OPTIMAL SELECTION ON POWER GRID TRANSMISSION AND TRANSFORMATION PROJECTS BY A HYBRID MCDM METHOD

Abstract

Selecting the optimal power grid transmission and transformation project (TTP) is quite important, which can ease financial pressure and promote sustainable development of power grid enterprise. In this paper, the optimal TTP is selected by employing a hybrid MCDM technique. After the evaluation index system was built, the index weights were determined by entropy weighting method. Then, the performance scores of three TTPs were valued by employing grey clustering decision-making model (GCDM). The empirical analysis result shows TTP#3 should be selected as the optimal one due to its highest integrated clustering coefficient. This hybrid MCDM method is effective and practical, which can be employed in the optimal TTP selection issue.

Authors and Affiliations

Huiru Zhao, Sen Guo*

Keywords

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  • EP ID EP122260
  • DOI -
  • Views 65
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How To Cite

Huiru Zhao, Sen Guo* (30). OPTIMAL SELECTION ON POWER GRID TRANSMISSION AND TRANSFORMATION PROJECTS BY A HYBRID MCDM METHOD. International Journal of Engineering Sciences & Research Technology, 4(7), 20-25. https://europub.co.uk/articles/-A-122260