College of Engineering

A Master thesis was discussed in Department of Electrical Engineering / College of Engineering at University of Mosul entitled “Designing an intelligent system to detect and identify faults types in solar power system farms”, Supervised By Assist. Prof. Dr. Omar Sharaf Al-Din Yahya On Thursday, August, 28, 2025.
The thesis presented by, “Anwer Mahmood Fadhil Jadallah aimed to Design and development of a diagnostic system based on artificial intelligence techniques for the early detection, classification, and localization of electrical faults in photovoltaic farms, with the aim of enhancing operational reliability, reducing maintenance costs, and minimizing downtime “”
The thesis discusses The importance of using machine learning algorithms in fault diagnosis, analyzing the impact of fault resistance on the accuracy of classification models, in addition to examining the effectiveness of the hybrid model in enhancing detection performance compared to traditional algorithms, with the application extended to various photovoltaic system topologies
The results showed The hybrid model excelled in achieving near-perfect accuracy of 99.16% in the series-parallel (SP) configuration and also demonstrated its effectiveness in more complex topologies such as BL and HC, with an accuracy approaching 96%. Furthermore, it was shown that fault resistance is a key factor influencing classification performance
The current study is considered one of the sustainable studies to achieve the goals of sustainable development, especially the fourth goal “quality education” and the ninth goal “industry, innovation and infrastructure” through” By developing an intelligent model for fault diagnosis in solar farms, this thesis contributes to advancing academic knowledge and enhancing scientific research skills. It also supports innovation in the renewable energy sector and promotes the improvement of clean and smart energy infrastructure”.