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An optimization approach for optimal location & size of DSTATCOM and DG

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  • Ferminus Raj, A.
  • Gnana Saravanan, A.

Abstract

This manuscript proposes a novel method to decide the optimum location and size of Distribution static compensator (DSTATCOM) and Distribution Generation (DG) are examined. For lessening the loss of power, voltage profile improvement and operation costs of system, the objective function is used under the constraints of equality and inequality. The aim of proposed method is diagnosis the dynamic issues present in the power system under various environments, like healthy conditions and unhealthy conditions. The primary location of both Distribution Generation and Distribution static compensator are detected by using the loss sensitivity factor (LSF). The final optimum location is determined by using Dwarf Mongoose Optimization (DMO) method. The DMO is used to decide the optimum size of Distribution Generation and Distribution static compensator. The aim of the proposed method is an integrated approach of loss sensitivity factor and Dwarf Mongoose Optimization to decide the optimum location and size of Distribution Generation and DSTATCOM for diminishing the loss of power, voltage profile improvement and operation cost. The Distribution Generation and DSTATCOM are simultaneously placed in radial DG. The LSF is used earlier to detect the optimum location of Distribution Generation and Distribution static compensator. The proposed system is performed in MATLAB or Simulink site and the performance of dynamic stability is tested with IEEE standard bench mark systems.

Suggested Citation

  • Ferminus Raj, A. & Gnana Saravanan, A., 2023. "An optimization approach for optimal location & size of DSTATCOM and DG," Applied Energy, Elsevier, vol. 336(C).
    • Handle: RePEc:eee:appene:v:336:y:2023:i:c:s0306261923001617
    DOI: 10.1016/j.apenergy.2023.120797
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    References listed on IDEAS

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    1. Colmenar-Santos, Antonio & Reino-Rio, Cipriano & Borge-Diez, David & Collado-Fernández, Eduardo, 2016. "Distributed generation: A review of factors that can contribute most to achieve a scenario of DG units embedded in the new distribution networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1130-1148.
    2. Daniel D. & Preethi N. & Aishwarya Jakka & Sivaraman Eswaran, 2021. "Collaborative Intrusion Detection System in Cognitive Smart City Network (CSC-Net)," International Journal of Knowledge and Systems Science (IJKSS), IGI Global, vol. 12(1), pages 60-73, January.
    3. Sirjani, Reza & Rezaee Jordehi, Ahmad, 2017. "Optimal placement and sizing of distribution static compensator (D-STATCOM) in electric distribution networks: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 688-694.
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    Cited by:

    1. Sunday Adeleke Salimon & Isaiah Gbadegesin Adebayo & Gafari Abiola Adepoju & Oludamilare Bode Adewuyi, 2023. "Optimal Allocation of Distribution Static Synchronous Compensators in Distribution Networks Considering Various Load Models Using the Black Widow Optimization Algorithm," Sustainability, MDPI, vol. 15(21), pages 1-23, November.
    2. Umme Mumtahina & Sanath Alahakoon & Peter Wolfs, 2023. "A Literature Review on the Optimal Placement of Static Synchronous Compensator (STATCOM) in Distribution Networks," Energies, MDPI, vol. 16(17), pages 1-38, August.

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