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Deployment of Renewable Embedded Generation and Unified Power Quality Conditioner in Distribution System using Firefly Algorithm

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Renewable Power for Sustainable Growth (ICRP 2023)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1086))

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Abstract

The efficiency and operation of current distribution systems have been enhanced by the insertion of renewable distributed generation (RDG). However, the placement of DG does not satisfy the network’s need for reactive power, which keeps the voltage of the buses at a level that maximizes the uncontrolled real and reactive variations of power systems. This paper proposed the optimal allocation of DG and Unified Power Quality Conditioner (UPQC) simultaneously to improve the performance of an active distribution system. The most advanced custom power device is the UPQC which combined with the capability of shunt and series compensator features allows for voltage and current compensation in distribution systems. A suitable optimization method is needed to address the challenge of selecting the capacity and position of these compensators. The Firefly Algorithm (FA) is a promising solution to the challenges of multi-objective optimization. The intended objective is active and reactive power loss reduction while improving the voltage profile without violating any system constraints. The effectiveness of the proposed optimal allocation of DG/UPQC using the FA method was evaluated by comparing it to the allocation of the DG system only and the base case system scenarios, respectively. The results revealed a significant percentage reduction in active and reactive power losses, reaching 72.01% and 66.57% with the optimal DG/UPQC allocation combination, respectively. In comparison to the Artificial Bee Colony Optimization (ABC) method, the results revealed the FA method is more efficient regarding both convergence speed and solution quality. The MATLAB 2021b environment served as the platform for the simulation, and it was tested it using the IEEE 33-bus radial distribution system method.

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Author information

Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, University of Maiduguri, Maiduguri, Nigeria

    Musa Mustapha

  2. Faculty of Electrical Engineering, Universti Teknologi Malaysia (UTM), 81310, Johor Bahru, Malaysia

    Madihah Binti Md. Rasid & Jasrul Jamani Bin Jamian

  3. Department of Electrical and Electronics Engineering, Abubakar Tafawa Balewa University, Bauchi, Nigeria

    Ganiyu Ayinde Bakare & Yau Shuaibu Haruna

Authors
  1. Musa Mustapha
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  2. Madihah Binti Md. Rasid
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  3. Jasrul Jamani Bin Jamian
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  4. Ganiyu Ayinde Bakare
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  5. Yau Shuaibu Haruna
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Corresponding author

Correspondence to Musa Mustapha .

Editor information

Editors and Affiliations

  1. Department of Electrical Power Engineering, Faculty of Engineering, Universiti Teknologi Malaysia (UTM), Johor Bahru, Malaysia

    Hasmat Malik

  2. Department of Electrical Engineering, Indian Institute of Technology Delhi, New Delhi, Delhi, India

    Sukumar Mishra

  3. Department of Electrical Engineering, National Institute of Technology Hamirpur, Hamirpur, Himachal Pradesh, India

    Y. R. Sood

  4. Department of Electrical Engineering, Qatar University, Doha, Qatar

    Atif Iqbal

  5. Advanced Industrial Science and Technology (FREA), Fukushima Renewable Energy Institute, Koriyama, Japan

    Taha Selim Ustun

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Mustapha, M., Rasid, M.B.M., Jamian, J.J.B., Bakare, G.A., Haruna, Y.S. (2024). Deployment of Renewable Embedded Generation and Unified Power Quality Conditioner in Distribution System using Firefly Algorithm. In: Malik, H., Mishra, S., Sood, Y.R., Iqbal, A., Ustun, T.S. (eds) Renewable Power for Sustainable Growth. ICRP 2023. Lecture Notes in Electrical Engineering, vol 1086. Springer, Singapore. https://doi.org/10.1007/978-981-99-6749-0_24

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  • DOI: https://doi.org/10.1007/978-981-99-6749-0_24

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-6748-3

  • Online ISBN: 978-981-99-6749-0

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