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A New Approach to Optimal Location and Sizing of DSTATCOM in Radial Distribution Networks Using Bio-Inspired Cuckoo Search Algorithm

Author

Listed:
  • Devabalaji Kaliaperumal Rukmani

    (Department of Electrical and Electronics Engineering, Hindustan Institute of Technology and Science, No. 1, OMR Road, Chennai 600077, India)

  • Yuvaraj Thangaraj

    (Department of Electrical and Electronics Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai 600077, India)

  • Umashankar Subramaniam

    (Renewable Energy Lab, College of Engineering, Prince Sultan University, Riyadh 11586, Saudi Arabia)

  • Sitharthan Ramachandran

    (School of Electrical Engineering, Vellore Institute of Technology, Vellore 632014, India)

  • Rajvikram Madurai Elavarasan

    (Electrical and Automotive parts Manufacturing Unit, AA Industries, Chennai 600123, India)

  • Narottam Das

    (School of Engineering and Technology, Central Queensland University, Melbourne, VIC 3000, Australia
    Centre for Intelligent Systems, School of Engineering and Technology, Central Queensland University, Brisbane, QLD 4000, Australia)

  • Luis Baringo

    (Escuela Técnica Superior de Ingeniería Industrial, Universidad de Castilla-La Mancha, Campus Universitario s/n, 13071 Ciudad Real, Spain)

  • Mohamed Imran Abdul Rasheed

    (School of Electrical Engineering, Vellore Institute of Technology, Chennai 600127, India)

Abstract

This article proposes a new approach based on a bio-inspired Cuckoo Search Algorithm (CSA) that can significantly envisage with several issues for optimal allocation of distribution static compensator (DSTATCOM) in Radial Distribution System (RDS). In the proposed method, optimal locations of the DSTATCOM are calculated by using the Loss Sensitivity Factor (LSF). The optimal size of the DSTATCOM is simulated by using the newly developed CSA. In the proposed method, load flow calculations are performed by using a fast and efficient backward/forward sweep algorithm. Here, the mathematically formed objective function of the proposed method is to reduce the total system power losses. Standard 33-bus and 69-bus systems have been used to show the effectiveness of the proposed CSA-based optimization method in the RDS with different load models. The simulated results confirm that the optimal allocation of DSTATCOM plays a significant role in power loss minimization and enhanced voltage profile. The placement of DSTATCOM in RDS also plan an important role for minimizing uncertainties in the distribution level. The proposed method encourages one to use renewable-based resources, which results in affordable and clean energy.

Suggested Citation

  • Devabalaji Kaliaperumal Rukmani & Yuvaraj Thangaraj & Umashankar Subramaniam & Sitharthan Ramachandran & Rajvikram Madurai Elavarasan & Narottam Das & Luis Baringo & Mohamed Imran Abdul Rasheed, 2020. "A New Approach to Optimal Location and Sizing of DSTATCOM in Radial Distribution Networks Using Bio-Inspired Cuckoo Search Algorithm," Energies, MDPI, vol. 13(18), pages 1-21, September.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:18:p:4615-:d:409197
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    References listed on IDEAS

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    1. Ali, Md Sawkat & Haque, Md Mejbaul & Wolfs, Peter, 2019. "A review of topological ordering based voltage rise mitigation methods for LV distribution networks with high levels of photovoltaic penetration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 463-476.
    2. Syed Ali Abbas Kazmi & Usama Ameer Khan & Hafiz Waleed Ahmad & Sajid Ali & Dong Ryeol Shin, 2020. "A Techno-Economic Centric Integrated Decision-Making Planning Approach for Optimal Assets Placement in Meshed Distribution Network Across the Load Growth," Energies, MDPI, vol. 13(6), pages 1-71, March.
    3. Bayat, A. & Bagheri, A., 2019. "Optimal active and reactive power allocation in distribution networks using a novel heuristic approach," Applied Energy, Elsevier, vol. 233, pages 71-85.
    4. Rohouma, Wesam & Balog, Robert S. & Peerzada, Aaqib Ahmad & Begovic, Miroslav M., 2020. "D-STATCOM for harmonic mitigation in low voltage distribution network with high penetration of nonlinear loads," Renewable Energy, Elsevier, vol. 145(C), pages 1449-1464.
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    Cited by:

    1. Khan, Babar Sattar & Qamar, Affaq & Ullah, Farman & Bilal, Muhammad, 2023. "Ingenuity of Shannon entropy-based fractional order hybrid swarming strategy to solve optimal power flows," Chaos, Solitons & Fractals, Elsevier, vol. 170(C).
    2. Sohrab Mirsaeidi & Subash Devkota & Xiaojun Wang & Dimitrios Tzelepis & Ghulam Abbas & Ahmed Alshahir & Jinghan He, 2022. "A Review on Optimization Objectives for Power System Operation Improvement Using FACTS Devices," Energies, MDPI, vol. 16(1), pages 1-24, December.
    3. Prashant & Anwar Shahzad Siddiqui & Md Sarwar & Ahmed Althobaiti & Sherif S. M. Ghoneim, 2022. "Optimal Location and Sizing of Distributed Generators in Power System Network with Power Quality Enhancement Using Fuzzy Logic Controlled D-STATCOM," Sustainability, MDPI, vol. 14(6), pages 1-31, March.
    4. Thangaraj Yuvaraj & Kaliaperumal Rukmani Devabalaji & Natarajan Prabaharan & Hassan Haes Alhelou & Asokkumar Manju & Poushali Pal & Pierluigi Siano, 2021. "Optimal Integration of Capacitor and Distributed Generation in Distribution System Considering Load Variation Using Bat Optimization Algorithm," Energies, MDPI, vol. 14(12), pages 1-24, June.

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