Evaluation Framework of the Deficit and Reliability Quality Measures of the Transmission System

Authors

  • A. S. Alshammari Department of Electrical Engineering, University of Hail, Saudi Arabia
  • B. M. Alshammari Department of Electrical Engineering, University of Hail, Saudi Arabia https://orcid.org/0000-0001-6819-3695
  • T. Guesmi College of Engineering, University of Hail, Saudi Arabia | University of Sfax, ENIS, Tunisia
  • R. Abbassi Department of Electrical Engineering, College of Engineering, University of Ha'il, Saudi Arabia

Abstract

Power system planning faces various issues related to reliability and quality evaluation. The power system network planning is by nature a complex, huge-scale, and mixed-objective optimization problem, especially when concerning its non-linear behavior and the requirements of future unknown loads. In this regard, the electric power utilities attempt to maintain a balance between the generation energy, the transmission capacity, and the needed demand. The main purpose of the current paper is to utilize modern modeling techniques and computational procedures, including the advanced deficit transmission system evaluation method and sparse-matrix network analysis algorithms, in order to evaluate, with sufficient accuracy, the deficit and reliability levels in practical real-life large-scale power systems. The new evaluation methodology is based on three quantities representing the relationship between the generation push in the grid, the maximum limitation of the transmission capacity, and the needed load. The main contribution of the paper is assessing the deficit transmission system index with novel formulas.

Keywords:

reliability evaluation, deficit index, transmission system, quality measures

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References

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How to Cite

[1]
Alshammari, A.S., Alshammari, B.M., Guesmi, T. and Abbassi, R. 2021. Evaluation Framework of the Deficit and Reliability Quality Measures of the Transmission System. Engineering, Technology & Applied Science Research. 11, 2 (Apr. 2021), 6930–6934. DOI:https://doi.org/10.48084/etasr.4074.

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