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Wind Distributed Generation with the Power Distribution Network for Power Quality Control

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Enabling Machine Learning Applications in Data Science

Part of the book series: Algorithms for Intelligent Systems ((AIS))

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Abstract

Power system quality is a vital issue for electricity companies and consumers of low and medium voltage. So as to decrease the generation power from fossil fuel, it is important to depend on the renewable energy sources which consider as low running cost and low environmental aspects as compared with the traditional power generation. Distributed generation (DG) unit can be defined as a small-scale unit that generates the electric power near the location of customers based on renewable energy sources, including wind energy, solar energy, and geothermal energy. Interconnecting DG with the utility grid can contribute by different advantages to the owner, utility, and the final user. DG gives an improved power quality and higher dependability of the distribution system. In any case, the integration of DG with the existing power system has associated several technical, economic, and regulatory questions. This study discusses the effect of using the DGs with the power system focuses on wind power generation for voltage control and power losses reduction. The simulation analysis in this context has been validated with IEEE-12 Busbars distribution power system as an example to shows the voltage control and power losses reduction. The highlight points from this study to advice and recommends the power system designer to consider the wind DGs with the distribution network for enhancing the power system quality.

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Acknowledgments

The authors wish to acknowledge Alfanar Company, Saudi Arabia for supporting to complete this research, especially thanks to Mr. Amer Abdullah Alajmi (Vice President, Sales & Marketing, Alfanar Company, Saudi Arabia) and Mr. Osama Morsy (General Manager, Alfanar Engineering Service, Alfanar Company, Saudi Arabia).

Author information

Authors and Affiliations

  1. Electrical Engineering Department, Mansoura University, Mansoura, Egypt

    Ali M. Eltamaly

  2. Sustainable Energy Technologies Center, King Saud University, Riyadh, 11421, Saudi Arabia

    Ali M. Eltamaly

  3. Electrical Engineering Department, Minia University, Minia, Egypt

    Yehia Sayed Mohamed, Abou-Hashema M. El-Sayed & Amer Nasr A. Elghaffar

  4. Project Manager, Alfanar Engineering Service, Alfanar Company, Riyadh, Saudi Arabia

    Amer Nasr A. Elghaffar

Authors
  1. Ali M. Eltamaly
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  2. Yehia Sayed Mohamed
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  3. Abou-Hashema M. El-Sayed
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  4. Amer Nasr A. Elghaffar
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Editor information

Editors and Affiliations

  1. Faculty of Computers and Artificial Intelligence, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. Faculty of Science, Helwan University, Cairo, Egypt

    Ashraf Darwish

  3. Electronics Research Institute, Cairo, Egypt

    Sherine M. Abd El-Kader

  4. College of Science and Humanities, Imam Abdulrahman Bin Faisal University, Jubail, Saudi Arabia

    Dabiah Ahmed Alboaneen

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© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Eltamaly, A.M., Mohamed, Y.S., El-Sayed, AH.M., Elghaffar, A.N.A. (2021). Wind Distributed Generation with the Power Distribution Network for Power Quality Control. In: Hassanien, A.E., Darwish, A., Abd El-Kader, S.M., Alboaneen, D.A. (eds) Enabling Machine Learning Applications in Data Science. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-33-6129-4_10

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