Intelligent Planning of Transmission Networks: Addressing Uncertainties Through Artificial Intelligence

Year : 2024 | Volume :15 | Issue : 03 | Page : –
By

Saleem Malik,

Abdul Basith,

Mahammad Ramzeen,

Mahammad Razeen,

Mahammad Junaid,

  1. Student, Department of Computer Science, P. A. College of Engineering, Mangaluru, Karnataka, India
  2. Student, Department of Computer Science, P. A. College of Engineering, Mangaluru, Karnataka, India
  3. Student, Department of Computer Science, P. A. College of Engineering, Mangaluru, Karnataka, India
  4. Student, Department of Computer Science, P. A. College of Engineering, Mangaluru, Karnataka, India
  5. Student, Department of Computer Science, P. A. College of Engineering, Mangaluru, Karnataka, India

Abstract

Power grid planning is a critical aspect of power grid topology, traditionally relying on manual methods that are prone to various uncertainties. These uncertainties, both subjective (stemming from human judgment) and objective (resulting from data limitations), can significantly affect the reliability and efficiency of the planning process. This paper presents an artificial intelligence (AI) method aimed at improving the smart planning of transmission networks. By utilizing AI, the proposed method systematically analyzes and optimizes the factors contributing to uncertainties in traditional planning methods. The AI-based model processes and evaluates topology data comprehensively, leading to more accurate and reliable planning outcomes. Furthermore, continuous monitoring is integrated into the system to ensure that the planning process remains dynamic and responsive to real-time changes. The final planning results are generated with a high degree of precision, effectively minimizing the uncertainties that plagued earlier methods. Consequently, AI-driven techniques not only meet the stringent requirements of intelligent transmission grid planning but also facilitate the continuous evolution and optimization of transmission network planning. This approach is well-suited to support the ongoing development and complexity of modern power grids, ensuring more resilient and efficient grid topology.

Keywords: artificial intelligence, grid planning, grid topology, planning process, transmission network planning

[This article belongs to Journal of Computer Technology & Applications (jocta)]

How to cite this article:
Saleem Malik, Abdul Basith, Mahammad Ramzeen, Mahammad Razeen, Mahammad Junaid. Intelligent Planning of Transmission Networks: Addressing Uncertainties Through Artificial Intelligence. Journal of Computer Technology & Applications. 2024; 15(03):-.
How to cite this URL:
Saleem Malik, Abdul Basith, Mahammad Ramzeen, Mahammad Razeen, Mahammad Junaid. Intelligent Planning of Transmission Networks: Addressing Uncertainties Through Artificial Intelligence. Journal of Computer Technology & Applications. 2024; 15(03):-. Available from: https://journals.stmjournals.com/jocta/article=2024/view=177285

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Regular Issue Subscription Review Article
Volume 15
Issue 03
Received 27/08/2024
Accepted 22/09/2024
Published 07/10/2024
Views: 45

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