 5, Issue 2-1)

This article belongs to the Special Issue Electricity Market

DOI 10.11648/j.ijepe.s.2016050202.11
Page(s) 1-8
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

Renewable Energies, Neural Network, Correlation Analysis, Forecasting Method, Uncertainty

References
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[14] R. J. Bessa, V. Miranda, and J. Gama, “Entropy and correntropy against minimum square error in offline and online three-day ahead wind power forecasting”, IEEE Trans. Power Syst., vol. 24, no. 4, pp. 16571666, Nov. 2009.
[15] Methaprayoon K, Yingvivatanapong C, Lee WJ, Liao JR. “An integration of ANN wind power estimation into unit commitment considering the forecasting uncertainty”. IEEE Transactions on Industry Applications 2007; 43(6):1441–1448.
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  • APA Style

    Amin Shokri Gazafroudi. (2015). Assessing the Impact of Load and Renewable Energies’ Uncertainty on a Hybrid System. International Journal of Energy and Power Engineering, 5(2-1), 1-8. https://doi.org/10.11648/j.ijepe.s.2016050202.11

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    ACS Style

    Amin Shokri Gazafroudi. Assessing the Impact of Load and Renewable Energies’ Uncertainty on a Hybrid System. Int. J. Energy Power Eng. 2015, 5(2-1), 1-8. doi: 10.11648/j.ijepe.s.2016050202.11

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    AMA Style

    Amin Shokri Gazafroudi. Assessing the Impact of Load and Renewable Energies’ Uncertainty on a Hybrid System. Int J Energy Power Eng. 2015;5(2-1):1-8. doi: 10.11648/j.ijepe.s.2016050202.11

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  • @article{10.11648/j.ijepe.s.2016050202.11,
      author = {Amin Shokri Gazafroudi},
      title = {Assessing the Impact of Load and Renewable Energies’ Uncertainty on a Hybrid System},
      journal = {International Journal of Energy and Power Engineering},
      volume = {5},
      number = {2-1},
      pages = {1-8},
      doi = {10.11648/j.ijepe.s.2016050202.11},
      url = {https://doi.org/10.11648/j.ijepe.s.2016050202.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepe.s.2016050202.11},
      abstract = {As increasing of fossil fuels and the trend of expiring, using of alternative fuels has been on the agenda of most countries particularly in the past two decades. In the meantime, the using of wind energy and solar radiation are extremely popular as sources of green energy and high-efficiency. Hence, the prediction of wind and solar power is important. The power output of these power plants depends on wind speed, temperature and radiation. In this paper, the uncertainty of wind and solar power generation, and load forecasting are considered based on correlation analysis on wind power, solar radiation, and ambient temperature time series. Predicted values are given to the hybrid system (wind–fuel cell–photovoltaic) to provide electrical load for the 24-hours. Finally, the proposed model is applied to demonstrate its effectiveness based on actual examples information of load, wind, radiation, temperature of wind farm and solar power plants.},
     year = {2015}
    }
    

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    AU  - Amin Shokri Gazafroudi
    Y1  - 2015/12/17
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    T2  - International Journal of Energy and Power Engineering
    JF  - International Journal of Energy and Power Engineering
    JO  - International Journal of Energy and Power Engineering
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    AB  - As increasing of fossil fuels and the trend of expiring, using of alternative fuels has been on the agenda of most countries particularly in the past two decades. In the meantime, the using of wind energy and solar radiation are extremely popular as sources of green energy and high-efficiency. Hence, the prediction of wind and solar power is important. The power output of these power plants depends on wind speed, temperature and radiation. In this paper, the uncertainty of wind and solar power generation, and load forecasting are considered based on correlation analysis on wind power, solar radiation, and ambient temperature time series. Predicted values are given to the hybrid system (wind–fuel cell–photovoltaic) to provide electrical load for the 24-hours. Finally, the proposed model is applied to demonstrate its effectiveness based on actual examples information of load, wind, radiation, temperature of wind farm and solar power plants.
    VL  - 5
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Author Information
  • EE Department, Imam Khomeini International University, Qazvin, Iran

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