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Multiple (TEES)-Criteria-Based Sustainable Planning Approach for Mesh-Configured Distribution Mechanisms across Multiple Load Growth Horizons

Author

Listed:
  • Syed Ali Abbas Kazmi

    (U.S.-Pakistan Center for Advanced Studies in Energy (USPCAS-E), National University of Sciences and Technology (NUST), H-12 Campus, Islamabad 44000, Pakistan
    Joint First Author.)

  • Usama Ameer Khan

    (U.S.-Pakistan Center for Advanced Studies in Energy (USPCAS-E), National University of Sciences and Technology (NUST), H-12 Campus, Islamabad 44000, Pakistan
    Joint First Author.)

  • Waleed Ahmad

    (U.S.-Pakistan Center for Advanced Studies in Energy (USPCAS-E), National University of Sciences and Technology (NUST), H-12 Campus, Islamabad 44000, Pakistan)

  • Muhammad Hassan

    (U.S.-Pakistan Center for Advanced Studies in Energy (USPCAS-E), National University of Sciences and Technology (NUST), H-12 Campus, Islamabad 44000, Pakistan)

  • Fahim Ahmed Ibupoto

    (Department of Mining Engineering, Balochistan University of Information Technology, Engineering and Management Sciences, Quetta 87300, Pakistan)

  • Syed Basit Ali Bukhari

    (Department of Electrical Engineering, The University of Azad Jammu and Kashmir, Muzaffarabad, Azad Jammu and Kashmir 13100, Pakistan)

  • Sajid Ali

    (U.S.-Pakistan Center for Advanced Studies in Energy (USPCAS-E), National University of Sciences and Technology (NUST), H-12 Campus, Islamabad 44000, Pakistan)

  • M. Mahad Malik

    (U.S.-Pakistan Center for Advanced Studies in Energy (USPCAS-E), National University of Sciences and Technology (NUST), H-12 Campus, Islamabad 44000, Pakistan)

  • Dong Ryeol Shin

    (Department of Electrical and Computer Engineering, College of Information and Communication Engineering (CICE), Sungkyunkwan University (SKKU), Suwon 16419, Korea)

Abstract

Modern distribution mechanisms within the smart grid paradigm are considered both reliable in nature and interconnected in topology. In this paper, a multiple-criteria-based sustainable planning (MCSP) approach is presented that serves as a future planning tool for interconnected distribution mechanisms and aims to find a feasible solution among conflicting criteria of various genres. The proposed methodology is based on three stages. In the stage 1, a weighted voltage stability index ( VSI_W ) and loss minimization condition ( LMC ) based approach aims at optimal asset optimization (sitting and sizing). In this stage, an evaluation of alternatives (solutions) is carried out across four dimensions (technical, economic, environmental, and social) of performance metrics. The assets considered in the evaluations include distributed generation (DG), renewable DGs, i.e., photovoltaic (PV), wind, and distributed static compensator (D-STATCOM) units. In the stage 2, various multicriteria decision-making (MCDM) methodologies are applied to ascertain the best trade-off among the available solutions in terms of techno-cost (economic) (TCPE), environment-o-social (ESPE), and techno-economic-environmental-socio (TEES) performance evaluations (OPE). In the stage 3, the alternatives are evaluated across multiple load growth horizons of 5 years each. The proposed MCSP approach is evaluated across a mesh-configured 33-bus active distribution network (ADN) and an actual NUST (which is a university in Islamabad, Pakistan) microgrid (MG), with various variants of load growth. The numerical findings of the proposed MCSP approach are compared with reported works the literature supports its validity and can serve as an important planning tool for interconnected distribution mechanisms for researchers and planning engineers.

Suggested Citation

  • Syed Ali Abbas Kazmi & Usama Ameer Khan & Waleed Ahmad & Muhammad Hassan & Fahim Ahmed Ibupoto & Syed Basit Ali Bukhari & Sajid Ali & M. Mahad Malik & Dong Ryeol Shin, 2021. "Multiple (TEES)-Criteria-Based Sustainable Planning Approach for Mesh-Configured Distribution Mechanisms across Multiple Load Growth Horizons," Energies, MDPI, vol. 14(11), pages 1-44, May.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:11:p:3128-:d:563389
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    References listed on IDEAS

    as
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