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Sizing and Placement of DG and UPQC for Improving the Profitability of Distribution System Using Multi-objective WOA

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Intelligent Systems Design and Applications (ISDA 2018 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 941))

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Abstract

Distributed Flexible AC Transmission System (D-FACTS) devices improve the performance of distributed Generation (DG) units in the distribution system. Optimizing the location and size of DGs and Unified Power Quality Conditioner (UPQC) is done in the distribution system with hourly load model in this study. The model of network load is considered as the hourly variation of consumption. The technical and economic indices are optimized during the proposed method so that the profitability of network increases after locating the devices. The combination of multi-objective whale optimization algorithm and fuzzy decision-making method is utilized to find the optimal location and capacity of DGs and UPQC. Finally, the proposed method is applied to the 34-bus standard distribution system. The results show that the technical performance and the profitability of distribution system are improved considerably after operating the devices in the best location with optimal capacity.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, University of Mohaghegh Ardabili, Ardabil, Iran

    Hossein Shayeghi

  2. Department of Electrical Engineering, Urmia University, Urmia, Iran

    M. Alilou & B. Tousi

  3. Department of Electrical Engineering, Technical and Vocational University, Technical and Vocational Institute Razi, Ardabil, Iran

    R. Dadkhah Doltabad

Authors
  1. Hossein Shayeghi
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  2. M. Alilou
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  3. B. Tousi
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  4. R. Dadkhah Doltabad
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Corresponding author

Correspondence to Hossein Shayeghi .

Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs, Auburn, WA, USA

    Ajith Abraham

  2. School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India

    Aswani Kumar Cherukuri

  3. Tijuana Institute of Technology, Tijuana, Mexico

    Patricia Melin

  4. Machine Intelligence Research Labs, Auburn, WA, USA

    Niketa Gandhi

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Shayeghi, H., Alilou, M., Tousi, B., Dadkhah Doltabad, R. (2020). Sizing and Placement of DG and UPQC for Improving the Profitability of Distribution System Using Multi-objective WOA. In: Abraham, A., Cherukuri, A., Melin, P., Gandhi, N. (eds) Intelligent Systems Design and Applications. ISDA 2018 2018. Advances in Intelligent Systems and Computing, vol 941. Springer, Cham. https://doi.org/10.1007/978-3-030-16660-1_79

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