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 |
Renewable Energies, Neural Network, Correlation Analysis, Forecasting Method, Uncertainty
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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
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
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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Download@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}
}
TY - JOUR T1 - Assessing the Impact of Load and Renewable Energies’ Uncertainty on a Hybrid System AU - Amin Shokri Gazafroudi Y1 - 2015/12/17 PY - 2015 N1 - https://doi.org/10.11648/j.ijepe.s.2016050202.11 DO - 10.11648/j.ijepe.s.2016050202.11 T2 - International Journal of Energy and Power Engineering JF - International Journal of Energy and Power Engineering JO - International Journal of Energy and Power Engineering SP - 1 EP - 8 PB - Science Publishing Group SN - 2326-960X UR - https://doi.org/10.11648/j.ijepe.s.2016050202.11 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 IS - 2-1 ER -
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