ORCID
Ahmed K. Essa: 0000-0001-6153-9964
Montifort Blessings Andrew Mitungwi: 0009-0002-6388-3958
Tuweh Prince Gadama: 0009-0007-1787-6155
Ahmed A. Salama: 0000-0003-2300-615X
Article Type
Original Study
Abstract
Numerous uncertainties exist in various electricity power system problems due to the size, complexity, geographical distribution, and influence of unforeseen events in these systems, making it difficult for traditional mathematics tools based on crisp set theory to have an impact on and solve many power system problems. As a new branch of mathematical uncertainty techniques, the neutrosophic expert systems approach has therefore emerged with the development of electric power systems and has proven successful when correctly linked. The expert typically uses ambiguous or neutrosophic language to describe their empirical knowledge, such as "very likely," "quite likely," "if x is large, then y is very likely to occur," "x should not be less than a," etc. To design an optimal radius of power supply in the electrical transformer substation, this article presents a new method for creating primal and dual neutrosophic geometric programming problems. It also provides a numerical example to evaluate the approximate optimal economic power supply radius.
How to Cite
Essa, Ahmed K.; Mitungwi, Montifort Blessings Andrew; Gadama, Tuweh Prince; and Salama, Ahmed A.
(2025)
"Choosing Optimal Supply Radius of Transformer Substations (TSs) in Iraq’s Cities Using Geometric Programming with Neutrosophic Coefficients,"
Neutrosophic Systems with Applications: Vol. 16:
Iss.
1, Article 8.
DOI: https://doi.org/10.61356/j.nswa.2024.16205
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
