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Optimal Placement and Sizing of DGs in Distribution Networks Using MLPSO Algorithm

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  • Eshan Karunarathne

    (Institute of Sustainable Energy, Universiti Tenaga Nasional (UNITEN), Kajang, Selangor 43000, Malaysia)

  • Jagadeesh Pasupuleti

    (Institute of Sustainable Energy, Universiti Tenaga Nasional (UNITEN), Kajang, Selangor 43000, Malaysia)

  • Janaka Ekanayake

    (Department of Electrical and Electronic Engineering, University of Peradeniya, Peradeniya 20400, Sri Lanka)

  • Dilini Almeida

    (Institute of Sustainable Energy, Universiti Tenaga Nasional (UNITEN), Kajang, Selangor 43000, Malaysia)

Abstract

In today’s world, distributed generation (DG) is an outstanding solution to tackle the challenges in power grids such as the power loss of the system that is intensified by the exponential increase in demand for electricity. Numerous optimization algorithms have been used by several researchers to establish the optimal placement and sizing of DGs to alleviate this power loss of the system. However, in terms of the reduction of active power loss, the performance of these algorithms is weaker. Furthermore, the premature convergence, the precision of the output, and the complexity are a few major drawbacks of these optimization techniques. Thus, this paper proposes the multileader particle swarm optimization (MLPSO) for the determination of the optimal locations and sizes of DGs with the objective of active power loss minimization while surmounting the drawbacks in previous algorithms. A comprehensive performance analysis is carried out utilizing the suggested approach on the standard IEEE 33 bus system and a real radial bus system in the Malaysian context. The findings reveal a 67.40% and an 80.32% reduction of losses in the two systems by integrating three DGs with a unity power factor, respectively. The comparison of the results with other optimization techniques demonstrated the effectiveness of the proposed MLPSO algorithm in optimal placement and sizing of DGs.

Suggested Citation

  • Eshan Karunarathne & Jagadeesh Pasupuleti & Janaka Ekanayake & Dilini Almeida, 2020. "Optimal Placement and Sizing of DGs in Distribution Networks Using MLPSO Algorithm," Energies, MDPI, vol. 13(23), pages 1-25, November.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:23:p:6185-:d:450561
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    References listed on IDEAS

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    Cited by:

    1. Eshan Karunarathne & Jagadeesh Pasupuleti & Janaka Ekanayake & Dilini Almeida, 2021. "The Optimal Placement and Sizing of Distributed Generation in an Active Distribution Network with Several Soft Open Points," Energies, MDPI, vol. 14(4), pages 1-20, February.
    2. Mohamed A. Elseify & Salah Kamel & Hussein Abdel-Mawgoud & Ehab E. Elattar, 2022. "A Novel Approach Based on Honey Badger Algorithm for Optimal Allocation of Multiple DG and Capacitor in Radial Distribution Networks Considering Power Loss Sensitivity," Mathematics, MDPI, vol. 10(12), pages 1-26, June.
    3. Marinko Barukčić & Goran Kurtović & Tin Benšić & Vedrana Jerković Štil, 2023. "Optimal Allocation and Energy Management of Units in Distribution Networks with Multiple Renewable Energy Sources and Battery Storage Based on Computational Intelligence," Energies, MDPI, vol. 16(22), pages 1-22, November.
    4. Mouwafi, Mohamed T. & El-Sehiemy, Ragab A. & El-Ela, Adel A. Abou, 2022. "A two-stage method for optimal placement of distributed generation units and capacitors in distribution systems," Applied Energy, Elsevier, vol. 307(C).
    5. Ramdhan Halid Siregar & Yuwaldi Away & Tarmizi & Akhyar, 2023. "Minimizing Power Losses for Distributed Generation (DG) Placements by Considering Voltage Profiles on Distribution Lines for Different Loads Using Genetic Algorithm Methods," Energies, MDPI, vol. 16(14), pages 1-25, July.
    6. Oludamilare Bode Adewuyi & Ayooluwa Peter Adeagbo & Isaiah Gbadegesin Adebayo & Harun Or Rashid Howlader & Yanxia Sun, 2021. "Modified Analytical Approach for PV-DGs Integration into a Radial Distribution Network Considering Loss Sensitivity and Voltage Stability," Energies, MDPI, vol. 14(22), pages 1-20, November.
    7. Habib Ur Rehman & Arif Hussain & Waseem Haider & Sayyed Ahmad Ali & Syed Ali Abbas Kazmi & Muhammad Huzaifa, 2023. "Optimal Planning of Solar Photovoltaic (PV) and Wind-Based DGs for Achieving Techno-Economic Objectives across Various Load Models," Energies, MDPI, vol. 16(5), pages 1-38, March.
    8. Akanit Kwangkaew & Saher Javaid & Chalie Charoenlarpnopparut & Mineo Kaneko, 2022. "Optimal Location and Sizing of Renewable Distributed Generators for Improving Voltage Stability and Security Considering Reactive Power Compensation," Energies, MDPI, vol. 15(6), pages 1-23, March.

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